Evidence map›Paper›PMID 41593571›Full record

Observational studyBMC pregnancy and childbirth2026

Analysis of caesarean section rates according to the Robson classification system and indications for caesarean delivery: experience from a tertiary health centre in Turkey.

Soner Duzguner, Fulya Gokdagli Sagir, Ibrahim Kale, Ipek Nur Balin Duzguner

Abstract readObservational Study
In one paragraph

Observational study in BMC pregnancy and childbirth, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

The trial behind it

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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

1 citing paper in PubMed.

  1. 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

4 authors.

Soner DuzgunerDepartment of Obstetrics and Gynaecology, Uskudar University, Istanbul, Turkey. duzgunersoner@gmail.com.ORCID http://orcid.org/0000-0002-6398-2625
Fulya Gokdagli SagirDepartment of Obstetrics and Gynaecology, Galata University, Istanbul, Turkey.ORCID http://orcid.org/0000-0002-1087-8082
Ibrahim KaleDepartment of Obstetrics and Gynaecology, Umraniye Training and Research Hospital, Istanbul, Turkey.ORCID http://orcid.org/0000-0001-7802-7199
Ipek Nur Balin DuzgunerAssisted Reproductive Technologies and Genetic Center, Memorial Sisli Hospital, Istanbul, Turkey.ORCID http://orcid.org/0000-0003-1157-6817

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobally and in Turkey, caesarean section (CS) rates have risen steadily over recent decades, reflecting changes in clinical practice, maternal preference, medico-legal concerns, and healthcare system dynamics. The Robson Ten-Group Classification System, complemented by analysis of CS indications, provides a standardised and objective framework for identifying modifiable factors contributing to the increasing use of CS. This study aimed to evaluate CS rates in a tertiary healthcare centre in Turkey using the Robson classification in conjunction with specific clinical indications.

methodsThis retrospective observational study included all women who delivered at Umraniye Training and Research Hospital, Department of Obstetrics and Gynaecology, between 01 August 2018 and 11 September 2025. Data were obtained from the hospital’s electronic birth registry and categorised according to the Robson Ten-Group Classification System and indications for CS.

resultsDuring the study period, 25,767 births were recorded, of which 11,939 (46.4%) were delivered by CS. The most significant contribution to the overall CS rate originated from Robson Group 5 (23.8%), followed by Group 1 (5.2%). The most common indication for CS was previous uterine surgery, including prior CS and/or myomectomy (54.9%), followed by foetal distress (19.1%).

conclusionThe overall CS rate in this study was 46.4%, with Robson Groups 5 and 1 accounting for the majority of procedures (29.0% combined). Previous uterine surgery and foetal distress were the predominant indications.

Indexed as

Cesarean SectionAdultFemaleFetal DistressHumansPregnancyRetrospective StudiesTertiary Care CentersTurkeyUterine MyomectomyIndications for caesarean deliveryRobson Ten-Group classification systemTurkey

Identifiers

PMID41593571
PMCPMC12924576

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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.