Evidence map›Paper›PMID 29036387›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2018

Uncovering exposures responsible for birth season - disease effects: a global study.

Mary Regina Boland, Pradipta Parhi, Li Li, Riccardo Miotto, Robert Carroll, Usman Iqbal, Phung-Anh Alex Nguyen, Martijn Schuemie, Seng Chan You, Donahue Smith and 9 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 7 pooled it
11.0field-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

25 citing papers in PubMed, 7 syntheses or guidelines pooled it, 55 citations in OpenAlex.

  1. Pooled it
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  8. Article
  9. Capacity Planning (Capital, Staff and Costs) of Inpatient Maternity Services: Pitfalls for the Unwary.International journal of environmental research and public health · 2025
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  11. Determining the Importance of Clinical Modalities for NeuroDegenerative Disorders and Risk of Patient Injury Using Machine Learning and Survival Analysis.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2025
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  17. Learning from local to global: An efficient distributed algorithm for modeling time-to-event data.Journal of the American Medical Informatics Association : JAMIA · 2020
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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

19 authors at 8 institutions in 3 countries.

Mary Regina BolandDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA.
Pradipta ParhiDepartment of Earth and Environmental Engineering, Columbia University, New York, NY, USA.
Li LiDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Riccardo MiottoDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Robert CarrollDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Usman IqbalObservational Health Data Sciences and Informatics, Columbia University, New York, NY, USA.
Phung-Anh Alex NguyenObservational Health Data Sciences and Informatics, Columbia University, New York, NY, USA.
Martijn SchuemieObservational Health Data Sciences and Informatics, Columbia University, New York, NY, USA.
Seng Chan YouObservational Health Data Sciences and Informatics, Columbia University, New York, NY, USA.
Donahue SmithDepartment of Biomedical Informatics, University of Washington, Seattle, Washington, USA.
Sean MooneyDepartment of Biomedical Informatics, University of Washington, Seattle, Washington, USA.
Patrick RyanDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
Yu-Chuan Jack LiObservational Health Data Sciences and Informatics, Columbia University, New York, NY, USA.
Rae Woong ParkObservational Health Data Sciences and Informatics, Columbia University, New York, NY, USA.
Josh DennyDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Joel T DudleyDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
George HripcsakDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
Pierre GentineDepartment of Earth and Environmental Engineering, Columbia University, New York, NY, USA.
Nicholas P TatonettiDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
Columbia University · USIcahn School of Medicine at Mount Sinai · USTaipei Medical University · TWUniversity of Washington · USVanderbilt University Medical Center · USAjou University · KRJanssen (United States) · USUniversity of Pennsylvania · US

Funding

Institute of Translational Health SciencesUL1TR000423 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$49.4M
University of Washington Biomedical Informatics and Data Science Research Training ProgramT15LM007442 · NLM · UNIVERSITY OF WASHINGTON · PI JOHN H. GENNARI, Andrea L. Hartzler · 2002 to 2026
$19.6M
NRSA Training CoreTL1TR001875 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SPANN, MARISA N, TAYLOR, JACQUELYN Y · 2016 to 2025
$8.9M
Biomedical Data Translator Technical Feasibility Assessment and Architecture DesignOT3TR002027 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DUMONTIER, MICHEL, TATONETTI, NICHOLAS P · 2016 to 2019
$2.7M
Drug Effect Discovery Through Data Mining and Integrative Chemical BiologyR01GM107145 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI TATONETTI, NICHOLAS P · 2014 to 2018
$2.5M
CLINICAL AND TRANSLATIONAL SCIENCE AWARDTL1RR024158 · NCRR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2006 to 2011
$1.6M
Clinical and Translational Science AwardTL1TR000082 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$732k
NCATS NIH HHS OT3 TR002027NCATS NIH HHS TL1 TR000082NCATS NIH HHS TL1 TR001875NCATS NIH HHS UL1 TR000423NCRR NIH HHS TL1 RR024158NIGMS NIH HHS R01 GM107145NLM NIH HHS T15 LM007442
6 · The paper itself

Abstract

objectiveBirth month and climate impact lifetime disease risk, while the underlying exposures remain largely elusive. We seek to uncover distal risk factors underlying these relationships by probing the relationship between global exposure variance and disease risk variance by birth season. MATERIAL AND

methodsThis study utilizes electronic health record data from 6 sites representing 10.5 million individuals in 3 countries (United States, South Korea, and Taiwan). We obtained birth month-disease risk curves from each site in a case-control manner. Next, we correlated each birth month-disease risk curve with each exposure. A meta-analysis was then performed of correlations across sites. This allowed us to identify the most significant birth month-exposure relationships supported by all 6 sites while adjusting for multiplicity. We also successfully distinguish relative age effects (a cultural effect) from environmental exposures.

resultsAttention deficit hyperactivity disorder was the only identified relative age association. Our methods identified several culprit exposures that correspond well with the literature in the field. These include a link between first-trimester exposure to carbon monoxide and increased risk of depressive disorder (R = 0.725, confidence interval [95% CI], 0.529-0.847), first-trimester exposure to fine air particulates and increased risk of atrial fibrillation (R = 0.564, 95% CI, 0.363-0.715), and decreased exposure to sunlight during the third trimester and increased risk of type 2 diabetes mellitus (R = -0.816, 95% CI, -0.5767, -0.929).

conclusionA global study of birth month-disease relationships reveals distal risk factors involved in causal biological pathways that underlie them.

Indexed as

attention deficit hyperactivity disorderelectronic health recordsenvironmental exposurepregnancyseasons

Identifiers

PMID29036387
PMCPMC7282503
OpenAlexW2759618036

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.