Evidence map›Paper›PMID 37537549›Full record

ArticleBMC pregnancy and childbirth2023

Cesarean sections and early-term births according to Robson classification: a population-based study with more than 17 million births in Brazil.

Aline S Rocha, Enny S Paixao, Flavia Jôse O Alves, Ila R Falcão, Natanael J Silva, Camila S S Teixeira, Naiá Ortelan, Rosemeire L Fiaccone, Laura C Rodrigues, Maria Yury Ichihara and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Analysis of Cesarean Section Ratios by Robson Classification.Journal of obstetrics and gynaecology of India · 2024
    Article
  6. Article
  7. 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

13 authors at 6 institutions in 3 countries.

Aline S RochaSchool of Nutrition, Federal University of Bahia (UFBA), Araújo Pinho - No. 32, Canela, Salvador, Bahia, Brazil. linny_rochaa@hotmail.com.
Enny S PaixaoCenter for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.
Flavia Jôse O AlvesCenter for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.
Ila R FalcãoSchool of Nutrition, Federal University of Bahia (UFBA), Araújo Pinho - No. 32, Canela, Salvador, Bahia, Brazil.
Natanael J SilvaCenter for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.
Camila S S TeixeiraCenter 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.
Rosemeire L FiacconeCenter 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.
Mauricio L BarretoCenter for Data and Knowledge Integration for Health (CIDACS), Oswaldo Cruz Foundation, Salvador, Brazil.
Marcia F de AlmeidaSchool of Public Health, University of São Paulo (USP), São Paulo, Brazil.
Rita de Cássia Ribeiro-SilvaSchool of Nutrition, Federal University of Bahia (UFBA), Araújo Pinho - No. 32, Canela, Salvador, Bahia, Brazil.
Fundação Oswaldo Cruz · BRUniversidade Federal da Bahia · BRLondon School of Hygiene & Tropical Medicine · GBBarcelona Institute for Global Health · ESKnowledge Integration (United Kingdom) · GBUniversidade de São Paulo · BR

Funding

Wellcome TrustWellcome Trust 213589/Z/18/Z
6 · The paper itself

Abstract

backgroundCesarean section (CS) rates are increasing worldwide and are associated with negative maternal and child health outcomes when performed without medical indication. However, there is still limited knowledge about the association between high CS rates and early-term births. This study explored the association between CSs and early-term births according to the Robson classification.

methodsA population-based, cross-sectional study was performed with routine registration data of live births in Brazil between 2012 and 2019. We used the Robson classification system to compare groups with expected high and low CS rates. We used propensity scores to compare CSs to vaginal deliveries (1:1) and estimated associations with early-term births using logistic regression.

resultsA total of 17,081,685 live births were included. Births via CS had higher odds of early-term birth (OR 1.32; 95% CI 1.32-1.32) compared to vaginal deliveries. Births by CS to women in Group 2 (OR 1.50; 95% CI 1.49-1.51) and 4 (OR 1.57; 95% CI 1.56-1.58) showed the highest odds of early-term birth, compared to vaginal deliveries. Increased odds of an early-term birth were also observed among births by CS to women in Group 3 (OR 1.30, 95% CI 1.29-1.31), compared to vaginal deliveries. In addition, live births by CS to women with a previous CS (Group 5 - OR 1.36, 95% CI 1.35-1.37), a single breech pregnancy (Group 6 - OR 1.16; 95% CI 1.11-1.21, and Group 7 - OR 1.19; 95% CI 1.16-1.23), and multiple pregnancies (Group 8 - OR 1.46; 95% CI 1.40-1.52) had high odds of an early-term birth, compared to live births by vaginal delivery.

conclusionsCSs were associated with increased odds of early-term births. The highest odds of early-term birth were observed among those births by CS in Robson Groups 2 and 4.

Indexed as

Cesarean SectionTerm BirthBrazilChildCross-Sectional StudiesDelivery, ObstetricFemaleHumansPregnancyCesarean sectionEarly-term birthsRobson classification

Identifiers

PMID37537549
PMCPMC10399022
OpenAlexW4385551433

What OpenQuestion holds

Textmetadata
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.