Evidence map›Paper›PMID 41048305›Full record

ArticleFrontiers in public health2025

Global, regional, and national burdens of MDR-TB attributable to smoking from 1990 to 2021 with a prediction from 2022 to 2050.

Du Dan, Zhang Lei, Wen Xue, Liu Ze-Xin

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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. Review
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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

4 authors.

Du DanDepartment of Respiratory and Critical Care Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Zhang LeiDepartment of Respiratory and Critical Care Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Wen XueDepartment of Respiratory and Critical Care Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Liu Ze-XinDepartment of Respiratory and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aim was to offer a comprehensive epidemiological assessment of the global prevalence and the smoking-related Multidrug-resistant tuberculosis (MDR-TB) disease burden from 1990 to 2021 and to forecast the trends in smoking burden over three decades. Methods: We compared the burden of smoking-related MDR-TB and temporal trends by gender, age, socio-demographic index (SDI), region, and country. Forecasting analyses of the changing trend in the burden of smoking-related MDR-TB up to 2050 was conducted based on the ARIMA model and ES models. Results: The global age-standardized rate (ASR) of smoking-related MDR-TB increased from 1990 to 2021, highlighting a significant disease burden. In 2021, the cumulative Disability adjusted life years (DALYs) attributed to MDR-TB tallied up to 239,707 cases, with Lesotho, Uzbekistan, Kyrgyzstan, bearing the brunt. The likelihood of developing MDR-TB rose as individuals advanced in years, manifesting most acutely among men aged 35-39 in lower SDI and Low-middle SDI regions. Predictive analysis suggests that by 2050, deaths and DALYs of smoking-related MDR-TB, as well as their corresponding ASR, will continue to decrease. Conclusion: The burden of MDR-TB worldwide, adjusted for age, and related to smoking, has shown a decline from 1990 to 2021. However, regional disparities have been identified, with some areas experiencing an increase in this burden. These regions with a higher burden emphasize the necessity for the implementation of strong tobacco control measures.

Indexed as

Cost of IllnessGlobal HealthSmokingTuberculosis, Multidrug-ResistantAdolescentAdultAgedDisability-Adjusted Life YearsFemaleForecastingHumansMaleMiddle AgedPrevalenceYoung Adultdisability-adjusted life years (DALYs)GBD databasemortalitymultidrug-resistant tuberculosis (MDR-TB)smoking

Identifiers

PMID41048305
PMCPMC12491277

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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.