Evidence map›Paper›PMID 32874932›Full record

ArticleAnnals of global health2020

Improving the Caesarean Decision by Robson Classification: A Population-Based Study by 5,323,500 Livebirth Data.

H Omer Tontus, Saniye Nebioglu

Open access · goldAbstract read
In one paragraph

Article in Annals of global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 19% of its field
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

11 citing papers in PubMed, 23 citations in OpenAlex.

  1. Observational
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  8. Analysis of Cesarean Section Ratios by Robson Classification.Journal of obstetrics and gynaecology of India · 2024
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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

2 authors at 1 institution in 1 country.

H Omer TontusScience and Letter Faculty, Molecular Biology and Genetics Department, Istanbul Technical University, TR.
Saniye NebiogluHealthcare Services Department, Gynecology and Obstetrics Specialist, Public Hospital Directorate, TR.
Istanbul Technical University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Caesarean section is a major obstetric intervention for saving lives of women and their newborns from pregnancy- and childbirth-related complications. C-Section rate is considered an important indicator for measuring obstetric services in any country, region, or institution. In many countries, based on population, all-cause C-Section rates have increased steadily during the past half century. The high and rising C-Section rate is certainly a cause for concern, and evidence-based information is needed as to how or why the C-Section rate has increased and what needs to be done. In this study, we tried to demonstrate how the Robson Classification can be used as a common starting point to audit caesarean deliveries. Objectives: Given the lack of a scientifically proven classification system to observe and compare caesarean rates, the WHO proposes adopting the Robson's criteria-related grouping as an internationally applicable C-Section classification system. Methods: We conducted a retrospective study to look into the relation of Robson Criteria and C-Section. Our four years of study encompass 5,323,500 livebirths in Turkey and provide an important source of information for evaluating statistical data. Findings: We analysed pregnancies according to the percentage of live births in Robson's groups and the caesarean rate within the Robson's groups. In total, 2,764,373 pregnant women have undergone caesarean over 4 years with a 51.9% C-Section rate. According to our findings, as time progresses, the R5 group are expanding due to the caesarean sections groups R1-R4.The R5 group C-Section rate increased regularly from 22.2% in 2013 to 24.3% in 2016. Caesarean sections performed in R1-R4 groups cause subsequent pregnancies of these women to result in caesarean section. Conclusions: Our results suggest the Robson classification system will help in analysing, screening, auditing, and comparing caesarean rates across different hospitals, countries, or regions and will help to create and implement effective strategies specifically to reach WHO recommended C-Section rates.

Indexed as

Cesarean SectionLive BirthFemaleHumansInfant, NewbornPregnancyResearchRetrospective StudiesTurkey

Identifiers

PMID32874932
PMCPMC7442169
OpenAlexW3049397792

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.