Evidence map›Paper›PMID 39529093›Full record

ArticleBMC research notes2024

Factors associated with time to relapse in pulmonary tuberculosis patients using penalized Cox models.

Zahra Mehrbakhsh, Ghodratollah Roshanaei, Nasser Behnampour, Leili Tapak

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Article in BMC research notes, 2024. 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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Zahra MehrbakhshDepartment of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Ghodratollah RoshanaeiDepartment of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Nasser BehnampourDepartment of Biostatistics and Epidemiology, School of Health, Golestan University of Medical Sciences, Gorgan, Iran.
Leili TapakDepartment of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran. l.tapak@umsha.ac.ir.ORCID http://orcid.org/0000-0002-4378-3143

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPulmonary tuberculosis (TB) is a contagious bacterial infection caused by Mycobacterium tuberculosis that primarily affects the lungs. Despite advances in treatment, TB remains a major public health challenge, particularly in developing countries. This retrospective cohort study aimed to identify factors that influence the time to relapse in patients with pulmonary tuberculosis.

methodsAll smear-positive pulmonary tuberculosis patients (1548 patients) whose data were recorded in the tuberculosis registration system of Golestan University of Medical Sciences and Health Services from March 2014 to March 2019, and followed up until February 2021. To analyze the data, we applied LASSO, MCP, and SCAD penalized Cox models.

resultsBased on the AIC and BIC criteria, the MCP penalized model was better than the LASSO and SCAD penalized models. The variables of age at diagnosis (> 35 vs.

conclusionsHealth care systems should focus on identification of factors that influence time to relapse and developing interventions to reduce relapse rates.

Indexed as

Proportional Hazards ModelsRecurrenceTuberculosis, PulmonaryAdultFemaleHumansIranMaleMiddle AgedRetrospective StudiesRisk FactorsTime FactorsYoung AdultLASSOMinimum concave penaltyPenalized Cox modelsPulmonary tuberculosisSmoothly clipped absolute deviation

Identifiers

PMID39529093
PMCPMC11552238

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