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Record W4211193412 · doi:10.1002/14651858.cd001951

Haloperidol dose for the acute phase of schizophrenia

2002· review· en· W4211193412 on OpenAlexaff
Lorna Donnelly, Paul Waraich, Clive E Adams, Karen M Hamill, J.L. Palmero Martí, Marta Roqué i Figuls, John Rathbone

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2002
Typereview
Languageen
Field
Topic
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineCochrane LibraryHaloperidolConfidence intervalRelative riskMEDLINEMeta-analysisPsychiatryPediatricsInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Haloperidol is a benchmark, accessible antipsychotic against which the effects of newer treatments are gauged. OBJECTIVES: The primary goal of this review is to determine the best range of doses for haloperidol for the treatment of people acutely ill with schizophrenia. SEARCH STRATEGY: The reviewers searched Biological Abstracts (1980-1999), CINAHL (1982-1999), The Cochrane Library (1999, Issue 2), The Cochrane Schizophrenia Group's Register (December 1999), EMBASE (1980-1999), MEDLINE (1966-1999) and PsycLIT (1887-1999). They also inspected all references of all identified trials and included studies sought as a citation on SCISEARCH database (1980-1999). Authors of identified studies and pharmaceutical companies were also contacted. SELECTION CRITERIA: Studies were selected if they involved people being treated for acute schizophrenia, randomised to two or more dose ranges of non-depot haloperidol, and if they reported clinically meaningful outcomes. DATA COLLECTION AND ANALYSIS: The reviewers independently and blindly inspected citations (10% reliability check), they ordered papers, and reliably re-inspected and quality assessed the full reports. The reviewers, again working independently, also extracted data. For homogeneous dichotomous data the relative risk (RR), 95% confidence intervals (CI) were calculated on an intention-to-treat basis. Reviewers assumed that people who left the study early or were lost to follow-up had a negative outcome. Weighted mean differences (WMD) were calculated for continuous outcomes that reported intention to treat (ITT), last observation carried forward (LOCF) data. Data was excluded if loss to follow-up was greater than 50%. MAIN RESULTS: Sixteen trials with nineteen different randomised dose comparisons were included. No studies reported data on relapse rates, quality of life and none compared >1.5-3.0 mg/day haloperidol to higher dose ranges. Using low doses (>3-7.5mg/day) did not clearly result in loss of efficacy (no clinically important improvement in global state, versus >7.5-15mg/day n=48, 1 RCT, RR 1.09 CI 0.7 to 1.8; versus >15-35mg/day n=81, 2 RCTs, 0.95 CI 0.8 to 1.2). Doses of haloperidol in the range of >3-7.5 mg/day had a lower rate of development of clinically significant extrapyramidal adverse effects than higher doses (clinically significant extrapyramidal adverse effects, versus >7.5-15mg/day n=64, 2 RCTs, RR 0.12 CI 0.01 to 2.1; versus >15-35mg/day n=144, 3 RCTs RR 0.59 CI 0.5 to 0.8, NNH 3 CI 2 to 6; versus >35mg/day n=86, 2 RCTs, RR 0.70 CI 0.5 to 1.1). All other comparisons between dose ranges did not yield statistically significant differences, but several, particularly with lower dose ranges, were underpowered to detect clinically meaningful differences. REVIEWER'S CONCLUSIONS: No results are conclusive and all are based on small, short, studies. It would be understandable, however, if clinicians were cautious in prescribing doses in excess of 7.5 mg/day of haloperidol to a person with uncomplicated acute schizophrenia, and if people with schizophrenia were equally reticent to take greater doses. Further research is needed regarding the efficacy and tolerability of the >1.5-3.0 mg/day dose range.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0040.003
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.226
GPT teacher head0.438
Teacher spread0.212 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations25
Published2002
Admission routes1
Has abstractyes

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