SynthesisThe Cochrane database of systematic reviews2024
Diabetes as a risk factor for tuberculosis disease.
Synthesis in The Cochrane database of systematic reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 4 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
33 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Lipid profile alterations in pulmonary tuberculosis patients with and without diabetes mellitus: a systematic review and meta-analysis.BMC infectious diseases · 2026Pooled it
- Delayed-Type Hypersensitivity toInternational journal of molecular sciences · 2026Pooled it
- Pooled it
- Diabetes as a risk factor for tuberculosis disease.The Cochrane database of systematic reviews · 2024Pooled it
- Incidence of and Risk Factors for Tuberculosis Among Patients Treated for Hepatitis C: a Population-based Cohort Study.Open forum infectious diseases · 2026Article
- Tuberculosis prevalence among children with severe acute malnutrition: a systematic review and meta-analysis.medRxiv : the preprint server for health sciences · 2026Article
- Advanced statistical approaches in tuberculosis diagnosis and treatment outcomes in Africa: a systematic review.Tropical medicine and health · 2026Review
- Social determinants of abdominal tuberculosis severity: An experience from a large tertiary care center.Pakistan journal of medical sciences · 2026Article
- Dynamic tuberculosis infection pattern: high conversion and reversion among persons with type 2 diabetes in India.Public health action · 2026Article
- The association between the diabetes mellitus duration and the risk of pulmonary tuberculosis in the elderly: evidence from a community-based study in China.Journal of global health · 2026Article
- Clinical epidemiology and risk prediction of unsuccessful treatment outcomes in pulmonary tuberculosis with diabetes mellitus.BMC medicine · 2026Article
- Diabetes screening among people with tuberculosis: a systematic review and meta analysis.EClinicalMedicine · 2026Article
- Gut microbiota characteristics and its biological function analysis in patients with tuberculosis and diabetes mellitus co-morbidity.BMC microbiology · 2026Article
- Implementation fidelity of tuberculosis screening for Diabetes mellitus patients among healthcare providers offering diabetes services in Ubungo District, Dar es Salaam, Tanzania.PLOS global public health · 2026Article
- Peptides in the Diagnosis and Treatment of Pancreatic Cancer and Other Pancreatic Diseases from Basic Research to Clinical Translation.Drug design, development and therapy · 2026Review
- Immunotherapy for tuberculosis: current landscape, mechanistic insights, and translational perspectives.Frontiers in immunology · 2026Review
- Drug Resistance Patterns, Temporal Trends, and Risk Factors Among Elderly Tuberculosis Patients in Anhui, China: A Retrospective Study (2020-2024).Infection and drug resistance · 2026Article
- Association between iron deficiency anemia and the risk of new-onset tuberculosis infection: a matched cohort analysis.Frontiers in nutrition · 2026Article
- Latent TB infection in solid organ transplant recipients in Serbia: A single center experience from a low TB burden country.PloS one · 2026Article
- Age-Stratified Effects of Diabetes Mellitus on Central Nervous System Tuberculosis Risk and Combined Effects with Neutrophil-to-Lymphocyte Ratio.Infection and drug resistance · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
Abstract
backgroundTuberculosis (TB) is amongst the leading causes of death from an infectious disease, with an estimated 1.3 million deaths from TB in 2022. Approximately 25% of the global population is estimated to be infected with the TB bacterium, giving rise to 10.6 million episodes of TB disease in 2022. The prevalence of diabetes influences TB incidence and TB mortality. It is associated not only with an increased risk of TB disease but also death during TB treatment, TB relapse after treatment completion and multidrug-resistant TB. Since 2011, the World Health Organization (WHO) has recommended collaborative TB and diabetes activities as outlined in the Collaborative Framework for Care and Control of TB and Diabetes.
objectivesTo determine the prognostic value of diabetes mellitus (DM) in the general population of adults, adolescents and children for predicting tuberculosis disease. SEARCH
methodsWe searched the literature databases MEDLINE (via PubMed) and WHO Global Index Medicus, and the WHO International Clinical Trials Registry Platform (ICTRP) on 3 May 2023 (date of last search for all databases); we placed no restrictions on the language of publication. SELECTION CRITERIA: We included retrospective and prospective cohort studies, irrespective of publication status or language. The target population comprised adults, adolescents and children from diverse settings, encompassing outpatient and inpatient cohorts, with varying comorbidities and risk of exposure to tuberculosis. DATA COLLECTION AND ANALYSIS: We used standard Cochrane methodology and the Quality In Prognosis Studies (QUIPS) tool. Prognostic factors assessed at enrolment/baseline included diabetes, as defined by the individual studies, encompassing patient-reported status, abstracted from medical records or claims data, or diagnosed by plasma glucose/glycosylated haemoglobin. The primary outcome was the incidence of tuberculosis disease. The secondary outcome was recurrent TB disease. We performed a random-effects meta-analysis for the adjusted hazard ratios, risk ratios, or odds ratios, employing the restricted maximum likelihood estimation. We rated the certainty of the evidence using the GRADE approach. MAIN
resultsWe included 48 cohort studies with over 61 million participants from the six WHO regions. However, the representation was variable as eight population-based studies were from South Korea and 19 from China, with overlapping study periods, and only one from the African region (Ethiopia). All studies included adults, and nine studies also included children and adolescents. Most studies diagnosed DM based on clinical records, including fasting blood glucose levels or glucose-lowering treatments. The studies did not distinguish between type 1 and type 2 DM; only one study focused on type 1 DM. Diagnosis and exclusion of TB were performed using culture or molecular WHO-recommended rapid diagnostic tests (mWRD) in only 12 studies, which could have biassed the effect estimate. The median follow-up time was five years (interquartile range 1.5 to 10, range 1 to 16.9), and the studies primarily reported an adjusted hazard ratio from a multivariable Cox-proportional hazard model. Hazard Ratios (HR) The HR estimates represent the highest certainty of the evidence, explored through sensitivity analyses and excluding studies at high risk of bias. We present 95% confidence intervals (CI) and prediction intervals, which show between-study heterogeneity represented in measuring the variability of effect sizes (i.e. the interval within which the effect size of a new study would fall considering the same population of studies included in the meta-analysis). DM may increase the risk of tuberculosis disease (HR 1.90, 95% CI 1.51 to 2.40; prediction interval 0.83 to 4.39; 10 studies; 11,713,023 participants). The certainty of the evidence is low, due to a moderate risk of bias across studies and inconsistency. Considering a risk without diabetes of 129 cases per 100,000 population, this represents 102 more (59 to 153 more) cases per 100,000. When stratified by follow-up time, the results are more consistent across < 10 years follow-up (HR 1.52, 95% CI 1.47 to 1.57; prediction interval 1.45 to 1.59; 7 studies; 10,380,872 participants). This results in a moderate certainty of the evidence due to a moderate risk of bias across studies. However, at 10 or more years of follow-up, the estimates yield a wider CI and a higher HR (HR 2.44, 95% CI 1.22 to 4.88; prediction interval 0.09 to 69.12; 3 studies; 1,332,151 participants). The certainty of the evidence is low due to the moderate risk of bias and inconsistency. Odds Ratio (OR) DM may increase the odds of tuberculosis disease (OR 1.61, 95% CI 1.27 to 2.04; prediction interval 0.96 to 2.70; 4 studies; 167,564 participants). Stratification by follow-up time was not possible as all studies had a follow-up < 10 years. The certainty of the evidence is low due to a moderate risk of bias and inconsistency. Risk Ratio (RR) The RR estimates represent the highest certainty of the evidence, explored through sensitivity analyses and excluding studies at high risk of bias. DM probably increases the risk of tuberculosis disease (RR 1.60, 95% CI 1.42 to 1.80; prediction interval 1.38 to 1.85; 6 studies; 44,058,675 participants). Stratification by follow-up time was not possible as all studies had a follow-up < 10 years. The certainty of the evidence is moderate due to a moderate risk of bias. AUTHORS'
conclusionsDiabetes probably increases the risk of developing TB disease in the short term (< 10 years) and may also increase the risk in the long term (≥ 10 years). As glycaemic control and access to care may be potential effect modifiers of the association between diabetes and the risk of TB disease, the overall estimates should be interpreted with caution when applied locally. Policies targeted at reducing the burden of diabetes are needed to contribute to the aims of ending TB. Large population-based cohorts, including those derived from high-quality national registries of exposures (diabetes) and outcomes (TB disease), are needed to provide estimates with a high certainty of evidence of this risk across different settings and populations, including low- and middle-income countries from different WHO regions. Moreover, studies including children and adolescents and currently recommended methods for diagnosing TB would provide more up-to-date information relevant to practice and policy.
fundingWorld Health Organization (203256442) REGISTRATION: PROSPERO registration: CRD42023408807.
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