ArticleJournal of multidisciplinary healthcare2026
Cox Proportional Hazards Model Analysis of Survival Among Tuberculosis Patients Under Treatment in Mbuji-Mayi, Democratic Republic of the Congo.
Article in Journal of multidisciplinary healthcare, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Tuberculosis (TB) remains one of the leading causes of death in Mbuji-Mayi, as in many other cities worldwide. Despite the availability of free treatment, TB continues to spread in the city due to weaknesses in health system performance, socioeconomic conditions, and limited financial resources. This study aimed to contribute to reducing TB-related mortality in Mbuji-Mayi by identifying risk factors affecting the survival of patients undergoing anti-tuberculosis treatment. Methods: A retrospective cohort study was conducted among tuberculosis patients registered and followed up in the TB treatment centers (CDTs) of Mbuji-Mayi between January 1 and December 31, 2024. Data were collected from patient records and treatment registers. A total of 1,633 cases were included in the analysis. Survival probabilities were estimated using the Kaplan-Meier method, and factors associated with survival were identified using the Cox proportional hazards model. Results: Multivariate analysis showed that comorbid conditions such as HIV and diabetes were significantly associated with mortality among TB patients (adjusted Hazard Ratio [aHR] = 4.65; Conclusion: The overall survival probability remained high, ranging from 99.7% in the first month to 98.8% in the fifth month of treatment. Most deaths occurred early during therapy. Mortality among TB patients in Mbuji-Mayi is mainly influenced by comorbidity, drug resistance, male sex, and tobacco or alcohol consumption. Strengthening early detection, adherence support, and management of comorbid conditions could improve patient survival.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.