Evidence map›Paper›PMID 42639582›Full record

ArticlePublic health action2026

Operational research leading to state-level policy change in tuberculosis undernutrition in Chhattisgarh, India.

C Malik, V Gupta, K Shringarpure, H A Gupte, V R Keshri, M Damani, N N Shah, K Sonwani, P Nanda, A Sharma and 2 more

Abstract read
In one paragraph

Article in Public health action, 2026. 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
–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.

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.

  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

12 authors.

C MalikSangwari-People's Association for Equity and Health, Surguja, Chhattisgarh, India.
V GuptaState Health Resource Centre, Raipur, Chhattisgarh, India.
K ShringarpureDepartment of Community Medicine, Medical College Baroda, Vadodara, Gujarat, India.
H A GupteNarotam Sekhsaria Foundation, Mumbai, Maharashtra, India.
V R KeshriJindal School of Public Health and Human Development, O. P. Jindal Global University, Sonipat, India.
M DamaniDepartment of Health and Family Welfare, National Tuberculosis Elimination Programme (NTEP), National Health Mission, Raipur, Chhattisgarh, India.
N N ShahDepartment of Health and Family Welfare, National Tuberculosis Elimination Programme (NTEP), National Health Mission, Raipur, Chhattisgarh, India.
K SonwaniDirectorate of Health Services, Department of Health, Raipur, India.
P NandaState Health Resource Centre, Raipur, Chhattisgarh, India.
A SharmaOffice of the Chief Medical and Health Officer (CMHO), Khairagarh-Chhuikhadan-Gandai, Department of Health and Family Welfare, Government of Chhattisgarh, Chhattisgarh, India.
S K MattooCentral TB Division, Ministry of Health and Family Welfare, Government of India, New Delhi, India.
H D ShewadeDivision of Health Systems Research, ICMR National Institute of Epidemiology (ICMR-NIE), Chennai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In India, undernutrition is a key driver of the tuberculosis (TB) epidemic. The high burden of severe and very severe undernutrition leads to higher death rates among those with TB. Despite documentation of weight and height, body mass index calculations to prioritise nutrition support for those with severe and very severe undernutrition are lacking in India's National Tuberculosis Elimination Programme. This state-level operational research in Chhattisgarh led to a change in state-level policy in this regard. The learnings from this operational research-guided policy change have lessons for other states in India.

Indexed as

BMIfood basketmalnutritionM-PHISORnutritiontuberculosis

Identifiers

PMID42639582
PMCPMC13502712

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.