Evidence map›Paper›PMID 42047604›Full record

ArticleWomen's health (London, England)

Cesarean section rates in Lucas do Rio Verde, Brazil: Assessing the impact of socioeconomic status and maternal and neonatal outcomes.

Ramya Vemulapalli, Roni Arienti, Linder Wendt, Jay Brooks Jackson, Mary B Rysavy, Kimberly A Kenne

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Article in Women's health (London, England). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ramya VemulapalliDepartment of Obstetrics and Gynecology, University of Iowa Carver College of Medicine, Iowa City, IA, USA.ORCID 0009-0001-5967-0135
Roni ArientiDepartment of Obstetrics and Gynecology, Sao Lucas Hospital, Lucas do Rio Verde, Brazil.
Linder WendtInstitute for Clinical and Translational Science, University of Iowa, Iowa City, IA, USA.ORCID 0000-0003-1832-0486
Jay Brooks JacksonDepartment of Pathology, University of Iowa, Iowa City, IA, USA.
Mary B RysavyDepartment of Obstetrics, Gynecology and Reproductive Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA.ORCID 0000-0002-7657-5746
Kimberly A KenneDepartment of Obstetrics and Gynecology, University of Iowa, Iowa City, IA, USA.ORCID 0000-0002-2324-8266

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundBrazil is globally known for its high rate of cesarean section despite endorsing the WHO's current recommendation of 15%.ObjectivesDetermine if socioeconomic status correlated with the rate of cesarean section (CS) at a mixed private and public hospital in the west-central region of Brazil. Describe the maternal and neonatal outcomes by mode of delivery (MOD) in the same population.DesignCohort studyMethodsData from all delivering patients at São Lucas Hospital were collected during an 18-month period and analyzed. Demographics, baseline maternal health status, pregnancy and delivery information, maternal outcomes, and neonatal outcomes were entered into a secure database.ResultsData from 2,103 women who delivered at São Lucas Hospital were collected. 75% of women delivered via CS. 53.7% were elective in nature. Women who had ≥ 8 prenatal visits (OR1.36, 95% CI 1.06- 1.72, p= 0.013) and had insurance type plan (OR 1.88, 95% CI 1.43-2.50, p<0.001) were more likely to undergo CS. Women who worked in the commercial sector were less likely to undergo CS (OR 0.53, 95% CI 0.33-0.90, p= 0.015). Women who were older (OR 1.05, 95% CI 1.03-1.07, p <0.001) and had a high BMI (OR 1.11, 95% CI 1.08-1.13, p<0.001) were more likely to undergo CS. When examining women who underwent CS those women who were white (OR 1.40, 95% CI 1.11-1.78, p=0.005), were older (OR 1.04, 95% CI 1.03-1.06, p<0.001), worked in agriculture (OR 2.06, 95% CI 1.22-3.57, p=0.008), and had insurance type private (OR 1.79, 95% CI 1.22-2.65, p=0.003) or plan (OR 2.47, 95% CI 1.92-3.19, p<0.001) were more likely to have an elective CS. MOD was not associated with maternal or neonatal outcomes.ConclusionCS rates at São Lucas Hospital are high. Socioeconomic factors and maternal demographics were predictive of MOD. Maternal and neonatal outcomes in term deliveries did not differ by MOD.

Indexed as

Cesarean SectionPregnancy OutcomeSocial ClassAdultBrazilFemaleHumansInfant, NewbornLow Socioeconomic StatusPregnancyPrenatal CareSocioeconomic Disparities in HealthSocioeconomic FactorsYoung AdultBrazilcesarean section ratemode of deliverysocioeconomic

Identifiers

PMID42047604
PMCPMC13145035

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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.