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INDEX
SR. NO. TOPIC PAGE NO.
1. INTRODUCTION 2-3
2. OBJECTIVE 3
3. SIGNIFICANCE 3-4
4. DATA COLLECTION 4-6
5. RESEARCH METHODOLOGY 6-8
6. DATA ANALYSIS 9-23
7. LIMITATION 23
8. DISCUSSION 24-25
9. BIBLIOGRAPHY 26
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INTRODUCTION
Schizophrenia is a psychotic disorder marked by severely impaired thinking, emotions, and
behaviours. Schizophrenic patients are typically unable to filter sensory stimuli and may
have enhanced perceptions of sounds, colours, and other features of their environment. Most
schizophrenics, if untreated, gradually withdraw from interactions with other people, and
lose their ability to take care of personal needs and grooming.
The course of schizophrenia in adults can be divided into three phases or stages. In the acute
phase, the patient has an overt loss of contact with reality (psychotic episode) that requires
intervention and treatment. In the second or stabilization phase, the initial psychotic
symptoms have been brought under control but the patient is at risk for relapse if treatment is
interrupted. In the third or maintenance phase, the patient is relatively stable and can be kept
indefinitely on antipsychotic medications. Even in the maintenance phase, however, relapses
are not unusual and patients do not always return to full functioning.
Typical antipsychotic (sometimes referred to as first generation antipsychotics, conventional
antipsychotics, classical neuroleptics, or major tranquilizers )which include drugs like
Chlorpromazine,Droperidol,Flupenthixol,Fluphenazine,Haloperidol,Thioridazine act on the
dopaminergic system, blocking the dopamine type 2 (D2) receptors. Atypical antipsychotics
(also known as second generation antipsychotics) such as Clozapine,Olanzapine,Risperidone
have lower affinity and occupancy for the dopaminergic receptors, and a high degree of
occupancy of the serotoninergic receptors 5-HT2A.
Typical antipsychotics use may consequently increase the risk of a wide variety of
undesirable side-effects. For example, their anticholinergic side-effects include dry mouth,
urinary hesitancy, constipation and visual disturbance.Furthermore, their prolonged use may
lead to weight gain. Interference with dopaminergic transmission can lead to both
endocrinological side-effects such as hyperprolactinaemia, which may manifest itself as
galactorrhoea, amenorrhoea and gynaecomastia, and extrapyramidal side-effects (EPS).
Atypical antipsychotics have gained much notoriety for causing metabolic derangements
including weight gain, dyslipidemia, and hyperglycemia including new-onset type 2 diabetes
mellitus (T2DM). These adverse effects are all risk factors for cardiovascular disease, and
along with lifestyle and genetic components, contribute to the decreased lifespan of patients
with schizophrenia.
Olanzapine is a most commonly used drug in schizophrenia that faces a problem of weight
gain.Which have been tried to overcome by the use of Olimelt which is a mouth dissolving
tablet (ODT) and have shown lesser weight gain as compare to standard olanzapine
tablet(SOT) according to the clinical survey.
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In a non-randomized, observational clinical study by (Czekalla 2007) shows comparable
outcomes and tolerability in patients treated with both olanzapine formulations. In an acute
treatment setting, orally disintegrating tablets were preferably used for more severely ill and
aggressive patients with low medication acceptance. In this study the rating of medication
acceptance shows that ODT is preferably given to patients with a negative attitude towards
medication and who are, therefore, at risk of being non-compliant, but still can be persuaded
to accept oral medication.
OBJECTIVE
The objective of the present survey is to develop national baseline estimates and determine
the extent of olimelt(ODT) prefer by the doctors.
Olanzapine comes in the form of standard tablets in market and also come in oral
disintegrating formulation. So the issue is to check the effectiveness and medication
acceptance of olanzapine disintegrating tablets compares to standard olenzapine tablets in
patients.
olanzapine is an effective second-generation antipsychotic (1,2). However,weight gain has
been very commonly observed during olanzapine treatment and this may increase the risk of
treatment non-adherence and relapse and exacerbate poor self-esteem and the risk of
comorbidities (3,4). Consequently, there is an important need to develop effective strategies
to prevent, minimise or reverse weight gain during treatment with olanzapine.
The potential option for minimising weight gain during olanzapine therapy is to switch
patients from the standard olanzapine tablets (SOT) formulation of olanzapine to orally
disintegrating olanzapine (ODO) tablets.
The another objective of this study is to obtain patient compliance as Patients ’ preference is
both clinically and financially important, and it can have a long-term implications in terms of
patients ’ motivation and insight into their disease state and its treatment, which might have
a direct impact on the patient’s compliance and treatment adherence.
SIGNIFICANCE
• Significance to trainee
Through this work we came to know about new formulation of olanzapine molecule
that is ODT OLIMELT besides its conventional formulation that is already available.
We also become aware of the limitation of the conventional formulation and options
to overcome it.
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A SUMMER TRAINING PROJECT REPORT
This project throws light on us about the market surveillance as per company’s
prospective. We knew about the parameters which are taken into consideration
during market survey.
By doing this work we had a chance to interact with company employees and the
methodology which INTAS uses for carrying out market surveillance of any new
formulation.
• Significance to INTAS
Through this kind of study the company knows about the successful rate of the
product that has been launched in market.
The company carries out this study to know how successfully the new formulation
overcomes the limitation of the conventional formulation.
The company carries out the survey in different zones of the country to know
intersubject variability.
Market survey can help the company to know about the doctors preference to the
new formulation in place of conventional ones and the major reasons to shift to the
new formulation.
The company’s profit also taken in to consideration in carrying out this kind of
studies.
• Significance to subject
Violence is a complex behavioral phenomenon with many causes. Violence and
aggressive behavior are common among patients with psychiatric disorders so they
are commonly refuse to take drug, this problem can be overcome by the use of mouth
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dissolving olimelt. Since these patient deny to take the drug,ODT can be given with
the patient’s food and drinks.
There are many ways to manage violent situations. One of them by using
antipsychotic agent like olanzapine. Olanzapine is second-generation antipsychotic
agents, and it has more than 1 route of delivery such as oral ,intramuscular etc. Orally
disintegrating olanzapine tablets (olanzapine ODT) produced similar improvements
in acutely agitated patients.
DATA COLLECTION
 ‘ASTERA’ A Division of INTAS Pharmaceutical Pvt. Has collected data of one survey
project for revealing the ‘doctors perception’ for the OLIMELT that is ODT formulation of
the olanzepine molecule.
 INTAS has collected these data from the conferences which were organized by the company
at where the doctors were made to fill this survey card.
 The other way to collect this data by the help of medical representative whom visit the
doctors for the product marketing.
 We procure these data from INTAS PHARMACEUTICALS which was collected from
different zones of country.
 The picture shows the survey card designed by INTAS which was made to fill by the doctors
to give their opinion about the olimelt.
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A SUMMER TRAINING PROJECT REPORT
There are seven question mentioned in this survey card but mainly four questions that is
question no. 4,5,6,7 were analysed.
 Question no 4 is about the experience of less weight gain with olimelt which is one
of the major side effect with SOT formulation.
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A SUMMER TRAINING PROJECT REPORT
 Question no 5 mentions about the average no. of new and old schizophrenic patients
that doctors diagnosed daily.
 Question no 6 is about the percentage break up of the neuroleptics preferred by the
doctors in newly diagnosed schizophrenic patients.
 Question no 7 is about the major reason as well as the percentage shift for the other
neuroleptics.
RESEARCH METHODOLOGY
As per the data provided by the INTAS PHARMACEUTICALS based on the survey
regarding OLIMELT (ODT) and its preference by the doctors over the SOT, A series
of the statistical and mathematical tool were applied for analysing and compiling the
data.
SPSS a software of statistical analysis is used for carrying out various statistics test
such as t-test, chi-square test, correlation coefficient, regression ANOVA etc and
various graphical presentations like pie chart, bar graph are used to analyse these
collected data.
THE CHI-SQUARE TEST
Introduction: The chi-square test is a statistical test that can be used to determine
whether observed frequencies are significantly different from expected frequencies.
we would use a chi-square test to compare the observed and expected frequencies
and determine whether there is a statistically significant difference between the two.
As in other statistical tests, we begin by stating a null hypothesis (H0: there is no
significant difference between observed and expected frequencies) and an alternative
hypothesis (H1: there is a significant difference). Based on the outcome of the chi-
square test we will either reject or fail to reject the null hypothesis.
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Importance: Chi-square tests enable us to compare observed and expected
frequencies objectively, since it is not always possible to tell just by looking at them
whether they are "different enough" to be considered statistically significant.
Statistical significance in this case implies that the differences are not due to chance
alone, but instead may be indicative of other processes at work.
Purpose of Chi Square:
The Chi Square (X2
) test is undoubtedly the most important and most used member
of the nonparametric family of statistical tests. Chi Square is employed to test the
difference between an actual sample and another hypothetical or previously
established distribution such as that which may be expected due to chance or
probability. Chi Square can also be used to test differences between two or more
actual samples.
Basic Computational Equation
Example:
Interpretation of chi-square
o The magnitude of the chi-square value must be judged against a table of
values of the chi-square distribution:
o One must enter this table using the appropriate degrees of freedom: calculated
according to the size of the table:
o X2
degrees of freedom = df
 = (rows - 1) (columns - 1)
o Given the same degrees of freedom, the larger the chi-square value, the more
"significant" it is.
o The entries in the chi-square table for a given chi-square are matched with
"alpha" levels at specified levels of significance, e.g., .050 or .010 or .001
20112011
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A SUMMER TRAINING PROJECT REPORT
o A chi-square as large as 75 for 10 degrees of freedom would be expected by
chance fewer than 1 time in 1000.
BAR CHART OR BAR GRAPH
A bar graph is that two dimensional graphic representation where the elementary graphic
objects are a set of rectangles drawn in parallel so that the extension of the
same is proportional to the magnitude they intend to represent.
The rectangles, or bars, can be either horizontally or vertically positioned. In the latter case
they receive the name ofcolumn graphs or charts.
In the following we'll refer to both of them as "bar graphs" independently of the orientation
of the rectangles.
Typically they are used to
• compare magnitudes among several categories or
• the evolution in time (the change) of a particular magnitude.
• the comparison of the evolution in time of several categories, i.e., they are also used
as a blend of the two preceding uses.
PIE CHART
A pie chart is a graphical data analysis technique for summarizing the distributional
information of a variable. It is a circular plot consisting of wedges where the size of each
wedge is proportional to the frequency (= number of observations) in that wedge. The plot is
to be read clockwise.
20112011
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DATA ANALYSIS
ANALYSIS OF QUESTION NO.4
We analysed the data for less weight gain experience of the patient with olimelt by using
chi-square test with the help of SPSS software.
HYPOTHESIS
H0 = Patient not experience less weight gain
HA = Patient experience less weight gain
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A SUMMER TRAINING PROJECT REPORT
input1.sav
OUTPUT
WEIGHT
BY exp.witholimeltt .
NPAR TEST
/CHISQUARE=exp.witholimeltt
/EXPECTED=EQUAL
/STATISTICS DESCRIPTIVES
/MISSING ANALYSIS.
Descriptive Statistics
N Mean Std. Deviation Minimum Maximum
experience of less weight
gain with olimelt 433 1.43 .496 1 2
Chi-Square Test
Frequencies
experience of less weight gain with olimelt
Observed N Expected N Residual
Yes 245 216.5 28.5
No 188 216.5 -28.5
Total 433
Test Statistics
experience of
less weight
gain with
olimelt
Chi-
Square(a)
7.503
Df 1
Asymp. Sig. .006
a 0 cells (.0%) have expected frequencies less than 5. The minimum expected cell frequency is 216.5.
RESULT
20112011
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A SUMMER TRAINING PROJECT REPORT
The chi-square value obtained by using SPSS software is 7.503 which is much greater than
3.84(table value of chi-square) at 5% level of significance with degree of freedom 1. As per
the rule the value at the right side of 3.84 is the rejection area while at the left side it is the
acceptance region. Since our result value is 7.503 which on the right side of the graph, the
null hypothesis is rejected and alternative hypothesis is accepted.
The value 7.503 is much greater then 3.84(table value) so we can say that the value is highly
significant.
CONCLUSION
From the above result it can be concluded that olimelt has been successful in overcoming the
limitation of weight gain which was experience by the SOD.
ANALYSIS FOR QUESTION NO.5
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A SUMMER TRAINING PROJECT REPORT
The sample size of the patient seen by a doctor per day was determined by finding the
average of new and old patient and plotting a chart for finding the ratio of old vs new
schizophrenic patient seen by a doctor per day.
old $ new
patient.xlsx
OUTPUT
SD 0.577350269
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A SUMMER TRAINING PROJECT REPORT
RESULT
The bar graph is used to analyze the data of schizophrenic patient that the doctor diagnosis
daily. The graph is plotted for average no. of schizophrenic patient diagnosed by a doctor per
day.
The average value of new schizophrenic patient is 3.60 and that for old patient is 9.86. The
standard deviation obtained for the new patient is 0.577350269 and that for old patient is
0.707106781.
CONCLUSION
From the above graph it can be concluded that doctors come across more to the old
schizophrenic patient than new patient daily.
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A SUMMER TRAINING PROJECT REPORT
ANALYSIS OF QUESTION NO.6
The percentage break up of the neuroleptics preffered by the doctors in newely
diagnosed schizophrenic patients is calculated by finding the percentage of
each of the drug and plotted in a pie-chart.
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DRUG_RATIO.xlsx
OUTPUT
The pie chart is used to know the doctors preference for the antipsychotic drugs in case of
newly diagnosed schizophrenic patient. The antipsychotic agents used by the doctors are
olanzapine, haloperidol, risperidone, quetiapine, amisulpride, aripirazole, ziprasidone and
others.
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A SUMMER TRAINING PROJECT REPORT
RESULT
The average percentage of olanzapine used is 55.88. Doctors prefer this drug in case of
symptoms like insomnia, aggression, irritability and positive symptoms.
The average percentage of haloperidol is 15.91. It is preferred in the symptoms like
aggression, acute cases and positive symptoms.
The average percentage of risperidone is 20.86. it is preferred in the symptoms like
aggression,insomnia, positive symptoms and persistent symptoms.
The average percentage of quetiapine is 8.91. It is preferred in the symptoms like
aggression,insomnia and negative symptoms. It is mainly used for the young patient.
The average percentage of amisulpride is 7.64, Aripirazole is 3.00 Ziprasidone is 0.587
And others is 1.722.
CONCLUSION
From the above graph it can be concluded that olanzapine is the most widely used drug by
the doctor in case of newly diagnosed patient. Other than this haloperidol and risperidone is
also preferred by the doctor.
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A SUMMER TRAINING PROJECT REPORT
ANALYSIS OF QUESTION NO. 7
For determine the shifting of various typical and atypical neuroleptics which are mentioned in
survey given a code and then according to their percentage shift it was representated by plotting a
pie chart and bar graph.
que7.xlsx
WEST ZONE OF INDIA
SHIFTING OF ONE NEUROLEPTICS TO OTHERS
20112011
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A SUMMER TRAINING PROJECT REPORT
The above pie chart indicates the maximum shift occurs in olanzapine.
The order of shift of various neuroleptics is in following manner.
OLANZAPINE>RISPERIDONE> AMISULPRIDE>QUETIAPINE>
ARIPIPRAZOLE>OTHER NEUROLEPTICS>HALOPERIDOL>ZIPRASIDONE
Shifting of other neuroleptics to olanzapine
category percentage.prefference
olanzapine 55
haloperidol 3
risperidone 11
quetiapine 8
amisulpride 9
aripiprazole 7
ziprasidone 2
others 5
20112011
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A SUMMER TRAINING PROJECT REPORT
category no.of shifts
haloperidol-olanzapine 37
risperidone-olanzapine 11
amisulpride-olanzapine 2
others-olanzapine 5
The shifting to olanzapine from previous neuroleptic occurs in the following order
haloperidol > risperidone >others>amisulpride
Shifting to haloperidol
category no.of shifts
olanzapine - haloperidol 3
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A SUMMER TRAINING PROJECT REPORT
Out of data obtained from 100 doctors, only 3 doctors shift to haloperidol from the previous
neuroleptic.
Shiftng to risperidone
Category no.of shifts
olanzapine-risperidone 4
haloperidol-risperidone 3
others-risperidone 4
20112011
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A SUMMER TRAINING PROJECT REPORT
Out of 100 doctors opinion, only 11 doctors prefer to shift to risperidone from olanzapine,
haloperidol and others.
Shifting to quetiapine
category no.of shifts
olanzapine-quetiapine 6
haloperidol-quetiapine 2
The total shift to quetiapine
was found to be 8. Out of
which 6 shifts were from
olanzapine and 2 shifts were
from haloperidol.
Shifting to amisulpride
category no.of shifts
olanzapine-amisulpride 9
20112011
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A SUMMER TRAINING PROJECT REPORT
According to the 100 doctors opinion, only 9 doctors prefer to shift to risperidone from
olanzapine only.
Shifting to aripirazole
category no.of shifts
olanzapine-aripirazole 6
amisulpride-aripirazole 1
20112011
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A SUMMER TRAINING PROJECT REPORT
Total shift to aripiprazole was found to be 7 from olanzapine and amisulpride.
Shifting to ziprasidone
category no.of shifts
olanzapine-ziprasidone 1
risperidone-ziprasidone 1
According to the doctors view only 2 shifts to the ziprasidone were observed.
one from olanzapine and other from risperidone.
Shifting to other neuroleptics
category no.of shifts
olanzapine-others 2
risperidone-others 2
20112011
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A SUMMER TRAINING PROJECT REPORT
Out of 100 doctors only 4 doctors preferred other neuroleptics and the shift was from
olanzapine and risperidone.
EAST ZONE OF INDIA
SHIFTING OF ONE NEUROLEPTICS TO OTHERS
category percentage.prefference
olanzapine 62.5
haloperidol 6.25
risperidone 6.25
amisulpride 12.5
aripiprazole 6.25
others 6.25
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A SUMMER TRAINING PROJECT REPORT
Shifting of other neuroleptics to olanzapine
category no.of shifts
haloperidol-olanzapine 8
risperidone-olanzapine 1
others-olanzapine 1
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A SUMMER TRAINING PROJECT REPORT
RESULT
The data obtained from the west zone is quite sufficient for the analysis than data obtained
from the east zone of India.
With the use of pie chart we have analysed the percentage shifting in the neuroleptic agents.
It was observed by analysing the survey card that the major reasons for the shift from
haloperidol to olanzapine are extra pyramidal side effects, galactorrhea, insomnia.
The reason for the shift of olanzapine to resperidone is weight gain and sedation.
For the diabetic patient doctors preferred quatiapine in place of olanzapine.
CONCLUSION
From the above analysis it can be concluded that the major shifting is to the olanzapine drug
in both east and west region of the country.
LIMITATION
Since the data were procured by the company itself so we did not have a chance to interact
with the doctors and knew their strategy. Due to this we could not have more information
other than those described in the survey card.
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A SUMMER TRAINING PROJECT REPORT
There was lack of support from the doctors as they did not give the information up to the
point. Many columns like symptoms, reasons for shifting etc were left blank by the doctors.
There were no numerical data available for the patient experience of less weight gain since it
was a close ended question in the survey card.
DISCUSSION
After analysing the survey card of east and west region of India it was reported that
olanzapine is most preferable drug in india and olimelt which is a ODT formulation of
olanzapine shows less weight gain as compare to SOT formulation and it was proved
statistically also.
Some clinical trials give evidence, for example A study is being done to compare the
changes in weight (kg) and body mass index (BMI) (kg/m(2)) in 52 hospitalized adolescents
between baseline and after 12 weeks of monotherapy with either (i) olanzapine (OLZ) orally
disintegrating tablets (ODT) , (ii) OLZ standard oral tablets , or (iii) risperidone .
Significantly greater increases in mean weight and BMI were observed in the patients treated
20112011
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A SUMMER TRAINING PROJECT REPORT
with OLZ SOT than in those with ODT . These findings suggest that adolescents gain less
weight with OLZ ODT than OLZ SOT (Crocq MA et al.2007)
Reason for Possible less weight gain when patients switch to orally disintegrating
olanzapine from oral olanzapine tablets is observed in following study
Difference in absorption between olanzapine orally disintegrating tablets (ODT) and
olanzapine standard oral tablets (SOT) is suggested to be important regarding this matter.
Partial sublingual absorption occurring with orally disintegrating olanzapine may bypass
gastrointestinal metabolisation and hence lead to differences in metabolite versus parent
compound ratios (Arranz et al. 2007).
By analysing 295 doctors daily schedule to find the number of new and old patient seen by a
doctor per day. It was observed that doctors come across more to the old schizophrenic
patient with compare to new patient daily.
Neuroleptics(Olanzapine,haloperidol,risperidone,quetiapine,amisulpride,aripiprazole,
ziprasidone others )which are mentioned in survey card, olazapine is the most preferable
neroleptic and ziprasidone is the least preferable. The order of preference of these
neuroleptics which has been analysed from the survey cards is in the following way.
Olanzapine>risperidone>haloperidol>quetiapine>amisulpride>
aripiprazole> others >ziprasidone.
This has been observed that Olanzapine is the most preferable drug in east and west region
of India and according to the doctors this is more promising nueroleptics as compare to
others
So this must be the reason for major shifting to Olanzapine.
Due to insufficient data of east region we are not able to produce actual reports but major
shift to Olanzapine is observed clearly
In the west region The majority of the shift from various neuroleptics is to olanzapine
20112011
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A SUMMER TRAINING PROJECT REPORT
which account for about 55% in a survey of the doctors.
In the west zone the shift was in following manner:
OLANZAPINE>RISPERIDONE>AMISULPRIDE>QUETIAPINE>ARIPIPRAZOLE
>OTHER NEUROLEPTICS>HALOPERIDOL>ZIPRASIDONE
The shift to olanzapine has mostly occurred from haloperidol, risperidone,
quetiapine, amisupride and from other neuroleptics.
Shifting from these neuroleptics to the Olanzapine is being done because these neuroleptics
have several side effects like extra pyramidal side effects, galactorrhea, insomnia.
Some doctors also report the shift from olanzapine to other neuroleptic due to weight gain
and sedative effects of olanzapine. For the diabetic patient doctors preferred quatiapine in
place of olanzapine .
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A SUMMER TRAINING PROJECT REPORT
BIBLIOGRAPHY
• www.medscape.com/viewarticle/733704
• www.statpac.com/statistics-calculator/counts.htm
• Littrell KH, Petty RG, Wolf NM. Olanzapine: a 5-year perspective.
Expert Rev Neurother 2006; 6: 811–21.
• Leucht S, Corves C, Arbter D et al. Second-generation versus
firstgeneration antipsychotic drugs for schizophrenia: a meta-analysis.
Lancet 2009; 373: 31–41.
• Crocq MA, Guillon MS, Bailey PE & Provost D: Orally disintegratin
olanzapine induces less weight gain in adolescents than standard oral
tablets. Eur Psychiatry. 2007; 22:453-4.
• Arranz B, San L, Dueñas RM, Centeno M, Ramirez N, Salavert J & Del
Moral E: Lower weight gain with the orally disintegrating olanzapine
20112011
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than with standard tablets in first-episode never treated psychotic
patients. Hum Psychopharmacol. 2007; 22:11-5.

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SONIKA FINAL REPORT intas (1)

  • 1. 20112011 1 A SUMMER TRAINING PROJECT REPORT INDEX SR. NO. TOPIC PAGE NO. 1. INTRODUCTION 2-3 2. OBJECTIVE 3 3. SIGNIFICANCE 3-4 4. DATA COLLECTION 4-6 5. RESEARCH METHODOLOGY 6-8 6. DATA ANALYSIS 9-23 7. LIMITATION 23 8. DISCUSSION 24-25 9. BIBLIOGRAPHY 26
  • 2. 20112011 1 A SUMMER TRAINING PROJECT REPORT INTRODUCTION Schizophrenia is a psychotic disorder marked by severely impaired thinking, emotions, and behaviours. Schizophrenic patients are typically unable to filter sensory stimuli and may have enhanced perceptions of sounds, colours, and other features of their environment. Most schizophrenics, if untreated, gradually withdraw from interactions with other people, and lose their ability to take care of personal needs and grooming. The course of schizophrenia in adults can be divided into three phases or stages. In the acute phase, the patient has an overt loss of contact with reality (psychotic episode) that requires intervention and treatment. In the second or stabilization phase, the initial psychotic symptoms have been brought under control but the patient is at risk for relapse if treatment is interrupted. In the third or maintenance phase, the patient is relatively stable and can be kept indefinitely on antipsychotic medications. Even in the maintenance phase, however, relapses are not unusual and patients do not always return to full functioning. Typical antipsychotic (sometimes referred to as first generation antipsychotics, conventional antipsychotics, classical neuroleptics, or major tranquilizers )which include drugs like Chlorpromazine,Droperidol,Flupenthixol,Fluphenazine,Haloperidol,Thioridazine act on the dopaminergic system, blocking the dopamine type 2 (D2) receptors. Atypical antipsychotics (also known as second generation antipsychotics) such as Clozapine,Olanzapine,Risperidone have lower affinity and occupancy for the dopaminergic receptors, and a high degree of occupancy of the serotoninergic receptors 5-HT2A. Typical antipsychotics use may consequently increase the risk of a wide variety of undesirable side-effects. For example, their anticholinergic side-effects include dry mouth, urinary hesitancy, constipation and visual disturbance.Furthermore, their prolonged use may lead to weight gain. Interference with dopaminergic transmission can lead to both endocrinological side-effects such as hyperprolactinaemia, which may manifest itself as galactorrhoea, amenorrhoea and gynaecomastia, and extrapyramidal side-effects (EPS). Atypical antipsychotics have gained much notoriety for causing metabolic derangements including weight gain, dyslipidemia, and hyperglycemia including new-onset type 2 diabetes mellitus (T2DM). These adverse effects are all risk factors for cardiovascular disease, and along with lifestyle and genetic components, contribute to the decreased lifespan of patients with schizophrenia. Olanzapine is a most commonly used drug in schizophrenia that faces a problem of weight gain.Which have been tried to overcome by the use of Olimelt which is a mouth dissolving tablet (ODT) and have shown lesser weight gain as compare to standard olanzapine tablet(SOT) according to the clinical survey.
  • 3. 20112011 1 A SUMMER TRAINING PROJECT REPORT In a non-randomized, observational clinical study by (Czekalla 2007) shows comparable outcomes and tolerability in patients treated with both olanzapine formulations. In an acute treatment setting, orally disintegrating tablets were preferably used for more severely ill and aggressive patients with low medication acceptance. In this study the rating of medication acceptance shows that ODT is preferably given to patients with a negative attitude towards medication and who are, therefore, at risk of being non-compliant, but still can be persuaded to accept oral medication. OBJECTIVE The objective of the present survey is to develop national baseline estimates and determine the extent of olimelt(ODT) prefer by the doctors. Olanzapine comes in the form of standard tablets in market and also come in oral disintegrating formulation. So the issue is to check the effectiveness and medication acceptance of olanzapine disintegrating tablets compares to standard olenzapine tablets in patients. olanzapine is an effective second-generation antipsychotic (1,2). However,weight gain has been very commonly observed during olanzapine treatment and this may increase the risk of treatment non-adherence and relapse and exacerbate poor self-esteem and the risk of comorbidities (3,4). Consequently, there is an important need to develop effective strategies to prevent, minimise or reverse weight gain during treatment with olanzapine. The potential option for minimising weight gain during olanzapine therapy is to switch patients from the standard olanzapine tablets (SOT) formulation of olanzapine to orally disintegrating olanzapine (ODO) tablets. The another objective of this study is to obtain patient compliance as Patients ’ preference is both clinically and financially important, and it can have a long-term implications in terms of patients ’ motivation and insight into their disease state and its treatment, which might have a direct impact on the patient’s compliance and treatment adherence. SIGNIFICANCE • Significance to trainee Through this work we came to know about new formulation of olanzapine molecule that is ODT OLIMELT besides its conventional formulation that is already available. We also become aware of the limitation of the conventional formulation and options to overcome it.
  • 4. 20112011 1 A SUMMER TRAINING PROJECT REPORT This project throws light on us about the market surveillance as per company’s prospective. We knew about the parameters which are taken into consideration during market survey. By doing this work we had a chance to interact with company employees and the methodology which INTAS uses for carrying out market surveillance of any new formulation. • Significance to INTAS Through this kind of study the company knows about the successful rate of the product that has been launched in market. The company carries out this study to know how successfully the new formulation overcomes the limitation of the conventional formulation. The company carries out the survey in different zones of the country to know intersubject variability. Market survey can help the company to know about the doctors preference to the new formulation in place of conventional ones and the major reasons to shift to the new formulation. The company’s profit also taken in to consideration in carrying out this kind of studies. • Significance to subject Violence is a complex behavioral phenomenon with many causes. Violence and aggressive behavior are common among patients with psychiatric disorders so they are commonly refuse to take drug, this problem can be overcome by the use of mouth
  • 5. 20112011 1 A SUMMER TRAINING PROJECT REPORT dissolving olimelt. Since these patient deny to take the drug,ODT can be given with the patient’s food and drinks. There are many ways to manage violent situations. One of them by using antipsychotic agent like olanzapine. Olanzapine is second-generation antipsychotic agents, and it has more than 1 route of delivery such as oral ,intramuscular etc. Orally disintegrating olanzapine tablets (olanzapine ODT) produced similar improvements in acutely agitated patients. DATA COLLECTION  ‘ASTERA’ A Division of INTAS Pharmaceutical Pvt. Has collected data of one survey project for revealing the ‘doctors perception’ for the OLIMELT that is ODT formulation of the olanzepine molecule.  INTAS has collected these data from the conferences which were organized by the company at where the doctors were made to fill this survey card.  The other way to collect this data by the help of medical representative whom visit the doctors for the product marketing.  We procure these data from INTAS PHARMACEUTICALS which was collected from different zones of country.  The picture shows the survey card designed by INTAS which was made to fill by the doctors to give their opinion about the olimelt.
  • 6. 20112011 1 A SUMMER TRAINING PROJECT REPORT There are seven question mentioned in this survey card but mainly four questions that is question no. 4,5,6,7 were analysed.  Question no 4 is about the experience of less weight gain with olimelt which is one of the major side effect with SOT formulation.
  • 7. 20112011 1 A SUMMER TRAINING PROJECT REPORT  Question no 5 mentions about the average no. of new and old schizophrenic patients that doctors diagnosed daily.  Question no 6 is about the percentage break up of the neuroleptics preferred by the doctors in newly diagnosed schizophrenic patients.  Question no 7 is about the major reason as well as the percentage shift for the other neuroleptics. RESEARCH METHODOLOGY As per the data provided by the INTAS PHARMACEUTICALS based on the survey regarding OLIMELT (ODT) and its preference by the doctors over the SOT, A series of the statistical and mathematical tool were applied for analysing and compiling the data. SPSS a software of statistical analysis is used for carrying out various statistics test such as t-test, chi-square test, correlation coefficient, regression ANOVA etc and various graphical presentations like pie chart, bar graph are used to analyse these collected data. THE CHI-SQUARE TEST Introduction: The chi-square test is a statistical test that can be used to determine whether observed frequencies are significantly different from expected frequencies. we would use a chi-square test to compare the observed and expected frequencies and determine whether there is a statistically significant difference between the two. As in other statistical tests, we begin by stating a null hypothesis (H0: there is no significant difference between observed and expected frequencies) and an alternative hypothesis (H1: there is a significant difference). Based on the outcome of the chi- square test we will either reject or fail to reject the null hypothesis.
  • 8. 20112011 1 A SUMMER TRAINING PROJECT REPORT Importance: Chi-square tests enable us to compare observed and expected frequencies objectively, since it is not always possible to tell just by looking at them whether they are "different enough" to be considered statistically significant. Statistical significance in this case implies that the differences are not due to chance alone, but instead may be indicative of other processes at work. Purpose of Chi Square: The Chi Square (X2 ) test is undoubtedly the most important and most used member of the nonparametric family of statistical tests. Chi Square is employed to test the difference between an actual sample and another hypothetical or previously established distribution such as that which may be expected due to chance or probability. Chi Square can also be used to test differences between two or more actual samples. Basic Computational Equation Example: Interpretation of chi-square o The magnitude of the chi-square value must be judged against a table of values of the chi-square distribution: o One must enter this table using the appropriate degrees of freedom: calculated according to the size of the table: o X2 degrees of freedom = df  = (rows - 1) (columns - 1) o Given the same degrees of freedom, the larger the chi-square value, the more "significant" it is. o The entries in the chi-square table for a given chi-square are matched with "alpha" levels at specified levels of significance, e.g., .050 or .010 or .001
  • 9. 20112011 1 A SUMMER TRAINING PROJECT REPORT o A chi-square as large as 75 for 10 degrees of freedom would be expected by chance fewer than 1 time in 1000. BAR CHART OR BAR GRAPH A bar graph is that two dimensional graphic representation where the elementary graphic objects are a set of rectangles drawn in parallel so that the extension of the same is proportional to the magnitude they intend to represent. The rectangles, or bars, can be either horizontally or vertically positioned. In the latter case they receive the name ofcolumn graphs or charts. In the following we'll refer to both of them as "bar graphs" independently of the orientation of the rectangles. Typically they are used to • compare magnitudes among several categories or • the evolution in time (the change) of a particular magnitude. • the comparison of the evolution in time of several categories, i.e., they are also used as a blend of the two preceding uses. PIE CHART A pie chart is a graphical data analysis technique for summarizing the distributional information of a variable. It is a circular plot consisting of wedges where the size of each wedge is proportional to the frequency (= number of observations) in that wedge. The plot is to be read clockwise.
  • 10. 20112011 1 A SUMMER TRAINING PROJECT REPORT DATA ANALYSIS ANALYSIS OF QUESTION NO.4 We analysed the data for less weight gain experience of the patient with olimelt by using chi-square test with the help of SPSS software. HYPOTHESIS H0 = Patient not experience less weight gain HA = Patient experience less weight gain
  • 11. 20112011 1 A SUMMER TRAINING PROJECT REPORT input1.sav OUTPUT WEIGHT BY exp.witholimeltt . NPAR TEST /CHISQUARE=exp.witholimeltt /EXPECTED=EQUAL /STATISTICS DESCRIPTIVES /MISSING ANALYSIS. Descriptive Statistics N Mean Std. Deviation Minimum Maximum experience of less weight gain with olimelt 433 1.43 .496 1 2 Chi-Square Test Frequencies experience of less weight gain with olimelt Observed N Expected N Residual Yes 245 216.5 28.5 No 188 216.5 -28.5 Total 433 Test Statistics experience of less weight gain with olimelt Chi- Square(a) 7.503 Df 1 Asymp. Sig. .006 a 0 cells (.0%) have expected frequencies less than 5. The minimum expected cell frequency is 216.5. RESULT
  • 12. 20112011 1 A SUMMER TRAINING PROJECT REPORT The chi-square value obtained by using SPSS software is 7.503 which is much greater than 3.84(table value of chi-square) at 5% level of significance with degree of freedom 1. As per the rule the value at the right side of 3.84 is the rejection area while at the left side it is the acceptance region. Since our result value is 7.503 which on the right side of the graph, the null hypothesis is rejected and alternative hypothesis is accepted. The value 7.503 is much greater then 3.84(table value) so we can say that the value is highly significant. CONCLUSION From the above result it can be concluded that olimelt has been successful in overcoming the limitation of weight gain which was experience by the SOD. ANALYSIS FOR QUESTION NO.5
  • 13. 20112011 1 A SUMMER TRAINING PROJECT REPORT The sample size of the patient seen by a doctor per day was determined by finding the average of new and old patient and plotting a chart for finding the ratio of old vs new schizophrenic patient seen by a doctor per day. old $ new patient.xlsx OUTPUT SD 0.577350269
  • 14. 20112011 1 A SUMMER TRAINING PROJECT REPORT RESULT The bar graph is used to analyze the data of schizophrenic patient that the doctor diagnosis daily. The graph is plotted for average no. of schizophrenic patient diagnosed by a doctor per day. The average value of new schizophrenic patient is 3.60 and that for old patient is 9.86. The standard deviation obtained for the new patient is 0.577350269 and that for old patient is 0.707106781. CONCLUSION From the above graph it can be concluded that doctors come across more to the old schizophrenic patient than new patient daily.
  • 15. 20112011 1 A SUMMER TRAINING PROJECT REPORT ANALYSIS OF QUESTION NO.6 The percentage break up of the neuroleptics preffered by the doctors in newely diagnosed schizophrenic patients is calculated by finding the percentage of each of the drug and plotted in a pie-chart.
  • 16. 20112011 1 A SUMMER TRAINING PROJECT REPORT DRUG_RATIO.xlsx OUTPUT The pie chart is used to know the doctors preference for the antipsychotic drugs in case of newly diagnosed schizophrenic patient. The antipsychotic agents used by the doctors are olanzapine, haloperidol, risperidone, quetiapine, amisulpride, aripirazole, ziprasidone and others.
  • 17. 20112011 1 A SUMMER TRAINING PROJECT REPORT RESULT The average percentage of olanzapine used is 55.88. Doctors prefer this drug in case of symptoms like insomnia, aggression, irritability and positive symptoms. The average percentage of haloperidol is 15.91. It is preferred in the symptoms like aggression, acute cases and positive symptoms. The average percentage of risperidone is 20.86. it is preferred in the symptoms like aggression,insomnia, positive symptoms and persistent symptoms. The average percentage of quetiapine is 8.91. It is preferred in the symptoms like aggression,insomnia and negative symptoms. It is mainly used for the young patient. The average percentage of amisulpride is 7.64, Aripirazole is 3.00 Ziprasidone is 0.587 And others is 1.722. CONCLUSION From the above graph it can be concluded that olanzapine is the most widely used drug by the doctor in case of newly diagnosed patient. Other than this haloperidol and risperidone is also preferred by the doctor.
  • 18. 20112011 1 A SUMMER TRAINING PROJECT REPORT ANALYSIS OF QUESTION NO. 7 For determine the shifting of various typical and atypical neuroleptics which are mentioned in survey given a code and then according to their percentage shift it was representated by plotting a pie chart and bar graph. que7.xlsx WEST ZONE OF INDIA SHIFTING OF ONE NEUROLEPTICS TO OTHERS
  • 19. 20112011 1 A SUMMER TRAINING PROJECT REPORT The above pie chart indicates the maximum shift occurs in olanzapine. The order of shift of various neuroleptics is in following manner. OLANZAPINE>RISPERIDONE> AMISULPRIDE>QUETIAPINE> ARIPIPRAZOLE>OTHER NEUROLEPTICS>HALOPERIDOL>ZIPRASIDONE Shifting of other neuroleptics to olanzapine category percentage.prefference olanzapine 55 haloperidol 3 risperidone 11 quetiapine 8 amisulpride 9 aripiprazole 7 ziprasidone 2 others 5
  • 20. 20112011 1 A SUMMER TRAINING PROJECT REPORT category no.of shifts haloperidol-olanzapine 37 risperidone-olanzapine 11 amisulpride-olanzapine 2 others-olanzapine 5 The shifting to olanzapine from previous neuroleptic occurs in the following order haloperidol > risperidone >others>amisulpride Shifting to haloperidol category no.of shifts olanzapine - haloperidol 3
  • 21. 20112011 1 A SUMMER TRAINING PROJECT REPORT Out of data obtained from 100 doctors, only 3 doctors shift to haloperidol from the previous neuroleptic. Shiftng to risperidone Category no.of shifts olanzapine-risperidone 4 haloperidol-risperidone 3 others-risperidone 4
  • 22. 20112011 1 A SUMMER TRAINING PROJECT REPORT Out of 100 doctors opinion, only 11 doctors prefer to shift to risperidone from olanzapine, haloperidol and others. Shifting to quetiapine category no.of shifts olanzapine-quetiapine 6 haloperidol-quetiapine 2 The total shift to quetiapine was found to be 8. Out of which 6 shifts were from olanzapine and 2 shifts were from haloperidol. Shifting to amisulpride category no.of shifts olanzapine-amisulpride 9
  • 23. 20112011 1 A SUMMER TRAINING PROJECT REPORT According to the 100 doctors opinion, only 9 doctors prefer to shift to risperidone from olanzapine only. Shifting to aripirazole category no.of shifts olanzapine-aripirazole 6 amisulpride-aripirazole 1
  • 24. 20112011 1 A SUMMER TRAINING PROJECT REPORT Total shift to aripiprazole was found to be 7 from olanzapine and amisulpride. Shifting to ziprasidone category no.of shifts olanzapine-ziprasidone 1 risperidone-ziprasidone 1 According to the doctors view only 2 shifts to the ziprasidone were observed. one from olanzapine and other from risperidone. Shifting to other neuroleptics category no.of shifts olanzapine-others 2 risperidone-others 2
  • 25. 20112011 1 A SUMMER TRAINING PROJECT REPORT Out of 100 doctors only 4 doctors preferred other neuroleptics and the shift was from olanzapine and risperidone. EAST ZONE OF INDIA SHIFTING OF ONE NEUROLEPTICS TO OTHERS category percentage.prefference olanzapine 62.5 haloperidol 6.25 risperidone 6.25 amisulpride 12.5 aripiprazole 6.25 others 6.25
  • 26. 20112011 1 A SUMMER TRAINING PROJECT REPORT Shifting of other neuroleptics to olanzapine category no.of shifts haloperidol-olanzapine 8 risperidone-olanzapine 1 others-olanzapine 1
  • 27. 20112011 1 A SUMMER TRAINING PROJECT REPORT RESULT The data obtained from the west zone is quite sufficient for the analysis than data obtained from the east zone of India. With the use of pie chart we have analysed the percentage shifting in the neuroleptic agents. It was observed by analysing the survey card that the major reasons for the shift from haloperidol to olanzapine are extra pyramidal side effects, galactorrhea, insomnia. The reason for the shift of olanzapine to resperidone is weight gain and sedation. For the diabetic patient doctors preferred quatiapine in place of olanzapine. CONCLUSION From the above analysis it can be concluded that the major shifting is to the olanzapine drug in both east and west region of the country. LIMITATION Since the data were procured by the company itself so we did not have a chance to interact with the doctors and knew their strategy. Due to this we could not have more information other than those described in the survey card.
  • 28. 20112011 1 A SUMMER TRAINING PROJECT REPORT There was lack of support from the doctors as they did not give the information up to the point. Many columns like symptoms, reasons for shifting etc were left blank by the doctors. There were no numerical data available for the patient experience of less weight gain since it was a close ended question in the survey card. DISCUSSION After analysing the survey card of east and west region of India it was reported that olanzapine is most preferable drug in india and olimelt which is a ODT formulation of olanzapine shows less weight gain as compare to SOT formulation and it was proved statistically also. Some clinical trials give evidence, for example A study is being done to compare the changes in weight (kg) and body mass index (BMI) (kg/m(2)) in 52 hospitalized adolescents between baseline and after 12 weeks of monotherapy with either (i) olanzapine (OLZ) orally disintegrating tablets (ODT) , (ii) OLZ standard oral tablets , or (iii) risperidone . Significantly greater increases in mean weight and BMI were observed in the patients treated
  • 29. 20112011 1 A SUMMER TRAINING PROJECT REPORT with OLZ SOT than in those with ODT . These findings suggest that adolescents gain less weight with OLZ ODT than OLZ SOT (Crocq MA et al.2007) Reason for Possible less weight gain when patients switch to orally disintegrating olanzapine from oral olanzapine tablets is observed in following study Difference in absorption between olanzapine orally disintegrating tablets (ODT) and olanzapine standard oral tablets (SOT) is suggested to be important regarding this matter. Partial sublingual absorption occurring with orally disintegrating olanzapine may bypass gastrointestinal metabolisation and hence lead to differences in metabolite versus parent compound ratios (Arranz et al. 2007). By analysing 295 doctors daily schedule to find the number of new and old patient seen by a doctor per day. It was observed that doctors come across more to the old schizophrenic patient with compare to new patient daily. Neuroleptics(Olanzapine,haloperidol,risperidone,quetiapine,amisulpride,aripiprazole, ziprasidone others )which are mentioned in survey card, olazapine is the most preferable neroleptic and ziprasidone is the least preferable. The order of preference of these neuroleptics which has been analysed from the survey cards is in the following way. Olanzapine>risperidone>haloperidol>quetiapine>amisulpride> aripiprazole> others >ziprasidone. This has been observed that Olanzapine is the most preferable drug in east and west region of India and according to the doctors this is more promising nueroleptics as compare to others So this must be the reason for major shifting to Olanzapine. Due to insufficient data of east region we are not able to produce actual reports but major shift to Olanzapine is observed clearly In the west region The majority of the shift from various neuroleptics is to olanzapine
  • 30. 20112011 1 A SUMMER TRAINING PROJECT REPORT which account for about 55% in a survey of the doctors. In the west zone the shift was in following manner: OLANZAPINE>RISPERIDONE>AMISULPRIDE>QUETIAPINE>ARIPIPRAZOLE >OTHER NEUROLEPTICS>HALOPERIDOL>ZIPRASIDONE The shift to olanzapine has mostly occurred from haloperidol, risperidone, quetiapine, amisupride and from other neuroleptics. Shifting from these neuroleptics to the Olanzapine is being done because these neuroleptics have several side effects like extra pyramidal side effects, galactorrhea, insomnia. Some doctors also report the shift from olanzapine to other neuroleptic due to weight gain and sedative effects of olanzapine. For the diabetic patient doctors preferred quatiapine in place of olanzapine .
  • 31. 20112011 1 A SUMMER TRAINING PROJECT REPORT BIBLIOGRAPHY • www.medscape.com/viewarticle/733704 • www.statpac.com/statistics-calculator/counts.htm • Littrell KH, Petty RG, Wolf NM. Olanzapine: a 5-year perspective. Expert Rev Neurother 2006; 6: 811–21. • Leucht S, Corves C, Arbter D et al. Second-generation versus firstgeneration antipsychotic drugs for schizophrenia: a meta-analysis. Lancet 2009; 373: 31–41. • Crocq MA, Guillon MS, Bailey PE & Provost D: Orally disintegratin olanzapine induces less weight gain in adolescents than standard oral tablets. Eur Psychiatry. 2007; 22:453-4. • Arranz B, San L, Dueñas RM, Centeno M, Ramirez N, Salavert J & Del Moral E: Lower weight gain with the orally disintegrating olanzapine
  • 32. 20112011 1 A SUMMER TRAINING PROJECT REPORT than with standard tablets in first-episode never treated psychotic patients. Hum Psychopharmacol. 2007; 22:11-5.