Evidence map›Paper›PMID 37383930›Full record

ArticleThe Lancet regional health. Southeast Asia2022

A systematic review and meta-analysis of active case finding for tuberculosis in India.

Tushar Garg, Lelia H Chaisson, Fahd Naufal, Adrienne E Shapiro, Jonathan E Golub

Open access · diamondAbstract read
In one paragraph

Article in The Lancet regional health. Southeast Asia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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  10. One Half of the Pair: Prioritizing Tuberculosis Transmitters for Early Detection.American journal of respiratory and critical care medicine · 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

5 authors at 3 institutions in 1 country.

Tushar GargDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Lelia H ChaissonDivision of Infectious Diseases, Department of Medicine, University of Illinois at Chicago, Chicago, IL, United States.
Fahd NaufalWilmer Eye Institute, Johns Hopkins Medicine, Baltimore, MD, United States.
Adrienne E ShapiroDepartment of Global Health and Department of Medicine, University of Washington, Seattle, WA, United States.
Jonathan E GolubDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Johns Hopkins University · USUniversity of Illinois Chicago · USUniversity of Washington · US

Funding

Novel clinic-based TB diagnostics and testing algorithms for persons with HIVK23AI140918 · NIAID · UNIVERSITY OF WASHINGTON · PI SHAPIRO, ADRIENNE E · 2019 to 2024
$937k
NIAID NIH HHS K23 AI140918
6 · The paper itself

Abstract

Background: Active case finding (ACF) for tuberculosis (TB) is the cornerstone case-finding strategy in India's national TB policy. However, ACF strategies are highly diverse and pose implementation challenges in routine programming. We reviewed the literature to characterise ACF in India; assess the yield of ACF for different risk groups, screening locations, and screening criteria; and estimate losses to follow-up (LTFU) in screening and diagnosis. Methods: We searched PubMed, EMBASE, Scopus, and the Cochrane library to identify studies with ACF for TB in India from November 2010 to December 2020. We calculated 1) weighted mean number needed to screen (NNS) stratified by risk group, screening location, and screening strategy; and 2) the proportion of screening and pre-diagnostic LTFU. We assessed risk of bias using the AXIS tool for cross-sectional studies. Findings: Of 27,416 abstracts screened, we included 45 studies conducted in India. Most studies were from southern and western India and aimed to diagnose pulmonary TB at the primary health level in the public sector after screening. There was considerable heterogeneity in risk groups screened and ACF methodology across studies. Of the 17 risk groups identified, the lowest weighted mean NNS was seen in people with HIV (21, range 3-89, Interpretation: For ACF to be impactful in India, its design must be based on contextual understanding. The narrow evidence base available currently is insufficient for effectively targeting ACF programming in a large and diverse country. Achieving case-finding targets in India requires evidence-based ACF implementation. Funding: WHO Global TB Programme.

Indexed as

ACFActive case findingIndiaNumber needed to screenScreeningTuberculosis

Identifiers

PMID37383930
PMCPMC10305973
OpenAlexW4296167844

What Socratic 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 Socratic graph.