Evidence map›Paper›PMID 36946500›Full record

ArticleSchizophrenia bulletin2023

Impact of Early-Life Factors on Risk for Schizophrenia and Bipolar Disorder.

Natassia Robinson, Alexander Ploner, Marica Leone, Paul Lichtenstein, Kenneth S Kendler, Sarah E Bergen

Abstract read
In one paragraph

Article in Schizophrenia bulletin, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
8.2field-weighted citation impact, top 2% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Lung function predicts mortality in people with serious mental illness: A 6-year follow-up study.European psychiatry : the journal of the Association of European Psychiatrists · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Bipolar Disorder.Current opinion in neurobiology · 2023
    Review
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

6 authors at 2 institutions in 2 countries.

Natassia RobinsonDepartment of Medical Epidemiologiy and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Alexander PlonerDepartment of Medical Epidemiologiy and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-5042-8326
Marica LeoneDepartment of Medical Epidemiologiy and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Paul LichtensteinDepartment of Medical Epidemiologiy and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Kenneth S KendlerVirginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0001-8689-6570
Sarah E BergenDepartment of Medical Epidemiologiy and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-5888-0034
Karolinska Institutet · SEVirginia Commonwealth University · US

Funding

A comparison of environmental and genetic risks for schizophrenia and bipolar disorder: A Swedish national studyR01MH122544 · NIMH · KAROLINSKA INSTITUTE · PI BERGEN, SARAH E · 2020 to 2023
$1.2M
NIMH NIH HHS R01 MH122544
6 · The paper itself

Abstract

background and hypothesisSchizophrenia (SCZ) and bipolar disorder (BD) have shared genetic risk and clinical symptoms, yet the extent to which environmental risk factors are shared is not well known. We aimed to examine the associations of early-life environmental exposures with the risk of SCZ and BD. STUDY

designWe conducted a Swedish register-based nested case-control study using 4184 SCZ and 18 681 BD cases diagnosed 1988-2013, individually matched to 5 population-based controls by birth year, sex and birthplace. Conditional logistic regression was used to evaluate the risk of SCZ and BD by seasonality, severe prenatal infections, and perinatal factors. STUDY

resultsSeasonality had similar patterns of risk for both disorders: Higher risk for births November-December; lower risk April-June. Experiencing any perinatal factor was associated with a significantly higher risk of SCZ (incidence rate ratio [IRR] 1.19, 95%CI 1.11-1.63) and to a lesser extent BD (IRR 1.08, 95%CI 1.05-1.12). Prenatal infections were only associated with a greater risk of SCZ (IRR 1.30, 95%CI 1.04-1.63). In the mutually adjusted model, only perinatal factors were associated with outcomes. Several perinatal factors were associated with both disorders, but estimates were significantly higher for SCZ for low birth weight, low APGAR, and high parity. Congenital malformations were only associated with risk of SCZ, and jaundice with BD.

conclusionsAdverse perinatal factors and winter birth were the risk factors for both disorders, while severe prenatal infections were only risk a factor for SCZ. Early-life exposures were associated with a higher risk of both disorders, but may play a larger role in the development of SCZ than BD.

Indexed as

Bipolar DisorderSchizophreniaCase-Control StudiesHumansRisk FactorsSwedenenvironmental riskinfectionsobstetric complicationsseasonality

Identifiers

PMID36946500
PMCPMC10154720
OpenAlexW4353015275

What OpenQuestion holds

Textmetadata
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.