Evidence map›Paper›PMID 35392917›Full record

ArticleBMC medicine2022

Differences in risk factors for incident and recurrent preterm birth: a population-based linkage of 3.5 million births from the CIDACS birth cohort.

Aline S Rocha, Rita de Cássia Ribeiro-Silva, Rosemeire L Fiaccone, Enny S Paixao, Ila R Falcão, Flavia Jôse O Alves, Natanael J Silva, Naiá Ortelan, Laura C Rodrigues, Maria Yury Ichihara and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Exposure to low concentrations of PMBMC public health · 2025
    Article
  3. Article
  4. Joint effects of prenatal PMFrontiers in public health · 2025
    Article
  5. Article
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

12 authors at 5 institutions in 3 countries.

Aline S RochaSchool of Nutrition, Federal University of Bahia, Salvador, Brazil. linny_rochaa@hotmal.com.ORCID 0000-0003-3806-6446
Rita de Cássia Ribeiro-SilvaSchool of Nutrition, Federal University of Bahia, Salvador, Brazil.
Rosemeire L FiacconeCenter for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.
Enny S PaixaoCenter for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.
Ila R FalcãoSchool of Nutrition, Federal University of Bahia, Salvador, Brazil.
Flavia Jôse O AlvesCenter for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.
Natanael J SilvaCenter for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.
Naiá OrtelanCenter for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.
Laura C RodriguesCenter for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.
Maria Yury IchiharaCenter for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.
Marcia F de AlmeidaSchool of Public Health, University of São Paulo, São Paulo, Brazil.
Mauricio L BarretoCenter for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.
Universidade Federal da Bahia · BRFundação Oswaldo Cruz · BRLondon School of Hygiene & Tropical Medicine · GBBarcelona Institute for Global Health · ESUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreterm birth (PTB) is a syndrome resulting from a complex list of underlying causes and factors, and whether these risk factors differ in the context of prior PTB history is less understood. The aim of this study was to explore whether PTB risk factors in a second pregnancy were different in women with versus without previous PTB.

methodsWe conducted a population-based cohort study using data from the birth cohort of the Center for Data and Knowledge Integration for Health (CIDACS) for the period 2001 to 2015. We used longitudinal transition models with multivariate logistic regression to investigate whether risk factors varied between incident and recurrent PTB.

resultsA total of 3,528,050 live births from 1,764,025 multiparous women were analyzed. We identified different risk factors (P

conclusionsThe risk factors for PTB in the second pregnancy differed according to women's first pregnancy PTB status. The findings give the basis for the development of specific prevention strategies for PTB in a subsequent pregnancy.

Indexed as

Premature BirthAdolescentAdultBirth CohortCohort StudiesFemaleHumansInfant, NewbornMaternal AgeMiddle AgedPregnancyRisk FactorsYoung AdultIncident preterm birthPoor populationsPreterm birthRecurrent preterm birthRisk factor

Identifiers

PMID35392917
PMCPMC8991880
OpenAlexW4223427532

What OpenQuestion holds

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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.