Evidence map›Paper›PMID 41847577›Full record

ArticlePublic health action2026

Does active case finding detect TB early in programme settings? A national-level study in India.

H D Shewade, S Kiran Pradeep, P Ravichandran, G Kiruthika, A N Shah, B Vadera, V Roddawar, S K Mattoo, S Iyer, D Tumu and 37 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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

47 authors.

H D ShewadeICMR National Institute of Epidemiology (ICMR-NIE), Chennai, India.
S Kiran PradeepICMR National Institute of Epidemiology (ICMR-NIE), Chennai, India.
P RavichandranICMR National Institute of Epidemiology (ICMR-NIE), Chennai, India.
G KiruthikaICMR National Institute of Epidemiology (ICMR-NIE), Chennai, India.
A N ShahUSAID India, New Delhi, India.
B VaderaUSAID India, New Delhi, India.
V RoddawarJohn Snow India Private Limited, New Delhi, India.
S K MattooCentral TB Division, Ministry of Health and Family Welfare, New Delhi, India.
S IyerOffice of the World Health Organization Representative to India, New Delhi, India.
D TumuOffice of the World Health Organization Representative to India, New Delhi, India.
A ChowdhuryOffice of the World Health Organization Representative to India, New Delhi, India.
S DevikaICMR National Institute of Epidemiology (ICMR-NIE), Chennai, India.
J ChadwickICMR National Institute of Epidemiology (ICMR-NIE), Chennai, India.
R R VaidyaState TB Cell, Government of Gujarat, Ahmedabad, India.
P SinghState TB Cell, Government of Uttarakhand, Dehradun, India.
S K PandaOffice of the World Health Organization Representative to India, New Delhi, India.
M A BaigOffice of the World Health Organization Representative to India, New Delhi, India.
K V SumaOffice of the World Health Organization Representative to India, New Delhi, India.
M SulekaICMR National Institute of Epidemiology (ICMR-NIE), Chennai, India.
A K DigalICMR National Institute of Epidemiology (ICMR-NIE), Chennai, India.
D BanerjeeICMR National Institute of Epidemiology (ICMR-NIE), Chennai, India.
M L PrasannaICMR National Institute of Epidemiology (ICMR-NIE), Chennai, India.
D Y WaghelaICMR National Institute of Epidemiology (ICMR-NIE), Chennai, India.
A KrishnarajICMR National Institute of Epidemiology (ICMR-NIE), Chennai, India.
P KashyapICMR National Institute of Epidemiology (ICMR-NIE), Chennai, India.
J S ParmarICMR National Institute of Epidemiology (ICMR-NIE), Chennai, India.
C K MishraICMR National Institute of Epidemiology (ICMR-NIE), Chennai, India.
S DasICMR National Institute of Epidemiology (ICMR-NIE), Chennai, India.
A KumarICMR National Institute of Epidemiology (ICMR-NIE), Chennai, India.
A KumarICMR National Institute of Epidemiology (ICMR-NIE), Chennai, India.
S YadavICMR National Institute of Epidemiology (ICMR-NIE), Chennai, India.
S ChetryICMR National Institute of Epidemiology (ICMR-NIE), Chennai, India.
A KumarICMR National Institute of Epidemiology (ICMR-NIE), Chennai, India.
M PathakICMR National Institute of Epidemiology (ICMR-NIE), Chennai, India.
S SinghICMR National Institute of Epidemiology (ICMR-NIE), Chennai, India.
S TabrezICMR National Institute of Epidemiology (ICMR-NIE), Chennai, India.
P MehraICMR National Institute of Epidemiology (ICMR-NIE), Chennai, India.
S RameshICMR National Institute of Epidemiology (ICMR-NIE), Chennai, India.
B BishnuOffice of the World Health Organization Representative to India, New Delhi, India.
G MaheshOffice of the World Health Organization Representative to India, New Delhi, India.
A RajeshamState TB Cell, Government of Telangana, Hyderabad, India.
B K MishraState TB Cell, Government of Bihar, Patna, India.
U Chandra TripathiOffice of the World Health Organization Representative to India, New Delhi, India.
K U KhayyamNational Institute of Tuberculosis and Respiratory Diseases, Government of India, New Delhi, India.
K RadeOffice of the World Health Organization Representative to India, New Delhi, India.
R RaoCentral TB Division, Ministry of Health and Family Welfare, New Delhi, India.
M V MurhekarICMR National Institute of Epidemiology (ICMR-NIE), Chennai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

settingSince 2017, India's TB programme is implementing active case finding (ACF) in high-risk populations in all districts. Symptom screening followed by confirmatory testing was the ACF algorithm.

objectiveTo determine differences in pre-treatment delays and severe illness at diagnosis between ACF- and passive case finding (PCF)-detected adults with drug-sensitive pulmonary TB in high-risk populations.

designCross-sectional analytical study from 28 randomly sampled districts across India (2023). Post-triaging, severe illness was defined as presence of very severe undernutrition, respiratory insufficiency, or poor performance status.

resultsOf 790 enrolled, 426 were ACF-detected and 364 PCF-detected. ACF-detected adults were significantly older (mean 47.1 year vs 43.9 year), lived farther from diagnosis facilities (median 8 km vs 6 km), had lower formal education exposure (52% vs 37% with no formal education), lower household income (₹20,000 vs ₹24,000 annual per capita), and experienced fewer health care provider visits (median 1 vs 2). Pre-treatment delay from symptom onset to treatment initiation (median 46 days in both groups) and burden of severe illness (39% vs 34%,

conclusionThough ACF linked the vulnerable to care and reduced health care provider visits, this did not translate into early detection. High burden of severe illness at diagnosis is a concern.

Indexed as

community-based systematic screeningearly detectionIndiamarginalised populationstuberculosis

Identifiers

PMID41847577
PMCPMC12991517

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