ArticlePloS one2016
Caesarean Section in Peru: Analysis of Trends Using the Robson Classification System.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.
- Primary cesarean section in Sub-Saharan Africa: A systematic review and meta-analysis using the Robson Ten-Group Classification System.PloS one · 2026Pooled it
- Persistent Socioeconomic Concentration of Cesarean Delivery in Peru Across Selected Survey-Based Obstetric Marker Strata: A Serial Cross-Sectional Analysis of ENDES Rounds, 2018-2024.Healthcare (Basel, Switzerland) · 2026Article
- Implementation of the Robson classification for caesarean sections in Israel: a 10-year cross-sectional study.Israel journal of health policy research · 2025Article
- Recent temporal trends in cesarean section rates in Brazil according to the Robson classification system.Cadernos de saude publica · 2025Article
- Indications of Induction and Caesarean Sections Performed Using the Robson Classification in a University Hospital in Spain from 2010 to 2021.Healthcare (Basel, Switzerland) · 2023Article
- Flat trend of high caesarean section rates in Peru: A pooled analysis of 3,376,062 births from the national birth registry, 2012 to 2020.Lancet regional health. Americas · 2022Article
- Cesarean section rate changes after audit and feedback with the Ten Group Classification System in a French perinatal network: A retrospective pre-post study.Acta obstetricia et gynecologica Scandinavica · 2022Article
- Adverse pregnancy and perinatal outcomes in Latin America and the Caribbean: systematic review and meta-analysis.Revista panamericana de salud publica = Pan American journal of public health · 2022Review
- Using the Robson classification to assess caesarean section rates in Brazil: an observational study of more than 24 million births from 2011 to 2017.BMC pregnancy and childbirth · 2021Observational
- Examining Cesarean Delivery Rates by Race: a Population-Based Analysis Using the Robson Ten-Group Classification System.Journal of racial and ethnic health disparities · 2021Article
- Routine haemoglobin assay after uncomplicated caesarean sections.Przeglad menopauzalny = Menopause review · 2021Article
- Gestational Risk as a Determining Factor for Cesarean Section according to the Robson Classification Groups.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2021Article
- Observational
- Article
- Cesarean section rates in Brazil: Trend analysis using the Robson classification system.Medicine · 2020Article
- Analysis of Caesarean Section Rates Using the Robson Classification System at a University Hospital in Spain.International journal of environmental research and public health · 2020Article
- Trend of Cesarean Section Rates and Correlations with Adverse Maternal and Neonatal Outcomes: A Secondary Analysis of Thai Universal Coverage Scheme Data.AJP reports · 2019Article
- National policies and care provision in pregnancy and childbirth for twins in Eastern and Southern Africa: A mixed-methods multi-country study.PLoS medicine · 2019Article
- Article
- To evaluate rising caesarean section rate and factors contributing to it by using Modified Robson's Criteria at a tertiary care hospital.Pakistan journal of medical sciencesArticle
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
introductionCesarean section rates continue to increase worldwide while the reasons appear to be multiple, complex and, in many cases, country specific. Over the last decades, several classification systems for caesarean section have been created and proposed to monitor and compare caesarean section rates in a standardized, reliable, consistent and action-oriented manner with the aim to understand the drivers and contributors of this trend. The aims of the present study were to conduct an analysis in the three Peruvian geographical regions to assess levels and trends of delivery by caesarean section using the Robson classification for caesarean section, identify the groups of women with highest caesarean section rates and assess variation of maternal and perinatal outcomes according to caesarean section levels in each group over time. MATERIAL AND
methodsData from 549,681 pregnant women included in the Peruvian Perinatal Information System database from 43 maternal facilities in three Peruvian geographical regions from 2000 and 2010 were studied. The data were analyzed using the Robson classification and women were studied in the ten groups in the classification. Cochran-Armitage test was used to evaluate time trends in the rates of caesarean section rates and; logistic regression was used to evaluate risk for each classification.
resultsThe caesarean section rate was 27% and a yearly increase in the overall caesarean section rates from 2000 to 2010 from 23.5% to 30% (time trend p<0.001) was observed. Robson groups 1, 3 (nulliparous and multiparas, respectively, with a single cephalic term pregnancy in spontaneous labour), 5 (multiparas with a previous uterine scar with a single, cephalic, term pregnancy) and 7 (multiparas with a single breech pregnancy with or without previous scars) showed an increase in the caesarean section rates over time. Robson groups 1 and 3 were significantly associated with stillbirths (OR 1.43, CI95% 1.17-1.72; OR 3.53, CI95% 2.95-4.2) and maternal mortality (OR 3.39, CI95% 1.59-7.22; OR 8.05, CI95% 3.34-19.41). DISCUSSION: The caesarean section rates increased in the last years as result of increased CS in groups with spontaneous labor and in-group of multiparas with a scarred uterus. Women included in groups 1 y 3 were associated to maternal perinatal complications. Women with previous cesarean section constitute the most important determinant of overall cesarean section rates. The use of Robson classification becomes an useful tool for monitoring cesarean section in low human development index countries.
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