Evidence map›Paper›PMID 33338307›Full record

Observational studyBJOG : an international journal of obstetrics and gynaecology2021

Using Robson's Ten-Group Classification System for comparing caesarean section rates in Europe: an analysis of routine data from the Euro-Peristat study.

J Zeitlin, M Durox, A Macfarlane, S Alexander, G Heller, M Loghi, J Nijhuis, H Sól Ólafsdóttir, E Mierzejewska, M Gissler and 2 more

Erratum issuedAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BJOG : an international journal of obstetrics and gynaecology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
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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

22 citing papers in PubMed.

  1. Article
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  3. Effects of fetal presentation on mode of delivery in 26 143 twin pregnancies: A nationwide, population-based observational study of 31-year real-world data.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025
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  14. Corrigendum.BJOG : an international journal of obstetrics and gynaecology · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

J ZeitlinCRESS, Obstetrical Perinatal and Paediatric Epidemiology Research Team, EPOPe, INSERM, INRA, Universite de Paris, Paris, France.ORCID 0000-0002-9568-2969
M DuroxCRESS, Obstetrical Perinatal and Paediatric Epidemiology Research Team, EPOPe, INSERM, INRA, Universite de Paris, Paris, France.
A MacfarlaneCentre for Maternal and Child Health Research, School of Health Sciences, City, University of London, London, UK.
S AlexanderPerinatal Epidemiology and Reproductive Health Unit, CR2, School of Public Health, ULB, Brussels, Belgium.
G HellerInstitute for Quality Assurance and Transparency in Health Care, Berlin, Germany.
M LoghiDirectorate for Social Statistics and Welfare, Italian Statistical Institute (ISTAT), Rome, Italy.
J NijhuisDepartment of Obstetrics & Gynaecology, Maastricht University Medical Centre, MUMC+, Maastricht, The Netherlands.
H Sól ÓlafsdóttirDepartment of Obstetrics and Gynaecology, Landspitali University Hospital, Reykjavik, Iceland.
E MierzejewskaDepartment of Epidemiology and Biostatistics, National Research Institute of Mother and Child, Warsaw, Poland.
M GisslerDepartment of Epidemiology and Biostatistics, National Research Institute of Mother and Child, Warsaw, Poland.
B BlondelTHL Finnish Institute for Health and Welfare, Helsinki, Finland.
Euro-Peristat Network

Funding

Bridge Health Project 665691InfAct 801553Joint Action 801553Public Health Programme, Consumers, Health, Agriculture and Food Executive Agency (CHAFEA)
6 · The paper itself

Abstract

objectiveRobson's Ten Group Classification System (TGCS) creates clinically relevant sub-groups for monitoring caesarean birth rates. This study assesses whether this classification can be derived from routine data in Europe and uses it to analyse national caesarean rates.

designObservational study using routine data.

settingTwenty-seven EU member states plus Iceland, Norway, Switzerland and the UK. POPULATION: All births at ≥22 weeks of gestational age in 2015.

methodsNational statistical offices and medical birth registers derived numbers of caesarean births in TGCS groups.

main outcome measuresOverall caesarean rate, prevalence and caesarean rates in each of the TGCS groups.

resultsOf 31 countries, 18 were able to provide data on the TGCS groups, with UK data available only from Northern Ireland. Caesarean birth rates ranged from 16.1 to 56.9%. Countries providing TGCS data had lower caesarean rates than countries without data (25.8% versus 32.9%, P = 0.04). Countries with higher caesarean rates tended to have higher rates in all TGCS groups. Substantial heterogeneity was observed, however, especially for groups 5 (previous caesarean section), 6, 7 (nulliparous/multiparous breech) and 10 (singleton cephalic preterm). The differences in percentages of abnormal lies, group 9, illustrate potential misclassification arising from unstandardised definitions.

conclusionsAlthough further validation of data quality is needed, using TGCS in Europe provides valuable comparator and baseline data for benchmarking and surveillance. Higher caesarean rates in countries unable to construct the TGCS suggest that effective routine information systems may be an indicator of a country's investment in implementing evidence-based caesarean policies. TWEETABLE ABSTRACT: Many European countries can provide Robson's Ten-Group Classification to improve caesarean rate comparisons.

Indexed as

Cesarean SectionEuropeFemaleHumansLive BirthPregnancyCaesarean birthEuropehealth information systemsperinatal health indicatorsRobson classificationTen-Group Classification System

Identifiers

PMID33338307
PMCPMC8359161

What OpenQuestion holds

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LicenceCC BY
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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.