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Chlorpromazine versus placebo for schizophrenia

2007· review· en· W4211084476 on OpenAlexaff
Clive E Adams, George Awad, John Rathbone, B. Thornley

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2007
Typereview
Languageen
Field
Topic
Canadian institutionsHumber River Regional Hospital
Fundersnot available
KeywordsPlaceboChlorpromazineMedicineSchizophrenia (object-oriented programming)PsychiatryInternal medicineAlternative medicinePathology

Abstract

fetched live from OpenAlex

BACKGROUND: Chlorpromazine, formulated in the 1950s, remains a benchmark treatment for people with schizophrenia. OBJECTIVES: To evaluate the effects of chlorpromazine for schizophrenia in comparison with placebo. SEARCH STRATEGY: We updated previous searches of the Cochrane Schizophrenia Group Register (October 1999), Biological Abstracts (1982-1995), the Cochrane Library (1999, Issue 2), EMBASE (1980-1995), MEDLINE (1966-1995), PsycLIT (1974-1995), and the Cochrane Schizophrenia Group Register (June 2002), by searching The Cochrane Schizophrenia Group Trials Register (January 2007). We searched references of all identified studies for further trial citations. We contacted pharmaceutical companies and authors of trials for additional information. SELECTION CRITERIA: We included all randomised controlled trials (RCTs) comparing chlorpromazine with placebo for people with schizophrenia and non-affective serious/chronic mental illness irrespective of mode of diagnosis. Primary outcomes of interest were death, violent behaviours, overall improvement, relapse and satisfaction with care. DATA COLLECTION AND ANALYSIS: We independently inspected citations and abstracts, ordered papers, re-inspected and quality assessed these. BT and JR extracted data. CEA and GA independently checked a 10% sample for reliability. We analysed dichotomous data using fixed effects relative risk (RR) and estimated the 95% confidence interval (CI) around this. Where possible we calculated the number needed to treat (NNT) or number needed to harm (NNH) statistics. We excluded continuous data if more than 50% of participants were lost to follow up; where continuous data were included, we analysed this data using fixed effects weighted mean difference (WMD) with a 95% confidence interval. MAIN RESULTS: We inspected over 1000 electronic records. The review currently includes 302 excluded studies and 50 included studies. We found chlorpromazine reduces relapse over the short (n=74, 2 RCTs, RR 0.29 CI 0.1 to 0.8) and medium term (n=809, 4 RCTs, RR 0.49 CI 0.4 to 0.6) but data are heterogeneous. Longer term homogeneous data also favoured chlorpromazine (n=512, 3 RCTs, RR 0.57 CI 0.5 to 0.7, NNT 4 CI 3 to 5). We found chlorpromazine provided a global improvement in a person's symptoms and functioning (n=1121, 13 RCTs, RR 'no change/not improved' 0.80 CI 0.8 to 0.9, NNT 6 CI 5 to 8). Fewer people allocated to chlorpromazine left trials early (n=1780, 26 RCTs, RR 0.65 CI 0.5 to 0.8, NNT 15 CI 11 to 24) compared with placebo. There are many adverse effects. Chlorpromazine is clearly sedating (n=1404, 19 RCTs, RR 2.63 CI 2.1 to 3.3, NNH 5 CI 4 to 8), it increases a person's chances of experiencing acute movement disorders (n=942, 5 RCTs, RR 3.5 CI 1.5 to 8.0, NNH 32 CI 11 to 154), parkinsonism (n=1265, 12 RCTs, RR 2.01 CI 1.5 to 2.7, NNH 14 CI 9 to 28). Akathisia did not occur more often in the chlorpromazine group than placebo (n=1164, 9 RCTs, RR 0.78 CI 0.5 to 1.1). Chlorpromazine clearly causes a lowering of blood pressure with accompanying dizziness (n=1394, 16 RCTs, RR 2.37 CI 1.7 to 3.2, NNH 11 CI 7 to 21) and considerable weight gain (n=165, 5 RCTs, RR 4.92 CI 2.3 to 10.4, NNH 2 CI 2 to 3). AUTHORS' CONCLUSIONS: The results of this review confirm much that clinicians and recipients of care already know but aim to provide quantification to support clinical impression. Chlorpromazine's global position as a 'benchmark' treatment for psychoses is not threatened by the findings of this review. Chlorpromazine, in common use for half a century, is a well established but imperfect treatment. Judicious use of this best available evidence should lead to improved evidence-based decision making by clinicians, carers and patients.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.024
metaresearch head score (Gemma)0.022
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.454
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0240.022
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0270.005
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0030.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.017

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.242
GPT teacher head0.438
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations217
Published2007
Admission routes1
Has abstractyes

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