Evidence map›Paper›PMID 37521318›Full record

ArticleThe Lancet regional health. Southeast Asia2023

Adverse birth outcomes among women with 'low-risk' pregnancies in India: findings from the Fifth National Family Health Survey, 2019-21.

Ajay Tandon, Sanam Roder-DeWan, Mickey Chopra, Sheena Chhabra, Kevin Croke, Marion Cros, Rifat Hasan, Guru Rajesh Jammy, Navneet Manchanda, Amith Nagaraj and 5 more

Open access · diamondAbstract read
In one paragraph

Article in The Lancet regional health. Southeast Asia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
9.9field-weighted citation impact, top 2% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  13. Turning the tide with better data to address stillbirths in India.The Lancet regional health. Southeast Asia · 2025
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  14. Article
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  16. Prerequisite for reproducible science: a call to embrace code sharing.The Lancet regional health. Southeast Asia · 2024
    Article
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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

15 authors at 2 institutions in 1 country.

Ajay TandonGlobal Program for Health, Nutrition and Population, World Bank, Washington, DC 20433, USA.
Sanam Roder-DeWanGlobal Program for Health, Nutrition and Population, World Bank, Washington, DC 20433, USA.
Mickey ChopraGlobal Program for Health, Nutrition and Population, World Bank, Washington, DC 20433, USA.
Sheena ChhabraGlobal Program for Health, Nutrition and Population, World Bank, Washington, DC 20433, USA.
Kevin CrokeHarvard TH Chan School of Public Health, Harvard University, Boston, MA 02115, USA.
Marion CrosGlobal Program for Health, Nutrition and Population, World Bank, Washington, DC 20433, USA.
Rifat HasanGlobal Program for Health, Nutrition and Population, World Bank, Washington, DC 20433, USA.
Guru Rajesh JammyGlobal Program for Health, Nutrition and Population, World Bank, Washington, DC 20433, USA.
Navneet ManchandaGlobal Program for Health, Nutrition and Population, World Bank, Washington, DC 20433, USA.
Amith NagarajGlobal Program for Health, Nutrition and Population, World Bank, Washington, DC 20433, USA.
Rahul PandeyGlobal Program for Health, Nutrition and Population, World Bank, Washington, DC 20433, USA.
Elina PradhanGlobal Program for Health, Nutrition and Population, World Bank, Washington, DC 20433, USA.
Andrew Sunil RajkumarGlobal Program for Health, Nutrition and Population, World Bank, Washington, DC 20433, USA.
Michael A PetersGlobal Program for Health, Nutrition and Population, World Bank, Washington, DC 20433, USA.
Margaret E KrukHarvard TH Chan School of Public Health, Harvard University, Boston, MA 02115, USA.
World Bank · USHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite substantial progress in improving maternal and newborn health, India continues to experience high rates of newborn mortality and stillbirths. One reason may be that many births happen in health facilities that lack advanced services-such as Caesarean section, blood transfusion, or newborn intensive care. Stratification based on pregnancy risk factors is used to guide 'high-risk' women to advanced facilities. To assess the utility of risk stratification for guiding the choice of facility, we estimated the frequency of adverse newborn outcomes among women classified as 'low risk' in India. Methods: We used the 2019-21 Fifth National Family Health Survey (NFHS-5)-India's Demographic and Health Survey-which includes modules administered to women aged 15-49 years. In addition to pregnancy history and outcomes, the survey collected a range of risk factors, including biomarkers. We used national obstetric risk guidelines to classify women as 'high risk' versus 'low risk' and assessed the frequency of stillbirths, newborn deaths, and unplanned Caesarean sections for the respondent's last pregnancy lasting 7 or more months in the past five years. We calculated the proportion of deliveries occurring at non-hospital facilities in all the Indian states. Findings: Using data from nearly 176,699 recent pregnancies, we found that 46.6% of India's newborn deaths and 56.3% of stillbirths were among women who were 'low risk' according to national guidelines. Women classified as 'low risk' had a Caesarean section rate of 8.4% (95% CI 8.1-8.7%), marginally lower than the national average of 10.0% (95% CI 9.8-10.3%). In India as a whole, 32.0% (95% CI 31.5-32.5%) of deliveries occurred in facilities that were likely to lack advanced services. There was substantial variation across the country, with less than 5% non-hospital public facility deliveries in Punjab, Kerala, and Delhi compared to more than 40% in Odisha, Madhya Pradesh, and Rajasthan. Newborn mortality tended to be lower in states with highest hospital delivery rates. Interpretation: Individual risk stratification based on factors identified in pregnancy fails to accurately predict which women will have delivery complications and experience stillbirth and newborn death in India. Thus a determination of 'low risk' should not be used to guide women to health facilities lacking key life saving services, including Caesarean section, blood transfusion, and advanced newborn resuscitation and care. Funding: Bill and Melinda Gates Foundation and the World Bank. The findings, interpretations and conclusions expressed in the paper are entirely those of the authors, and do not represent the views of the Gates Foundation or of the World Bank, its Executive Directors, or the countries they represent.

Indexed as

Health systemHealth system qualityIndiaNewborn mortalityPregnancy riskRisk stratification

Identifiers

PMID37521318
PMCPMC10382663
OpenAlexW4385163513

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.