Evidence map›Paper›PMID 30082353›Full record

ArticleBMJ open2018

Caesarean sections and the prevalence of preterm and early-term births in Brazil: secondary analyses of national birth registration.

Fernando C Barros, Dacio de Lyra Rabello Neto, Jose Villar, Stephen H Kennedy, Mariangela F Silveira, Jose Luis Diaz-Rossello, Cesar G Victora

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
6.1field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 74 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Observational
  6. COVID-19 Pandemic Impact on the Birth Weight of Children Born in a Brazilian Metropolis.International journal of environmental research and public health · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Gestational age: comparing estimation methods and live births' profile.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors at 4 institutions in 2 countries.

Fernando C BarrosPost-Graduate Program in Health and Behavior, Catholic University of Pelotas, Pelotas, Brazil.
Dacio de Lyra Rabello NetoMinistry of Health, Brasilia, Brazil.
Jose VillarNuffield Department of Obstetrics and Gynaecology and Oxford Maternal and Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK.
Stephen H KennedyNuffield Department of Obstetrics and Gynaecology and Oxford Maternal and Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK.
Mariangela F SilveiraPost Graduate Program in Epidemiology, Universidade Federal de Pelotas, Pelotas, Brazil.
Jose Luis Diaz-RosselloLatin American Center for Perinatology, Women and Reproductive Health (CLAP/WR-PAHO/WHO), Montevideo, Uruguay.
Cesar G VictoraPost Graduate Program in Epidemiology, Universidade Federal de Pelotas, Pelotas, Brazil.
Universidade Federal de Pelotas · BRUniversity of Oxford · GBMinistério da Saúde · BRUniversidade Católica de Pelotas · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate whether the high rates of caesarean sections (CSs) in Brazil have impacted on the prevalence of preterm and early-term births.

designIndividual-level, cross-sectional analyses of a national database.

settingAll hospital births occurring in the country in 2015.

participants2 903 716 hospital-delivered singletons in 3157 municipalities, representing >96% of the country's births. PRIMARY AND SECONDARY OUTCOME MEASURES: CS rates and gestational age distribution (<37, 37-38, 39-41 and 42 or more weeks' gestation). Outcomes were analysed according to maternal education, measured in years of schooling and municipal CS rates. Analyses were also adjusted for maternal age, marital status and parity.

resultsPrevalence of CS was 55.5%, preterm prevalence (<37 weeks' gestation) was 10.1% and early-term births (37-38 weeks of gestation) represented 29.8% of all births, ranging from 24.9% among women with <4 years of schooling to 39.8% among those with >12 years of education. The adjusted prevalence ratios of preterm and early-term birth were, respectively, 1.215 (1.174-1.257) and 1.643 (1.616-1.671) higher in municipalities with≥80% CS compared with those <30%.

conclusionsBrazil faces three inter-related epidemics: a CS epidemic; an epidemic of early-term births, associated with the high CS rates; and an epidemic of preterm birth, also associated with CS but mostly linked to poverty-related risk factors. The high rates of preterm and early-term births produce an excess of newborns at higher risk of short-term morbidity and mortality, as well as long-term developmental problems. Compared with high-income countries, there is an annual excess of 354 000 preterm and early-term births in Brazil.

Indexed as

Term BirthAdultBrazilCesarean SectionCross-Sectional StudiesDatabases, FactualEducational StatusFemaleGestational AgeHumansPregnancyPremature BirthPrevalenceYoung Adultcaesarean sectionsearly term birthsperinatologypreterm births

Identifiers

PMID30082353
PMCPMC6078248
OpenAlexW2887156224

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.