Evidence map›Paper›PMID 37840109›Full record

ArticleMaternal and child health journal2024

An Analysis of the Mode of Delivery, Risk Factors, and Subgroups with High Caesarean Birth Rates Using Robson Classification System.

Gulifeiya Abuduxike, Sanda Cali, Songül Acar Vaizoğlu, Özen Aşut, Mahmut Çavuş, Musa Olgu, Simay Naime Çavuş, Meryem Arkut, Blessing Oluwaseun Idehen, Heyam Abdalla Saleh Almezghwi and 4 more

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In one paragraph

Article in Maternal and child health journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

14 authors at 5 institutions in 3 countries.

Gulifeiya AbuduxikeDepartment of Public Health, Faculty of Medicine, Near East University, Near East Boulevard, 99138, Nicosia, Northern Cyprus. gulpiya1@gmail.com.ORCID http://orcid.org/0000-0002-9798-7459
Sanda CaliDepartment of Public Health, Faculty of Medicine, Near East University, Near East Boulevard, 99138, Nicosia, Northern Cyprus.
Songül Acar VaizoğluDepartment of Public Health, Faculty of Medicine, Near East University, Near East Boulevard, 99138, Nicosia, Northern Cyprus.
Özen AşutDepartment of Public Health, Faculty of Medicine, Near East University, Near East Boulevard, 99138, Nicosia, Northern Cyprus.
Mahmut ÇavuşDr. Burhan Nalbantoğlu State Hospital Obstetrics and Gynaecology Department, Nicosia, Northern Cyprus.
Musa OlguDr. Burhan Nalbantoğlu State Hospital Obstetrics and Gynaecology Department, Nicosia, Northern Cyprus.
Simay Naime Çavuş, Gazimağusa, Turkish Republic of Northern Cyprus.
Meryem Arkut, Nicosia, Turkish Republic of Northern Cyprus.
Blessing Oluwaseun Idehen, Nicosia, Turkish Republic of Northern Cyprus.
Heyam Abdalla Saleh Almezghwi, Tripoli, Libya.
Hana Muftah Ali Asswayeh, Tripoli, Libya.
Janet James Abawu, Nicosia, Turkish Republic of Northern Cyprus.
Mohammad Jayed Hossain, Nicosia, Turkish Republic of Northern Cyprus.
Nusaiba AbdulMunaem AlmawaliSultan Qaboos University Hospital, Muscat, Sultanate of Oman.
American Heart Institute · CYNear East University · CYNicosia General Hospital · CYGazi University · TRSultan Qaboos University Hospital · OM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe aimed to understand the utilization of the mode of delivery and related risk factors. Further aimed to apply the Robson classification system to evaluate the data quality and analyze the CS rates in subgroups.

methodsWe conducted a retrospective descriptive study by reviewing the medical records of all women who delivered at the State Hospital in 2019. A proforma was developed for extracting data from patient records. All women with six obstetric parameters were categorized into Robson groups to determine the absolute and relative contributions of each group to the overall CS rate.

resultsOf 797 deliveries, 401 (50.2%) were CSs. Being older, being Turkish Cypriot, having preterm births, previous CS, multiple fetuses, and having breech or transverse fetal presentations were related to having higher risks of CS. The most common medical indication for CSs (52.3%) was a history of previous CSs. Robson Group 5 contributed the most (50.7%) to the overall CS rate, with the highest absolute contribution of 21.8%. Group 10 and Group 8 were the second and third highest contributors to the overall CS rate, with relative contributions of 25.3% and 9.0%, respectively.

conclusionsFindings revealed the substandard quality of obstetric data and a noticeably high overall CS rate. The top priority should be given to improving the quality of medical records. It underscored the necessity of implementing the Robson classification system as a standard clinical practice to enhance data quality, which helps to effectively evaluate and monitor the CS rates in obstetric populations.

Indexed as

Cesarean SectionPremature BirthBirth RateFemaleHumansInfant, NewbornPregnancyRetrospective StudiesRisk FactorsCaesarean sectionData qualityNorthern CyprusRisk factorsRobson classification

Identifiers

PMID37840109
OpenAlexW4387653905

What OpenQuestion holds

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Registered trials

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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.