Evidence map›Paper›PMID 35450860›Full record

ReviewBMJ global health2022

Alarming level of severe acute malnutrition in Indian districts.

Sabu Kochupurackal Ulahannan, Alby Wilson, Deepshikha Chhetri, Biju Soman, N S Prashanth

Open access · goldAbstract readReview
In one paragraph

Review in BMJ global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Machine Learning in Predicting Child Malnutrition: A Meta-Analysis of Demographic and Health Surveys Data.International journal of environmental research and public health · 2025
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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

5 authors at 3 institutions in 1 country.

Sabu Kochupurackal UlahannanAchutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India sabu@iphindia.org.ORCID 0000-0002-7649-4401
Alby WilsonHealth Equity Cluster, Institute of Public Health, Bangalore, India.ORCID 0000-0001-5624-2365
Deepshikha ChhetriConsultant, Headquarter, Department of Women and Child Development, Government of Haryana, India, Chandigarh, Haryana, India.
Biju SomanAchutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India.
N S PrashanthHealth Equity Cluster, Institute of Public Health, Bangalore, India.ORCID 0000-0003-0968-0826
Institute of Public Health Bengaluru · INSree Chitra Thirunal Institute for Medical Sciences and Technology · INGovernment of Haryana · IN

Funding

DBT-Wellcome Trust India Alliance IA/CPHI/16/1/502648DBT-Wellcome Trust India Alliance IA/CRC/20/1/600007
6 · The paper itself

Abstract

Over the last two decades, severe acute malnutrition (SAM) has been increasing in India despite favourable national-level economic growth. The latest round of the National Family Health Survey 5 (NFHS-5) results was released, allowing us to assess changes in the malnutrition trends. Analysis of the previous rounds of the NFHS (NFHS-4) has already shown disturbing levels of wasting, often co-occurring with other forms of anthropometric failures. These have been shown to occur in clusters of districts across India that already needed urgent policy and programmatic action. A rapid assessment of data from NFHS-5 for some of these districts for which data are now available shows an alarming increase in SAM in several malnutrition hotspot districts. Surprisingly, some districts outside hotspots and in states and regions that have previously not been known for high malnutrition too have shown increasing SAM prevalence in the latest round. The data from NFHS-5 was collected just before the COVID-19 pandemic and hence does not yet reflect the likely impact of the pandemic on food security, livelihoods and other social stressors among the most marginalised Indian households. Based on this emerging pattern of increasing SAM, we call for an urgent policy and programmatic action to strengthen the Anganwadi system, which caters to preschool children in India and community-based management of acute malnutrition based on recent evidence on their effectiveness.

Indexed as

Child Nutrition DisordersCOVID-19MalnutritionSevere Acute MalnutritionChild, PreschoolHumansPandemicsChild healthNutritionNutritional and metabolic disorders

Identifiers

PMID35450860
PMCPMC9024259
OpenAlexW4224222718

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.