ArticleScientific reports2017
Development of multivariable models to predict change in Body Mass Index within a clinical trial population of psychotic individuals.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- Predicting antipsychotic-induced weight gain in first episode psychosis - A field-wide systematic review and meta-analysis of non-genetic prognostic factors.European psychiatry : the journal of the Association of European Psychiatrists · 2023Pooled it
- Impact of Early Antipsychotic Prescription Choice on Weight Gain in the First 5 Years of Psychotic Illness: a Retrospective Cohort Study.Neurology and therapy · 2025Article
- Obesity and Schizophrenia: Results of a Feasibility Study with Semaglutide to Assist Weight Loss.Advances in therapy · 2025Article
- Development and interpretation of a machine learning model for predicting body mass index in Chinese adolescents: a prospective cohort study.Frontiers in public health · 2025Article
- Weight change following diagnosis with psychosis: a retrospective cohort study in Greater Manchester, UK.Annals of general psychiatry · 2024Article
- A review of model evaluation metrics for machine learning in genetics and genomics.Frontiers in bioinformatics · 2024Review
- First episode psychosis and weight gain a longitudinal perspective in Cheshire UK: a comparison between individuals with nonaffective versus affective psychosis.Cardiovascular endocrinology & metabolism · 2023Article
- The genetics of bipolar disorder with obesity and type 2 diabetes.Journal of affective disorders · 2022Review
- Previous exposure to antipsychotic drug treatment is an effective predictor of metabolic disturbances experienced with current antipsychotic drug treatments.BMC psychiatry · 2022Article
- Evidence that genes involved in hedgehog signaling are associated with both bipolar disorder and high BMI.Translational psychiatry · 2019Article
- Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances.Journal of visualized experiments : JoVE · 2018Article
- Is It Possible to Predict the Future in First-Episode Psychosis?Frontiers in psychiatry · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
Many antipsychotics promote weight gain, which can lead to non-compliance and relapse of psychosis. By developing models that accurately identify individuals at greater risk of weight gain, clinicians can make informed treatment decisions and target intervention measures. We examined clinical, genetic and expression data for 284 individuals with psychosis derived from a previously published randomised controlled trial (IMPACT). These data were used to develop regression and classification models predicting change in Body Mass Index (BMI) over one year. Clinical predictors included demographics, anthropometrics, cardiac and blood measures, diet and exercise, physical and mental health, medication and BMI outcome measures. We included genetic polygenic risk scores (PRS) for schizophrenia, bipolar disorder, BMI, waist-hip-ratio, insulin resistance and height, as well as gene co-expression modules generated by Weighted Gene Co-expression Network Analysis (WGCNA). The best performing predictive models for BMI and BMI gain after one year used clinical data only, which suggests expression and genetic data do not improve prediction in this cohort.
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Registered trials
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.