Evidence map›Paper›PMID 41180431›Full record

ArticleJournal of obstetrics and gynaecology of India2025

Clinical Profile, Risk Factor Stratification and Outcomes of the Fernandez Birth Cohort from India: A Decade of Experience.

Pallavi Chandra Ravula, Nuzhat Aziz, Tarakeswari Surapaneni, Geeta Kolar, Suseela Vavilala, Evita Fernandez

Abstract read
In one paragraph

Article in Journal of obstetrics and gynaecology of India, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Pallavi Chandra RavulaDepartment of Obstetrics, Fernandez Hospitals, Hyderabad, Telangana 500029 India.
Nuzhat AzizDepartment of Obstetrics, Fernandez Hospitals, Hyderabad, Telangana 500029 India.
Tarakeswari SurapaneniDepartment of Obstetrics, Fernandez Hospitals, Hyderabad, Telangana 500029 India.
Geeta KolarDepartment of Obstetrics, Fernandez Hospitals, Hyderabad, Telangana 500029 India.
Suseela VavilalaDepartment of Obstetrics, Fernandez Hospitals, Hyderabad, Telangana 500029 India.
Evita FernandezDepartment of Obstetrics, Fernandez Hospitals, Hyderabad, Telangana 500029 India.ORCID 0009-0006-7012-0288

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To describe the clinical profile, risk factor stratification and outcomes of 102,683 successive births at a perinatal tertiary referral network in India. Design: Cross-sectional hospital-based study. Setting: Tertiary Perinatal Referral Center Network in India. Sample: 102,683 Births. Methods: This cross-sectional hospital-based study included 102,683 babies birthed by 99,467 women between Jan 2013 and Dec 2023 (11-year period). Women who birthed singletons, twins, triplets or quadruplets were included as cases. The data was collected using an electronic medical record system. Main Outcome Measures: Mode of Birth, Postpartum Haemorrhage, Maternal Deaths, Live Birth Rate, Pre-Term Births, Small for Gestational Age. Results: Overall, 102,683 babies were birthed during the study period. The mean age of the women was 28.3 ± 4.17 years. About half of them (46.6%) were presented during the first trimester. Most of the women had a spontaneous conception (89.14%). One third of the women at presentation were categorized as high risk (34.95%) which increased significantly during pregnancy and birth (75.18%). The most associated co-morbidities were diabetes mellitus (26.4%), thyroid disorders (26.01%) and hypertension (13.27%). The mode of birth included lower segment caesarean Sect. (50%), spontaneous vaginal birth (39.68%) and assisted vaginal birth (9.88%). Post-partum hemorrhage was seen in 7,357 (7.16%) births and atonic (6.16%) was the commonest etiology. The outcomes analyzed were live birth rate (98.86%), pre-term birth rate (16.78%) and small for gestational age (10.84%). Conclusion: High risk pregnancy is a common occurrence in India. It is important to understand the risk factors and monitor the antenatal and postnatal care to ensure good outcomes for the mother and baby.

Indexed as

Big dataBirthsCesarean sectionsElectronic medical recordsIndiaMaternal mortalityMaternal near missNeonatal deathsPostpartum hemorrhageStillbirths

Identifiers

PMID41180431
PMCPMC12579094

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