Evidence map›Paper›PMID 31703638›Full record

ArticleBMC pregnancy and childbirth2019

Medical and non-medical reasons for cesarean section delivery in Egypt: a hospital-based retrospective study.

Shatha Elnakib, Nahla Abdel-Tawab, Doaa Orbay, Nevine Hassanein

3 registry-linked trialsAbstract readMulticenter Study
In one paragraph

Article in BMC pregnancy and childbirth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
–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.

NCT04241107 naunknown statusnot on this mapstarted 2020, after this paper: background citation

Laparoscopic Versus Transvaginal Approaches in Repair of Uterine Niche: A Randomized Controlled Trial

TypeinterventionalSponsorAssiut UniversityRan2020 to 2022Enrolled50ConditionsUterine NicheArmsLaparoscopic repair of Uterine niche, Transvaginal repair of Uterine niche
NCT06160583 completednot on this mapstarted 2023, after this paper: background citation

General Anesthesia in Obstetric Patients for Cesarean Section, Maternal and Perinatal Outcomes

Typeobservational_patient_registrySponsorHospital Civil de GuadalajaraRan2023 to 2024Enrolled5,000ConditionsAnesthesia, Perinatal Morbidity, Maternal-Fetal Relations
NCT07194876 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

A Survey Study Using the Ten-Group Robson Classification System to Evaluate Cesarean Section Rates and Maternal-Neonatal Outcomes in Assiut University Hospital and Assiut General Hospital

TypeobservationalSponsorAssiut UniversityRan2025 to 2027Enrolled770ConditionsCesarean Section, Maternal HealthArmsNo Intervention (subjects were previously treated with Onglyza®)
3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  17. Caesarean section and respiratory system disorders in newborns.European journal of obstetrics & gynecology and reproductive biology: X · 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

4 authors.

Shatha ElnakibDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA. Selnaki1@jhu.edu.ORCID http://orcid.org/0000-0003-2316-4211
Nahla Abdel-TawabPopulation Council, Cairo, Egypt.
Doaa OrbayPopulation Council, Cairo, Egypt.
Nevine HassaneinIndependent Consultant, Reproductive Health Consultant, Cairo, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCaesarean section (CS) is an important lifesaving intervention that can reduce maternal and newborn morbidity and mortality. The dramatic increase in CS rates globally has prompted concerns that the procedure may be overused or used for inappropriate indications. In Egypt, CS rates are alarmingly high, accounting for 52% of all deliveries. This study sought to (1) explore indications and risk factors for CS in public hospitals in four governorates in Egypt and (2) examine health care provider factors impacting the decision to perform a CS.

methodsWe reviewed medical records for all deliveries that took place during April 2016 in 13 public hospitals situated in four governorates in Egypt (Cairo, Alexandria, Assiut and Behera), and extracted information pertaining to medical indications and women's obstetric characteristics. We also interviewed obstetricians in the study hospitals to explore factors associated with the decision to perform CS.

resultsA total of 4357 deliveries took place in the study hospitals during that period. The most common medical indications were previous CS (50%), an "other" category (13%), and fetal distress (9%). Multilevel analysis revealed that several obstetric risk factors were associated with increased odds of CS mode of delivery - including previous CS, older maternal age, and nulliparity - while factors such as partograph completion and oxytocin use were associated with reduced odds of CS. Interviews with obstetricians highlighted non-medical factors implicated in the high CS rates, including a convenience incentive, lack of supervision and training in public hospitals, as well as absence of or lack of familiarity with clinical guidelines.

conclusionA combination of both medical and non-medical factors drives the increase in CS rates. Our analysis however suggests that a substantial number of CS deliveries took place in the absence of strong medical justification. Health care provider factors seem to be powerful factors influencing CS rates in the study hospitals.

Indexed as

AdultCesarean SectionEgyptFemaleFetal DistressHospitals, PublicHumansIncidenceInfantInfant MortalityInfant, NewbornMaternal MortalityObstetric Labor ComplicationsPregnancyRetrospective StudiesRisk FactorsCaesarean sectionEgyptIndicationsMaternal healthReproductive health

Identifiers

PMID31703638
PMCPMC6842224

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.