Who
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Population: Global population, stratified by age, sex, Sociodemographic Index (SDI) quintiles, regions, and countries.
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Geographic focus: Worldwide, with detailed analyses for eight high-burden countries (India, Indonesia, China, Philippines, Pakistan, Nigeria, Bangladesh, Democratic Republic of the Congo) plus Hong Kong SAR, Macau SAR, and Taiwan.
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Data sources:
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World Health Organization – Global Health Observatory (WHO-GHO)
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Institute for Health Metrics and Evaluation – Global Burden of Disease (GBD 2021)
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What
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Focus: Comprehensive assessment of global tuberculosis (TB) burden and trends, including TB overall, drug-susceptible TB (DS-TB), latent TB infection (LTBI), multidrug-resistant TB (MDR-TB), and extensively drug-resistant TB (XDR-TB).
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Key findings:
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From 1990 to 2021, global age-standardized rates of TB prevalence, incidence, deaths, and DALYs declined substantially.
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DS-TB mirrored overall TB declines, while MDR-TB and XDR-TB showed earlier peaks followed by plateauing or renewed increases in some settings.
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LTBI prevalence declined steadily but remained very high globally.
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Low-SDI regions consistently bore the highest DALY burdens.
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Smoking, high alcohol consumption, and elevated fasting plasma glucose were the leading modifiable risk factors for TB-related DALYs.
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Projections to 2050 suggest continued declines overall, but rising XDR-TB incidence and mortality in some regions (notably Indonesia and the Western Pacific).
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WHO-GHO and GBD 2021 estimates broadly agreed on totals but diverged in rates and stratification, especially in high-burden countries.
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When
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Historical analysis: 1990–2021
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Comparative database analysis: 2000–2021
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Projections: 1990–2050 (GBD 2019 foresight scenarios)
Where
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Global scope, with regional analyses across 21 GBD regions.
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Country-level analyses for 204 countries/territories, emphasizing high TB burden settings.
Why
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To address gaps in understanding:
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Long-term spatiotemporal trends in TB and its subtypes.
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Geographic hotspots and vulnerable populations.
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The contribution of modifiable risk factors to TB-related disability.
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Systematic discrepancies between WHO-GHO and GBD estimates that affect surveillance, policy-making, and health-system planning.
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How
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Study design: Multidimensional secondary data analysis.
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Data sources & tools:
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GBD 2021 taxonomy and estimates (DisMod-MR 2.1, CODEm).
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WHO-GHO TB indicators.
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GBD Compare, Results Tool, and SCImago Graphica.
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Methods:
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Age-standardized rates for prevalence, incidence, deaths, and DALYs.
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Comparative risk assessment using population-attributable fractions (PAFs).
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SDI-stratified analyses.
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Joinpoint (linkage-point) regression for trend detection and APC estimation.
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LOESS smoothing for WHO–GBD trajectory comparisons.
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Outputs: Global, regional, and national trend analyses; risk-factor attribution; future projections; and cross-database concordance assessment.
Overall interpretation:
The study demonstrates substantial global progress against TB since 1990, but highlights persistent inequities, emerging threats from drug-resistant TB, and important methodological differences between global data systems, underscoring the need for targeted prevention, risk-factor modification, and harmonized surveillance.
Source: Jiang, F., Li, X., Qiao, Q., Zhang, M., Tian, Y., Zhou, S., Li, Y., Ni, R., Liu, Y., Zhang, L. and Gong, W., 2026. Global, regional, and national burden of tuberculosis, 1990–2050: a systematic comparative analysis based on retrospective cross-sectional of GBD 2021 and WHO surveillance systems. International Journal of Surgery, 112(1), pp.250-269.
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