Evidence map›Paper›PMID 35113166›Full record

ArticleJAMA network open2022

Assessment of Seasonality and Extremely Preterm Birth in Denmark.

Anders Hviid, Anna Laksafoss, Paula Hedley, Ulrik Lausten-Thomsen, Henrik Hjalgrim, Michael Christiansen, Sjurdur Frodi Olsen

Abstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

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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

12 citing papers in PubMed.

  1. Article
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  5. Exposure to Extreme Heat Increases Preterm Birth Risk: Hypothetical Pathophysiological Mechanisms.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Anders HviidDepartment of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
Anna LaksafossDepartment of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
Paula HedleyDepartment for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark.
Ulrik Lausten-ThomsenDepartment of Neonatology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.
Henrik HjalgrimDepartment of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
Michael ChristiansenDepartment for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark.
Sjurdur Frodi OlsenDepartment of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Preterm birth, particularly extremely preterm birth, has been associated with substantial morbidity and mortality. Research during SARS-CoV-2-related lockdowns revealed reductions in the more severe subtypes of preterm birth in some countries, suggesting the presence of preventable risk factors, such as infectious diseases or social behavior. Seasonality may provide a similar means of assessing natural changes in the daily life of pregnant individuals that were similar to those experienced during the COVID-19 lockdown period. Objective: To evaluate the association between seasonality and extremely preterm birth. Design, Setting, and Participants: This nationwide cohort study included 1 136 143 pregnancies in Denmark with onset between January 1, 1997, and December 31, 2016, in which the fetuses survived 21 completed weeks of gestation. Pregnancies were followed up until preterm birth, fetal death, or 37 completed weeks of gestation. Data were analyzed from September 2020 to September 2021. Exposures: Season during gestation (primary exposure) and season of pregnancy onset. Main Outcomes and Measures: The main outcome of extremely preterm birth was defined as a live birth occurring between 22 weeks, 0 days' gestation and 27 weeks, 6 days' gestation. Cox regression analyses were used to estimate hazard ratios (HRs) for season during gestation and season of pregnancy onset, with adjustment for socioeconomic and demographic factors. Results: Among 662 338 pregnant individuals, the median age at pregnancy onset was 30.0 years (IQR, 6.0 years). Of 1 136 143 pregnancies, 2009 extremely preterm births (cumulative incidence, 0.18%) were identified during follow-up. Season during gestation was associated with extremely preterm birth, with cumulative incidences of 0.17% (95% CI, 0.16%-0.19%) in spring, 0.18% (95% CI, 0.17%-0.20%) in summer, 0.20% (95% CI, 0.18%-0.21%) in autumn, and 0.16% (95% CI, 0.14%-0.17%) in winter. Compared with winter, the adjusted HRs (AHRs) for the risk of extremely preterm birth were 1.11 (95% CI, 0.97-1.26) for spring, 1.15 (95% CI, 1.02-1.31) for summer, and 1.25 (95% CI, 1.10-1.42) for autumn. The number of extremely preterm births associated with the increased risk in the spring, summer, and autumn was 56.1 (95% CI, 18.2-99.7), representing 2.8% (95% CI, 0.9%-5.0%) of all extremely preterm births in the study. Season of pregnancy onset was not associated with the risk of extremely preterm birth in spring (AHR, 0.98; 95% CI, 0.95-1.01) or summer (AHR, 1.00; 95% CI, 0.96-1.03) compared with winter, but a slight increase in risk was observed in autumn (AHR, 1.05; 95% CI, 1.02-1.09) compared with winter. Conclusions and Relevance: In this large, national cohort study, seasonality was associated with 2.8% of all extremely preterm births. Season during gestation was associated with the rate of extremely preterm birth, suggesting the presence of potential risk factors associated with season that may be preventable. Further research to identify risk factors for extremely preterm birth associated with seasonality is warranted.

Indexed as

Infant, Extremely PrematureSeasonsAdultCohort StudiesDenmarkFemaleHumansIncidenceInfant, NewbornPregnancyPremature BirthProportional Hazards Models

Identifiers

PMID35113166
PMCPMC8814911

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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.