Evidence map›Paper›PMID 40895246›Full record

ArticleHealth science reports2025

Unraveling the Drivers of Tuberculosis: A Retrospective Panel Data Study Across 70 Developing Countries.

Md Sazzad Hossain Mithu, Sodip Banik, Md Abir, Sk Shadi Joy, Md Jamal Uddin

Abstract read
In one paragraph

Article in Health science reports, 2025. 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
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Md Sazzad Hossain MithuDepartment of Statistics Shahjalal University of Science & Technology Sylhet Bangladesh.
Sodip BanikDepartment of Statistics Shahjalal University of Science & Technology Sylhet Bangladesh.
Md AbirDepartment of Statistics Shahjalal University of Science & Technology Sylhet Bangladesh.
Sk Shadi JoyDepartment of Statistics Shahjalal University of Science & Technology Sylhet Bangladesh.
Md Jamal UddinDepartment of Statistics Shahjalal University of Science & Technology Sylhet Bangladesh.ORCID https://orcid.org/0000-0002-8360-3274

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Tuberculosis (TB) remains a major global cause of death, particularly in developing countries. This study aims to identify key risk factors contributing to high TB incidence in these nations, analyze regional variations, and assess how risk factors differ across continents. Methods: We conducted a retrospective analysis using data from 70 developing countries spanning 2000 to 2020, sourced from the World Bank Open Data. Variables included TB incidence, HIV prevalence, smoking rates, literacy rates, undernourishment, and population density. A random-effects model was employed to examine the associations between these factors and TB incidence. Results: HIV prevalence (coefficient = 37.53, 95% CI: 34.28-40.79), smoking (3.51, 2.99-4.02), undernourishment (1.56, 1.02-2.10), and population density (0.16, 0.07-0.24) showed significant positive associations with TB incidence. Literacy rate was negatively associated with TB incidence (-0.11, -0.54 to 0.33), though not significantly. These findings highlight the strong influence of socio-demographic and health-related factors on TB burden. Conclusion: TB continues to pose a serious health challenge in developing countries. HIV control, reduction of undernourishment and smoking, and managing population density are critical to reducing TB incidence. Regional differences underscore the need for tailored prevention strategies.

Indexed as

developing countriesglobal healthrandom‐effects modelrisk factorstuberculosis

Identifiers

PMID40895246
PMCPMC12391018

What OpenQuestion holds

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LicenceCC BY
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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.