Evidence map›Paper›PMID 34374418›Full record

SynthesisSchizophrenia bulletin2021

Examining Side Effect Variability of Antipsychotic Treatment in Schizophrenia Spectrum Disorders: A Meta-analysis of Variance.

Maria S Neumeier, Stephanie Homan, Stefan Vetter, Erich Seifritz, John M Kane, Maximilian Huhn, Stefan Leucht, Philipp Homan

Abstract readMeta-Analysis
In one paragraph

Synthesis in Schizophrenia bulletin, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Maria S NeumeierUniversity Hospital of Psychiatry Zurich, Zurich, Switzerland.
Stephanie HomanUniversity Hospital of Psychiatry Zurich, Zurich, Switzerland.
Stefan VetterUniversity Hospital of Psychiatry Zurich, Zurich, Switzerland.
Erich SeifritzUniversity Hospital of Psychiatry Zurich, Zurich, Switzerland.
John M KaneCenter for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA.
Maximilian HuhnDepartment of Psychiatry and Psychotherapy, Technical University of Munich, School of Medicine, Munich, Germany.
Stefan LeuchtDepartment of Psychiatry and Psychotherapy, Technical University of Munich, School of Medicine, Munich, Germany.ORCID 0000-0002-4934-4352
Philipp HomanUniversity Hospital of Psychiatry Zurich, Zurich, Switzerland.ORCID 0000-0001-9034-148X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Side effects of antipsychotic drugs play a key role in nonadherence of treatment in schizophrenia spectrum disorders (SSD). While clinical observations suggest that side effect variability between patients may be considerable, statistical evidence is required to confirm this. Here, we hypothesized to find larger side effect variability under treatment compared with control. We included double-blind, placebo-controlled, randomized controlled trials (RCTs) of adults with a diagnosis of SSD treated with 1 out of 14 antipsychotics. Standard deviations of the pre-post treatment differences of weight gain, prolactin levels, and corrected QT (QTc) times were extracted. The outcome measure was the variability ratio of treatment to control for individual antipsychotic drugs and the overall variability ratio of treatment to control across RCTs. Individual variability ratios were weighted by the inverse-variance method and entered into a random-effects model. We included N = 16 578 patients for weight gain, N = 16 633 patients for prolactin levels, and N = 10 384 patients for QTc time. Variability ratios (VR) were significantly increased for weight gain (VR = 1.08; 95% CI: 1.02-1.14; P = .004) and prolactin levels (VR = 1.38; 95% CI: 1.17-1.62; P < .001) but did not reach significance for QTc time (VR = 1.05; 95% CI: 0.98-1.12; P = 0.135). We found marked differences between individual antipsychotics and increased variability in side effects in patients under treatment with antipsychotics suggesting that subgroups of patients or individual patients may benefit from treatment allocation through stratified or personalized medicine.

Indexed as

Analysis of VarianceAntipsychotic AgentsHumansLong QT SyndromeProlactinSchizophreniaWeight GainAntipsychotic AgentsProlactinadverse effectsantipsychoticsprecision medicineprolactinQTc prolongationvariabilityweight gain

Identifiers

PMID34374418
PMCPMC8530397

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.