Evidence map›Paper›PMID 32604433›Full record

ArticleRevista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia2020

Cesarean Section Rate Analysis in a Tertiary Hospital in Portugal According to Robson Ten Group Classification System.

Sara Vargas, Susana Rego, Nuno Clode

Abstract read
In one paragraph

Article in Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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. A 10-year cesarean section rate analysis in a Brazilian referral maternity hospital using the Robson's ten group classification system.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2025
    Article
  2. 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

3 authors.

Sara VargasDepartamento de Ginecologia, Obstetrícia e Medicina da Reprodução, Hospital de Santa Maria, Centro Hospitalar de Lisboa Norte, Lisboa, Portugal.ORCID 0000-0001-5387-8739
Susana RegoDepartamento de Ginecologia, Obstetrícia e Medicina da Reprodução, Hospital de Santa Maria, Centro Hospitalar de Lisboa Norte, Lisboa, Portugal.ORCID 0000-0002-8313-8181
Nuno ClodeDepartamento de Ginecologia, Obstetrícia e Medicina da Reprodução, Hospital de Santa Maria, Centro Hospitalar de Lisboa Norte, Lisboa, Portugal.ORCID 0000-0003-4370-369X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe Robson 10 group classification system (RTGCS) is a reproducible, clinically relevant and prospective classification system proposed by the World Health Organization (WHO) as a global standard for assessing, monitoring and comparing cesarean section (CS) rates. The purpose of the present study is to analyze CS rates according to the RTGCS over a 3-year period and to identify the main contributors to this rate.

methodsWe reviewed data regarding deliveries performed from 2014 up to 2016 in a tertiary hospital in Portugal, and classified all women according to the RTGCS. We analyzed the CS rate in each group.

resultsWe included data from 6,369 deliveries. Groups 1 (

conclusionAs expected, Groups 1, 2, 5 and 10 were the greatest contributors to the overall CS rate. An attempt to increase the number of vaginal deliveries in these groups, especially in Groups 2 and 5, might contribute to the reduction of the CS rate.

Indexed as

Models, TheoreticalAdultCesarean SectionFemaleGestational AgeHumansObstetric Labor ComplicationsParityPortugalPregnancyTertiary Care Centers

Identifiers

PMID32604433
PMCPMC10418145

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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.