Development and validation of a nomogram for predicting unfavorable treatment outcomes in patients with pulmonary tuberculosis and diabetes mellitus

We developed and internally validated a nomogram that accurately predicts the risk of unfavorable outcomes in PTB-DM patients by integrating four readily available clinical parameters. This tool shows robust performance and holds promise for aiding clinicians in identifying high-risk individuals for personalized management strategies.

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Publication Details

Journal
Frontiers in Medicine
Published
2026-01-26
DOI
https://doi.org/10.3389/fmed.2026.1722736
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
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article

Development and validation of a nomogram for predicting unfavorable treatment outcomes in patients with pulmonary tuberculosis and diabetes mellitus

Tuantuan Li, Lili Zhou, Haiqing Liu, Wei Zhang et al.
Frontiers in Medicine
Tuberculosis Research and Epidemiology
article

Development and validation of a nomogram for predicting unfavorable treatment outcomes in patients with pulmonary tuberculosis and diabetes mellitus

Tuantuan Li, Lili Zhou, Haiqing Liu, Wei Zhang, Fangfang Song, Manman Liu
article en

Abstract

We developed and internally validated a nomogram that accurately predicts the risk of unfavorable outcomes in PTB-DM patients by integrating four readily available clinical parameters. This tool shows robust performance and holds promise for aiding clinicians in identifying high-risk individuals for personalized management strategies.

Frontiers in MedicineVol. 13
Fuyang Maternity and Child Health Care Hospital (CN), Fuyang Second People's Hospital (CN)
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 75%
Tuberculosis Research and Epidemiology
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