Evidence map›Paper›PMID 35697902›Full record

ArticleJournal of racial and ethnic health disparities2023

Modeling Survival Time to Death Among TB and HIV Co-infected Adult Patients: an Institution-Based Retrospective Cohort Study.

Mesfin Esayas Lelisho, Belete Mulatu Teshale, Seid Ali Tareke, Sali Suleman Hassen, Solomon Abebaw Andargie, Amanuel Mengistu Merera, Sisay Awoke

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Article in Journal of racial and ethnic health disparities, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
1.3field-weighted citation impact, top 19% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 3 syntheses or guidelines pooled it, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Mesfin Esayas LelishoDepartment of Statistics, College of Natural and Computational Science, Mizan-Tepi University, Tepi, Ethiopia. mesfinstat27@gmail.com.ORCID 0000-0002-3207-1829
Belete Mulatu TeshaleDepartment of Statistics, College of Natural and Computational Science, Mizan-Tepi University, Tepi, Ethiopia.
Seid Ali TarekeDepartment of Statistics, College of Natural and Computational Science, Mizan-Tepi University, Tepi, Ethiopia.
Sali Suleman HassenDepartment of Statistics, College of Natural and Computational Science, Mizan-Tepi University, Tepi, Ethiopia.
Solomon Abebaw AndargieDepartment of Statistics, College of Natural and Computational Science, Mizan-Tepi University, Tepi, Ethiopia.
Amanuel Mengistu MereraDepartment of Statistics, College of Natural and Computational Science, Mizan-Tepi University, Tepi, Ethiopia.
Sisay AwokeDepartment of Statistics, College of Natural and Computational Science, Addis Ababa University, Addis Ababa, Ethiopia.
Mizan Tepi University · ETAddis Ababa University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculosis is a serious health threat, particularly for people living with human immunodeficiency virus (HIV), and HIV-positive people are more likely than others to contract the disease. Globally, tuberculosis (TB) is one of the leading causes of death among people living with HIV. The purpose of the current study was to identify factors associated with survival rates of TB/HIV co-infected patients using survival models.

methodsA retrospective study was conducted on TB/HIV co-infected adult patients registered and under follow-up at Tepi General Hospital (TGH) and Mizan-Tepi University Teaching Hospital (MTUTH), southwest Ethiopia. All TB/HIV co-infection patients who were registered and under follow-up from 1st January 2015 through 1st January 2020 were considered. The global Schoenfeld test was used to test the proportional hazard (PH) assumption. Various accelerated failure time (AFT) models were compared to determine the best model for the time to death of TB/HIV co-infected patients' data set. Among the most commonly used accelerated failure time models (AFT models), the study used exponential, Weibull, log-logistic, and log-lognormal AFT models. AIC and BIC were used to compare the performance of fitted models. The data were analyzed with the statistical software R.

resultsOf 363 TB/HIV co-infected patients followed for 60 months, 79 (21.8%) died, while the remaining 284 (78.2%) were censored. The overall median survival time was 15.6 months. The proportional hazard assumption was checked and it was violated. In comparison to other models, the lognormal AFT model performed better. The results of the multivariable lognormal AFT model showed that age, residence, substance use, educational status, clinical stages of the disease, cluster of differentiation 4 (CD4 count/mm

conclusionCurrent study results revealed that older age, substance use, advanced WHO clinical stages of the disease (stage IV), bedridden functional status, and CD4 less than 200 count/mm

Indexed as

CoinfectionHIV InfectionsTuberculosisAdultHIVHumansRetrospective StudiesCo-infectionDeathHIVSurvival analysisTB

Identifiers

PMID35697902
OpenAlexW4282584038

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Registered trials

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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.