Evidence map›Paper›PMID 37748506›Full record

ArticleAmerican journal of perinatology2024

A Scoping Review of Preterm Birth Risk Factors.

Irene D Tang, Daniel Mallia, Qi Yan, Itsik Pe'er, Anita Raja, Ansaf Salleb-Aouissi, Ronald Wapner

Abstract readScoping Review
In one paragraph

Article in American journal of perinatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

7 authors.

Irene D TangVagelos College of Physicians and Surgeons, Columbia University, New York, New York.ORCID 0000-0002-7440-3721
Daniel MalliaDepartment of Computer Science, Hunter College, New York, New York.
Qi YanDepartment of Obstetrics and Gynecology, Columbia University Medical Center, New York, New York.
Itsik Pe'erDepartment of Computer Science, Columbia University, New York, New York.
Anita RajaDepartment of Computer Science, Hunter College, New York, New York.
Ansaf Salleb-AouissiDepartment of Computer Science, Columbia University, New York, New York.
Ronald WapnerDepartment of Obstetrics and Gynecology, Columbia University Medical Center, New York, New York.

Funding

SCH: Prediction of Preterm Birth in Nulliparous WomenR01LM013327 · NLM · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI FRIEDMAN, ALEXANDER M, PE'ER, ITSHACK G · 2019 to 2022
$1.2M
National Library Of Medicine of the National Institutes of Health R01LM013327NLM NIH HHS R01 LM013327
6 · The paper itself

Abstract

Preterm birth is a major cause of neonatal morbidity and mortality, but its etiology and risk factors are poorly understood. We undertook a scoping review to illustrate the breadth of risk factors for preterm birth that have been reported in the literature. We conducted a search in the PubMed database for articles published in the previous 5 years. We determined eligibility for this scoping review by screening titles and abstracts, followed by full-text review. We extracted odds ratios and other measures of association for each identified risk factor in the articles. A total of 2,509 unique articles were identified from the search, of which 314 were eligible for inclusion in our final analyses. We summarized risk factors and their relative impacts in the following categories: Activity, Psychological, Medical History, Toxicology, Genetics, and Vaginal Microbiome. Many risk factors for preterm birth have been reported. It is challenging to synthesize findings given the multitude of isolated risk factors that have been studied, inconsistent definitions of risk factors and outcomes, and use of different covariates in analyses. Novel methods of analyzing large datasets may promote a more comprehensive understanding of the etiology of preterm birth and ability to predict the outcome. KEY POINTS: · Preterm birth is difficult to predict.. · Preterm birth has many diverse risk factors.. · Holistic approaches may yield new insights..

Indexed as

Premature BirthFemaleHumansInfant, NewbornMicrobiotaPregnancyRisk FactorsVagina

Identifiers

PMID37748506
PMCPMC11891747

What OpenQuestion holds

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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.