Evidence map›Paper›PMID 35801228›Full record

ReviewEuropean journal of midwifery2022

Which classification system could empower the understanding of caesarean section rates in Greece? A review of systematic reviews.

Paraskevi Giaxi, Kleanthi Gourounti, Victoria G Vivilaki, Katerina Lykeridoy

Open access · goldAbstract readReview
In one paragraph

Review in European journal of midwifery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

4 authors at 1 institution in 2 countries.

Paraskevi GiaxiDepartment of Midwifery, School of Health and Care Sciences, University of West Attica, Athens, Greece.
Kleanthi GourountiDepartment of Midwifery, School of Health and Care Sciences, University of West Attica, Athens, Greece.
Victoria G VivilakiDepartment of Midwifery, School of Health and Care Sciences, University of West Attica, Athens, Greece.
Katerina LykeridoyDepartment of Midwifery, School of Health and Care Sciences, University of West Attica, Athens, Greece.
Birthingway College of Midwifery · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWorldwide there is an alarming increase in the caesarean delivery rate which has become a controversial topic. However, the reasons for this tendency are not clear. For example, in Greece alone, rates increased by almost 50% from 1983 to 1996. In order to better understand the causes of this phenomenon, we need to examine closely what groups of women undergo caesarean section (CS). To achieve this, it is essential to use a system that will enable us to monitor and compare caesarean delivery rates. Such a classification system should be easily adopted by obstetricians, midwives, and public health services.

methodsA review search of electronic databases concerning medical care was held from December 2020 to January 2021 in order to find systematic reviews which describe either theoretical or practical CS classification systems.

resultsThe most common classification systems fall into three main categories based on indication, urgency and maternal-based characteristics. According to users the highest rated classification system was women-based classifications in general. In particular the Robson Ten Group Classification System was considered to be the most valid to meet current local and international standards. The Robson classification system is praised for its robustness, simplicity, flexibility, and reproducibility.

conclusionsThe right implementation of the Robson Ten Group Classification System can facilitate an in-depth analysis of the main groups that increase CS rates and can be used to both review and monitor delivery practices both in Greece and abroad.

Indexed as

assessment toolcaesarean sectionclassificationempowermentexploratory factor analysismidwiferyoptimal rate of caesarean sectionpsychometric propertiestaxonomy

Identifiers

PMID35801228
PMCPMC9201784
OpenAlexW4282961919

What OpenQuestion holds

Textmetadata
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.