Evidence map›Paper›PMID 39421504›Full record

ReviewIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine

Prevalence of Tuberculosis Infection among Various Risk Groups in India: A Systematic Review and Meta-Analysis.

Arohi Chauhan, Malik Parmar, Girish Dash, Hardik Solanki, Sandeep Chauhan, Krushna Chandra Sahoo, Bhavin Vadera, Raghuram Rao, Ravinder Kumar, Kiran Rade and 1 more

Abstract readReview
In one paragraph

Review in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

11 authors.

Arohi ChauhanResearch Scientist, Public Health Foundation of India, New Delhi, India.
Malik ParmarNational Professional Officer, Drug Resistant and Latent TB, WHO India, New Delhi, India.
Girish DashHealth Technology Assessment Hub, Indian Council of Medical Research-Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Hardik SolankiNational Consultant-Latent TB, Central TB Division, WHO NTEP Technical Support Network, New Delhi, India.
Sandeep ChauhanNational Consultant-Drug Resistant TB, Central TB Division, WHO NTEP Technical Support Network, New Delhi, India.
Krushna Chandra SahooConsultant (Public Health Specialist), Indian Council of Medical Research-Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Bhavin VaderaProject Management Specialist, USAIDs, New Delhi, India.
Raghuram RaoCentral TB Division, Ministry of Health and Family Welfare, Government of India, New Delhi, India.
Ravinder KumarCentral TB Division, Ministry of Health and Family Welfare, Government of India, New Delhi, India.
Kiran RadeInternational Technical Consultant, STOP TB Partnership, Geneva, Switzerland.
Sanghamitra PatiIndian Council of Medical Research-Regional Medical Research Centre, Bhubaneswar, Odisha, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Treatment of tuberculosis (TB) infection (TBI) to prevent active TB disease is a key component of the National Strategic Plan to end TB in India, without which the strategies to end TB would be futile. There is a need to rapidly scale up access to effective shorter regimens for tuberculosis preventive treatment (TPT) to a wider set of risk groups. This applies for identifying high-risk groups for TPT expansion. Thus, our aim with this review is to determine the TBI prevalence in different risk groups in India. We searched databases like Embase, Medline, Scopus, and CINAHL for studies published between 2012 and 2023 to estimate TBI in different risk groups in India. The PRISMA guidelines were followed when reviewing the publications, and a predetermined search strategy was used to find relevant sources across various databases. Using MetaXL (MS excel) software, we pooled data based on a random-effects model, along with heterogeneity testing using Cochrane's Q and I

Indexed as

Burdenmeta-analysisrisk groupssystematic reviewtuberculosis infection

Identifiers

PMID39421504
PMCPMC11482387

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.