Evidence map›Paper›PMID 36350563›Full record

ArticleInternational journal of epidemiology2023

Prediabetes and risk of active tuberculosis: a cohort study from Northern Taiwan.

Tsun-Hao Ko, Yi-Cheng Chang, Chia-Hsuin Chang, Karen Chia-Wen Liao, Matthew J Magee, Hsien-Ho Lin

Abstract read
In one paragraph

Article in International journal of epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 48% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Diabetes as a risk factor for tuberculosis disease.The Cochrane database of systematic reviews · 2024
    Pooled it
  2. Article
  3. 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

6 authors at 3 institutions in 2 countries.

Tsun-Hao KoInstitute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.
Yi-Cheng ChangDepartment of Internal Medicine, National Taiwan University, Taipei, Taiwan.ORCID 0000-0002-8077-5011
Chia-Hsuin ChangInstitute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.
Karen Chia-Wen LiaoBiological Sciences Division, University of Chicago, Chicago, IL, USA.
Matthew J MageeDepartments of Global Health and Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA.
Hsien-Ho LinInstitute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.
National Taiwan University · TWEmory University · USUniversity of Chicago · US

Funding

Emory/Georgia TB Research Advancement Center (TRAC)P30AI168386 · NIAID · EMORY UNIVERSITY · PI Jeffrey M Collins · 2022 to 2026
$5.8M
Immunometabolic impact of stress hyperglycemia on tuberculosis treatment outcomes and risk of diabetes mellitusR01AI153152 · NIAID · EMORY UNIVERSITY · PI MAGEE, MATTHEW JAMES · 2021 to 2025
$3.7M
The Role of Tuberculosis Disease on Non-Communicable Disease Risk: Comparative Analysis of Large Healthcare DatabasesR21AI156161 · NIAID · EMORY UNIVERSITY · PI CRITCHLEY, JULIA ALISON, MAGEE, MATTHEW JAMES · 2021 to 2022
$372k
NIAID NIH HHS P30 AI168386NIAID NIH HHS R01 AI153152NIAID NIH HHS R21 AI156161
6 · The paper itself

Abstract

backgroundDiabetes mellitus (DM) is a well-established risk factor for active tuberculosis (TB) infection. Despite the worldwide rapid increase in the prevalence of prediabetes, its impact on the risk of active TB remains largely unknown. This study aimed to investigate the relationship between prediabetes and risk of active TB in a large cohort study.

methodsA total of 119 352 participants were screened from a community-based health screening programme in Northern Taiwan. Diabetes mellitus and prediabetes were defined by baseline fasting plasma glucose (FPG) and prescription of anti-diabetic drugs. Incident cases of active TB were identified from the National Tuberculosis Registry. Kaplan-Meier curves and Cox regression analysis were employed to estimate the hazard ratios for prediabetes and DM compared with normoglycaemia. Spline regression was performed to investigate the dose-response relationship between FPG level and risk of TB disease.

resultsAt baseline, 27 404 (22.96%) participants had prediabetes and 10 943 (9.17%) participants had DM. After an average follow-up of 7.2 years, 322 TB cases occurred. The adjusted hazard ratio of developing active TB disease was 0.73 [95% confidence interval (CI) 0.55-0.97] for prediabetic and 1.48 (95% CI 1.11-1.98) for diabetic participants compared with normoglycaemic individuals. Spline regression revealed a U-shaped association between FPG level and risk of active TB disease, with the lowest risk at FPG around110 mg/dl. Sensitivity analyses were conducted to exclude factors such as potential confounders (including body mass index), misclassification of glycaemic level, and selection bias, and results showed that those factors could not explain the lower risk of active TB.

conclusionsPrediabetes was associated with a 27% reduced risk of active TB disease compared with normoglycaemia. The biological mechanism of this inverse association and its implication for global nutrition transition and TB control should be further investigated.

Indexed as

Diabetes MellitusPrediabetic StateTuberculosisBlood GlucoseCohort StudiesHumansRisk FactorsTaiwanBlood GlucoseBody mass index (BMI)diabetes mellitus (DM)fasting plasma glucose (FPG)tuberculosis (TB)

Identifiers

PMID36350563
PMCPMC13245113
OpenAlexW4308634054

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.