Evidence map›Paper›PMID 32854798›Full record

ArticleBJPsych open2020

Schizophrenia around the time of pregnancy: leveraging population-based health data and electronic health record data to fill knowledge gaps.

Clare L Taylor, Trine Munk-Olsen, Louise M Howard, Simone N Vigod

Open access · goldAbstract read
In one paragraph

Article in BJPsych open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 15% 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, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
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  3. Article
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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

4 authors at 3 institutions in 3 countries.

Clare L TaylorWomen's College Hospital, Canada.ORCID https://orcid.org/0000-0002-6181-1400
Trine Munk-OlsenDepartment of Economics and Business Economics, Aarhus University, Denmark.
Louise M HowardWomen's Mental Health, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, UK.ORCID https://orcid.org/0000-0001-9942-744X
Simone N VigodWomen's College Research Institute, Women's College Hospital, Canada.
Women's College Hospital · CAAarhus University · DKKing's College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch in schizophrenia and pregnancy has traditionally been conducted in small samples. More recently, secondary analysis of routine healthcare data has facilitated access to data on large numbers of women with schizophrenia.

aimsTo discuss four scientific advances using data from Canada, Denmark and the UK from population-level health registers and clinical data sources.

methodNarrative review of research from these three countries to illustrate key advances in the area of schizophrenia and pregnancy.

resultsHealth administrative and clinical data from electronic medical records have been used to identify population-level and clinical cohorts of women with schizophrenia, and follow them longitudinally along with their children. These data have demonstrated that fertility rates in women with schizophrenia have increased over time and have enabled documentation of the course of illness in relation with pregnancy, showing the early postpartum as the time of highest risk. As a result of large sample sizes, we have been able to understand the prevalence of and risk factors for rare outcomes that would be difficult to study in clinical research. Advanced pharmaco-epidemiological methods have been used to address confounding in studies of antipsychotic medications in pregnancy, to provide data about the benefits and risks of treatment for women and their care providers.

conclusionsUse of these data has advanced the field of research in schizophrenia and pregnancy. Future developments in use of electronic health records include access to richer data sources and use of modern technical advances such as machine learning and supporting team science.

Indexed as

epidemiologyinformation technologiesperinatal psychiatrypregnancySchizophrenia

Identifiers

PMID32854798
PMCPMC7488329
OpenAlexW3081843254

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.