Survival model analysis of tuberculosis treatment among patients with human immunodeficiency virus coinfection

Azeez, Adeboye; Mutambayi, Ruffin; Odeyemi, Akinwumi; Ndege, James

doi:10.4103/ijmy.ijmy_101_19

Cited by 14 publications

(14 citation statements)

References 25 publications

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“…Our findings suggest many authors were not aware of the alternatives to use when PH assumption is violated and resulted to incorrect methods like excluding independent variables found to have violated the PH assumption [54]. When the PH assumption is violated for some continuous variables, creating binary or ordinal variables could be an option [30].…”

Section: Discussionmentioning

confidence: 91%

“…Among 67 studies that performed CPH regression analysis, 32/67 (48%) mentioned testing of the PH assumption (in the statistical methods section), however, only 2/ 67 (3.0%) reported the PH assumption test result [42,53]. Where the PH assumption was violated, some studies excluded individual predictors violating the assumption [54] or reported odds ratio rather than hazard ratios [55] or censored the analysis at 28 days for a study with follow-up of 12 weeks to meet the PH assumption [56]. Only one study [51] among the 3 that performed competing risk analysis mentioned testing the underlying PH assumption but did not report the test results.…”

Section: Test Of Regression Models Underlying Assumptionsmentioning

confidence: 99%

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A systematic review of the quality of conduct and reporting of survival analyses of tuberculosis outcomes in Africa

Ngari

Schmitz

Maronga

et al. 2021

BMC Med Res Methodol

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Background Survival analyses methods (SAMs) are central to analysing time-to-event outcomes. Appropriate application and reporting of such methods are important to ensure correct interpretation of the data. In this study, we systematically review the application and reporting of SAMs in studies of tuberculosis (TB) patients in Africa. It is the first review to assess the application and reporting of SAMs in this context. Methods Systematic review of studies involving TB patients from Africa published between January 2010 and April 2020 in English language. Studies were eligible if they reported use of SAMs. Application and reporting of SAMs were evaluated based on seven author-defined criteria. Results Seventy-six studies were included with patient numbers ranging from 56 to 182,890. Forty-three (57%) studies involved a statistician/epidemiologist. The number of published papers per year applying SAMs increased from two in 2010 to 18 in 2019 (P = 0.004). Sample size estimation was not reported by 67 (88%) studies. A total of 22 (29%) studies did not report summary follow-up time. The survival function was commonly presented using Kaplan-Meier survival curves (n = 51, (67%) studies) and group comparisons were performed using log-rank tests (n = 44, (58%) studies). Sixty seven (91%), 3 (4.1%) and 4 (5.4%) studies reported Cox proportional hazard, competing risk and parametric survival regression models, respectively. A total of 37 (49%) studies had hierarchical clustering, of which 28 (76%) did not adjust for the clustering in the analysis. Reporting was adequate among 4.0, 1.3 and 6.6% studies for sample size estimation, plotting of survival curves and test of survival regression underlying assumptions, respectively. Forty-five (59%), 52 (68%) and 73 (96%) studies adequately reported comparison of survival curves, follow-up time and measures of effect, respectively. Conclusion The quality of reporting survival analyses remains inadequate despite its increasing application. Because similar reporting deficiencies may be common in other diseases in low- and middle-income countries, reporting guidelines, additional training, and more capacity building are needed along with more vigilance by reviewers and journal editors.

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Section: Discussionmentioning

confidence: 91%

Section: Test Of Regression Models Underlying Assumptionsmentioning

confidence: 99%

A systematic review of the quality of conduct and reporting of survival analyses of tuberculosis outcomes in Africa

Ngari

Schmitz

Maronga

et al. 2021

BMC Med Res Methodol

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“…While Tanzania is amongst the seven high burden countries on track to reach the End TB 2020 milistones [1] , [12] , TB mortality is still twice as high as the global mortality [1] . Survival probabilities among TB patients from preceding studies ranged from 95.8% to 97% in the intensive phase and 83% to 91% in the continuation phases [13] , [14] , [15] . There have been conflicting reports on risk factors for death among TB patients.…”

Section: Introductionmentioning

confidence: 97%

Mortality and associated factors among adult patients on tuberculosis treatment in Tanzania: A retrospective cohort study

Bukundi

Mhimbira

Kishimba³

et al. 2021

Journal of Clinical Tuberculosis and Other Mycobacterial Diseas

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“…Second, some possible factors were not verified in our study, such as delayed time for diagnosis, drug resistance status, education level of patients, smoking status, and comorbidity of HIV. 21 , 34 , 35 Meanwhile, some explorations in clinical data such as radiologic severity and drug adverse effects were not considered. We, however, investigated three different survival periods providing the dynamic characteristics of associated factors, which contributed to a better understanding of PTB survival features.…”

Section: Discussionmentioning

confidence: 99%

Survival Analysis and Associated Factors for Pulmonary Tuberculosis Death: Evidence from the Information System of Tuberculosis Disease and Mortality Surveillance in China

Liu¹,

Ai²,

Jin³

et al. 2022

RMHP

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Background Pulmonary tuberculosis (PTB) is a severe infection, and its factors that influence survival have not been explored in some developed regions. Therefore, this study aimed to identify the factors that influence TB survival in China. Methods We acquired data of PTB deaths through matching two manage systems of PTB and mortality surveillance. The Kaplan–Meier method and Cox regression model were used to identify the significant factors under various survival times. Results A total of 283 deaths were caused by PTB, in which 53.4% occurred during the first year. In the Cox regression model, regular sputum smear test could reduce the risk of PTB death from the result of one-, three-, and five-year survival; and history of PTB treatment could decline the risk of PTB death in the first year. Additionally, age of “75–90 years” and positive result of sputum smear test significantly increased the risk of PTB death for the findings of three- and five-year survival, while age of “60–75 years” could increase the probability of PTB death for five-year survival. Conclusion To reduce PTB deaths, more attention should be paid to the older group especially in the first year. Regular sputum smear test could effectively reduce the mortality of PTB cases. More evidence-based interventions should be implemented to enhance the survival of patients with PTB.

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Survival model analysis of tuberculosis treatment among patients with human immunodeficiency virus coinfection

Cited by 14 publications

References 25 publications

A systematic review of the quality of conduct and reporting of survival analyses of tuberculosis outcomes in Africa

A systematic review of the quality of conduct and reporting of survival analyses of tuberculosis outcomes in Africa

Mortality and associated factors among adult patients on tuberculosis treatment in Tanzania: A retrospective cohort study

Survival Analysis and Associated Factors for Pulmonary Tuberculosis Death: Evidence from the Information System of Tuberculosis Disease and Mortality Surveillance in China

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