Evidence map›Paper›PMID 39833775›Full record

Observational studyBMC pregnancy and childbirth2025

Cesarean section in Suriname using robson classification: a two-year nationwide cross-sectional study on rates, risk factors and perinatal outcomes of cesarean section.

Zita D Prüst, Josephine A I Dupont, Safir Liesdek, Kitty W M Bloemenkamp, Thomas van den Akker, Kim J C Verschueren, Lachmi R Kodan

Abstract readObservational Study
In one paragraph

Observational study in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

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0cells of the map it votes in
2citing 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

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

  1. Pooled it
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Zita D PrüstDepartment of Obstetrics, Division Women and Baby, Birth Centre Wilhelmina's Children Hospital, University Medical Centre Utrecht, Utrecht University, UMC Utrecht, 3508 AB, Utrecht, Postbus 85090, the Netherlands. zitaprust@gmail.com.
Josephine A I DupontDepartment of Obstetrics and Gynaecology, Leiden University Medical Center, LUMC, 2300 RC Leiden, Leiden, Postbus 9600, the Netherlands.
Safir LiesdekDepartment of Neonatology, Academic Hospital Paramaribo (AZP), Afdeling Neonatologie, Flustraat 2, Paramaribo, Suriname.
Kitty W M BloemenkampDepartment of Obstetrics, Division Women and Baby, Birth Centre Wilhelmina's Children Hospital, University Medical Centre Utrecht, Utrecht University, UMC Utrecht, 3508 AB, Utrecht, Postbus 85090, the Netherlands.
Thomas van den AkkerDepartment of Obstetrics and Gynaecology, Leiden University Medical Center, LUMC, 2300 RC Leiden, Leiden, Postbus 9600, the Netherlands.
Kim J C VerschuerenDepartment of Obstetrics, Division Women and Baby, Birth Centre Wilhelmina's Children Hospital, University Medical Centre Utrecht, Utrecht University, UMC Utrecht, 3508 AB, Utrecht, Postbus 85090, the Netherlands.
Lachmi R KodanDepartment of Obstetrics, Division Women and Baby, Birth Centre Wilhelmina's Children Hospital, University Medical Centre Utrecht, Utrecht University, UMC Utrecht, 3508 AB, Utrecht, Postbus 85090, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOptimizing CS performance is a global health priority, given the maternal and perinatal morbidity and mortality associated with both underuse and overuse. This study aims to (1) determine the facility-based CS rate in Suriname and explore which women are most likely to undergo a CS and (2) classify all CS by the WHO Robson classification and analyze the perinatal outcomes.

methodsAn observational, cross-sectional study in Suriname, using nationwide birth registry data that included all hospital births in 2020 and 2021 (≥ 27 weeks of gestation). We used multivariate logistic regression analysis to assess maternal and perinatal characteristics associated with CS. We described cesarean births according to the Robson-10 classification and used descriptive statistics to analyze CS frequencies and perinatal outcomes.

resultsWe analyzed the 18,917 women who gave birth in Surinamese hospitals, with an overall 23.9% CS rate (n = 4522/18,917). The highest CS rates were seen among women with a previous CS (69.3%, aOR 16.2, 95% CI 14.4-18.2), BMI > 40 (47.0%, aOR 5.1, 95% CI 4.0-6.5), newborn with a birthweight from or above 4,000 g (37.3%, 2.2, 95% CI 1.6-3.0) and women giving birth at hospital IV (38.5%, aOR 1.8, 95% CI 1.6-2.0). Hindustani women were more likely to give birth by CS compared to Maroon women (aOR 1.6, 95% CI 1.4-2.0). The largest contribution to the overall CS rate was Robson group 5 (i.e. multiparous women with a previous CS and a singleton term pregnancy in cephalic presentation, 30.5%, n = 1,378). Robson group 2 and 4 (i.e. pre-labor CS, or CS after induction, among term women without previous CS and cephalic presentation) contributed to 21.8% (n = 985) of all CS performed. Robson group 1 and 3 (i.e. during spontaneous labor CS among term women without previous CS and cephalic presentation) accounted for 23.3% (n = 1,052) of all CS cases.

conclusionThe facility-based CS rate in Suriname is 24%, with substantial intra-country and inter-hospital variations. These disparities underscore the need for targeted interventions addressing both overuse and underuse of CS. Preventative measures should prioritize promoting safe VBAC, increasing assisted vaginal birth, preventing first-time CS and ongoing monitoring of trends and regular case audits.

Indexed as

Cesarean SectionAdultCross-Sectional StudiesFemaleHumansInfant, NewbornPregnancyPregnancy OutcomeRegistriesRisk FactorsSurinameYoung AdultCesarean section ratesLatin AmericaMiddle-income countryPerinatal outcomesRobson classification

Identifiers

PMID39833775
PMCPMC11748242

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LicenceCC BY-NC-ND
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Registered trials

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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.