Evidence map›Paper›PMID 40443927›Full record

ArticleFrontiers in public health2025

Trends and disparities in tuberculosis burden in Kazakhstan and Mongolia (2017-2021): a comparative analysis using GBD metrics.

Oyunzul Amartsengel, Malika Idayat, Alexander Rommel, Natalya Glushkova, Kairat Davletov, Malik Adenov, Naranzul Dambaa, Lkhagvasuren Khorolsuren, Elena Von Der Lippe

Erratum issuedAbstract readComparative Study
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. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Oyunzul AmartsengelDepartment of Health Policy, Mongolian National University of Medical Science, Ulaanbaatar, Mongolia.
Malika IdayatDepartment of Medicine and public health, Al-Farabi Kazakh National University, Almaty, Kazakhstan.
Alexander RommelRobert Koch Institute, Berlin, Germany.
Natalya GlushkovaDepartment of Medicine and public health, Al-Farabi Kazakh National University, Almaty, Kazakhstan.
Kairat DavletovScience and Technology Park, Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan.
Malik AdenovResearch Institute of Phthisiopulmonology, Almaty, Kazakhstan.
Naranzul DambaaNational Center for Communicable Disease, Ulaanbaatar, Mongolia.
Lkhagvasuren KhorolsurenNational Center for Communicable Disease, Ulaanbaatar, Mongolia.
Elena Von Der LippeRobert Koch Institute, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In Central Asia, respiratory diseases, particularly tuberculosis (TB), are widespread communicable diseases that significantly impact both individuals and health systems, posing a substantial burden. Research highlights the importance of assessing the impact of TB on global morbidity statistics, given its status as a prominent contributor to global morbidity rates and the cause of over a million deaths annually. Our study aims to assess the patterns and changes in the burden of TB in Mongolia and Kazakhstan. Methods: The design is retrospective cross-sectional study. This study used the Global Burden of Disease (GBD) framework, which introduced disability-adjusted life years (DALY) as a measure of disease burden, combining mortality (Years of Life Lost, YLL) and morbidity (Years Lived with Disability, YLD). The calculations were based on standard GBD formulas, incorporating life expectancy data, age at death, and disease-specific disability weights. We calculated Mongolia's and Kazakhstan's national TB registration data from 2017 to 2021. From 2017 to 2021, Kazakhstan and Mongolia experienced significant declines in the burden of TB, as indicated by reductions in years of life lost and years living with disability. Findings: From 2017 to 2021, Kazakhstan's YLL decreased by 18.2% and YLD by 36%, reflecting improved TB control. Mongolia experienced a 24.9% decline in YLL and a 39.4% reduction in YLD, although premature mortality in older men remains a challenge. These findings highlight the need for targeted interventions and healthcare equity to sustain TB control efforts. YLD rates remained low and had minimal impact on total DALYs, underlining the positive trends in reducing TB mortality and disability in both countries. Kazakhstan and Mongolia have significantly reduced the burden of TB, evidenced by reductions in DALY, YLL, and YLD rates. Interpretation: The results suggest that while TB control efforts have yielded positive results in both countries, Mongolia faces challenges in reducing TB-related mortality and morbidity, highlighting the need for targeted interventions and improved access to TB services. These results are consistent with global trends showing a declining TB burden due to improved diagnostics and treatment strategies but highlighting structural disparities that hinder uniform progress. Moreover, WHO estimates for the Western Pacific Region (WPR) and South-East Asia Region (SEAR) reported a slower increase in tuberculosis mortality trends from 2017 to 2021. Future research should focus on addressing the factors contributing to Mongolia's persistently high TB burden, including access to healthcare, treatment adherence, and the role of comorbidities. In addition, expanding the scope of analysis to other Central Asian countries will provide a broader understanding of TB control efforts across the region.

Indexed as

Cost of IllnessGlobal Burden of DiseaseTuberculosisAdolescentAdultAgedCross-Sectional StudiesDisability-Adjusted Life YearsFemaleHumansKazakhstanLife ExpectancyMaleMiddle AgedMongoliaRetrospective StudiesCentral Asiadisability-adjusted life yearsTByears lived with disabilityyears of life lost

Identifiers

PMID40443927
PMCPMC12119501

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Registered trials

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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.