Evidence map›Paper›PMID 41940008›Full record

ArticleOpen forum infectious diseases2026

The Impact of Adopting Whole-Genome Sequencing for Tuberculosis Diagnosis in China: A Cost-Effectiveness Analysis.

Yibei He, Xuanjing Li, Chang Liu, Stella Wong, Bonan Fan, Dong Roman Xu, José A Pagán, Jiajun Yuan, Yang Yang, Yan Li

Abstract read
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Article in Open forum infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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.

2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Yibei HeSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0009-0008-6662-690X
Xuanjing LiSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chang LiuSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Stella WongSchool of Public Health, Imperial College London, London, UK.ORCID https://orcid.org/0009-0008-6151-6429
Bonan FanSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Dong Roman XuAcacia Lab for Implementation Science, School of Health Management and Dermatology Hospital, Southern Medical University, Guangzhou, China.
José A PagánDepartment of Public Health Policy and Management, School of Global Public Health, NewYork University, New York, New York, USA.
Jiajun YuanShanghai Engineering Research Center of Intelligence Pediatrics (SERCIP), Shanghai Children's Medical Center, Affiliated with School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Yang YangSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yan LiSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0001-6155-0389

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: China is a high-burden tuberculosis (TB) country and delays in diagnosis and effective treatment have further exacerbated this situation. Whole-genome sequencing (WGS) has emerged as a reliable approach for drug susceptibility testing (DST) in TB. Whole-genome sequencing can not only improve TB treatment outcomes but also requires significant investments in laboratory infrastructure and trained personnel. It is unclear whether WGS is a cost-effective strategy for routine TB diagnosis in China. Methods: We developed a decision tree-Markov model to evaluate the cost-effectiveness and health impact of WGS-based DST compared with culture-based DST and rapid molecular testing strategies (Xpert and Xpert Ultra), adopting a societal perspective. Results: Base-case analysis demonstrated that WGS, Xpert, and Xpert Ultra were cost-saving strategies for TB management. Compared with culture-based DST, the incremental net monetary benefits for Xpert, Xpert Ultra, and WGS were $1750.06, $1832.84, and $1939.32, respectively. Over a lifetime horizon, WGS emerged as the optimal DST strategy, reducing direct medical costs by $401.83 per patient, gaining an additional 0.121 quality-adjusted life years per case, and decreasing TB mortality by 45 cases per 10 000 patients. Sensitivity analyses confirmed the robustness of these findings across key parameters. Conclusions: Whole-genome sequencing-based DST offers a cost-saving solution for patients with TB in China, achieving better health and economic outcomes compared with alternative strategies. The findings suggest that the widespread adoption of WGS-based DST in China would be cost-effective and aligns well with public health priorities in high-burden settings.

Indexed as

cost-effectivenessdrug susceptibility testingeconomic evaluationtuberculosis

Identifiers

PMID41940008
PMCPMC13048903

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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.