Evidence map›Paper›PMID 32049635›Full record

ArticleBMJ open diabetes research & care2020

Birth weight, family history of diabetes and diabetes onset in schizophrenia.

Emilio Fernandez-Egea, Ryan Walker, Hisham Ziauddeen, Rudolf N Cardinal, Edward T Bullmore

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
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

6 citing papers in PubMed, 13 citations in OpenAlex.

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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

5 authors at 1 institution in 2 countries.

Emilio Fernandez-EgeaDepartment of Psychiatry, Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK ef280@cam.ac.uk.ORCID 0000-0003-4128-8955
Ryan WalkerDepartment of Psychiatry, Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK.
Hisham ZiauddeenDepartment of Psychiatry, Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK.
Rudolf N CardinalDepartment of Psychiatry, Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK.
Edward T BullmoreDepartment of Psychiatry, Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK.
University of Cambridge · GB

Funding

Medical Research Council MC_PC_17213
6 · The paper itself

Abstract

introductionThe prevalence of diabetes in schizophrenia is twice that in the general population, but there are few reliable predictors of which individuals will develop glucose dysregulation.

objectiveTo test if abnormal birth weight (either too low or too high) and parental diabetes, both variables that can be ascertained in the clinic, can predict diabetes onset in patients with schizophrenia. RESEARCH DESIGN AND

methodsElectronic records of a cohort of 190 clozapine-treated patients (37% treated for more than 20 years) and Cox regression survival analysis (with any type of glucose dysregulation as the event) to account for differences in length of treatment before the event and age at clozapine treatment initiation.

resultsAge at clozapine initiation (Exp(B)=1.098; p<0.001), family history of diabetes (Exp(B)=2.299; p=0.049) and birth weight

conclusionsSince 48% of cases had at least one risk factor and 6% had both risk factors, there is a substantial proportion of patients for whom preventive strategies could be implemented.

Indexed as

Antipsychotic AgentsDiabetes MellitusSchizophreniaBirth WeightBody Mass IndexHumansAntipsychotic Agentsclozapinedevelopmentpsychiatry

Identifiers

PMID32049635
PMCPMC7039608
OpenAlexW3000395671

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.