Evidence map›Paper›PMID 40922029›Full record

SynthesisInternational journal of epidemiology2025

Body mass index and tuberculosis risk: an updated systematic literature review and dose-response meta-analysis.

Matthew J Saunders, J Peter Cegielski, Rebecca A Clark, Rein M G J Houben, C Finn McQuaid

Erratum issuedAbstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in International journal of epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Body Mass Index and Incident Tuberculosis in Close Tuberculosis Contacts.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Observational
  7. Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Matthew J SaundersInstitute for Infection and Immunity, City St George's, University of London, London, United Kingdom.ORCID 0000-0003-3033-2367
J Peter CegielskiDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, United States.
Rebecca A ClarkDepartment of Infectious Disease Epidemiology and Dynamics, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Rein M G J HoubenDepartment of Infectious Disease Epidemiology and Dynamics, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0003-4132-7467
C Finn McQuaidDepartment of Infectious Disease Epidemiology and Dynamics, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0001-6199-0931

Funding

Emory/Georgia TB Research Advancement Center (TRAC)P30AI168386 · NIAID · EMORY UNIVERSITY · PI Jeffrey M Collins · 2022 to 2026
$5.8M
Mentorship in Patient-Oriented Research in Tuberculosis, HIV and Global HealthK24AI114444 · NIAID · EMORY UNIVERSITY · PI GANDHI, NEEL RAJNIKANT · 2014 to 2023
$1.8M
Gates Foundation INV-001754Gates Foundation INV-059518Gates Foundation TB MAC OPP1135288National Institute for Health and Care Research UK through a Clinical LectureshipNIAID NIH HHS K24 AI114444NIAID NIH HHS P30 AI168386NIH HHS
6 · The paper itself

Abstract

backgroundThe relationship between nutritional status and tuberculosis is critically important but poorly understood. We extended a 2009 review characterizing the relationship between body mass index (BMI) and tuberculosis risk.

methodsWe systematically searched for new studies published between 2009 and 2024 investigating BMI and tuberculosis risk in adults. We extracted estimates of risk in BMI categories, used resampling to assign a median BMI 'dose' within each category, and included these in one-stage dose-response meta-analyses, stratifying results by population group and country tuberculosis burden. We fitted linear models for comparability with the 2009 review and restricted cubic spline models to investigate nonlinear relationships and piecewise linear models.

resultsOur analyses showed an inverse dose-response relationship between BMI and tuberculosis risk across all populations in the full underweight to obese range (15.0-35.0 kg/m2). The spline and piecewise linear models showed a nonlinear relationship-in 22 general-population cohorts (n = 24 921 531), there was a steep per-unit reduction in risk for BMI of <25.0 kg/m2 [18.0%, 95% confidence interval (CI): 16.4-19.6], which decreased more gradually for BMI of ≥25.0 kg/m2 (6.9%, 95% CI: 4.6-9.2). In 18 cohorts of people with HIV (n = 162 609), the reduction was 15.3% for BMI of <23.0 kg/m2 (95% CI: 13.1-17.5) and 2.6% (95% CI: -3.1-7.9) for BMI of ≥23.0 kg/m2. In three cohorts of people with diabetes (n = 1 118 424), the reduction was 20.5% for BMI of <24.0 kg/m2 (95% CI: 18.4-22.6) and 13.4% (95% CI: 3.9-22.0) for BMI of ≥24.0 kg/m2. Based on the global BMI distribution, we estimated a relative risk of tuberculosis associated with undernutrition (BMI < 18.5 kg/m2) of 5.0 (95% CI: 4.2-5.9).

conclusionOur results highlight the independent importance of nutritional status as a driver of the tuberculosis epidemic.

Indexed as

Body Mass IndexObesityTuberculosisAdultHumansNutritional StatusRisk FactorsThinnessbody mass indexdose–response meta-analysissystematic reviewtuberculosisundernourishmentundernutrition

Identifiers

PMID40922029
PMCPMC12417079

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.