Evidence map›Paper›PMID 26500739›Full record

ArticleInfectious disease reports2015

Trends and Predictors of Mortality Among HIV Positive Patients in the Era of Highly Active Antiretroviral Therapy in Uganda.

John Rubaihayo, Nazarius M Tumwesigye, Joseph Konde-Lule, Fredrick Makumbi, Edith J Nakku, Henry Wamani, Michael B Etukoit

Abstract read
In one paragraph

Article in Infectious disease reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

  1. Article
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  5. Article
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  8. Predictors of All-Cause Mortality Among People With Human Immunodeficiency Virus (HIV) in a Prospective Cohort Study in East Africa and Nigeria.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. HIV-Related Deaths in Nairobi, Kenya: Results From a HIV Mortuary Surveillance Study, 2015.Journal of acquired immune deficiency syndromes (1999) · 2019
    Article
  14. Article
  15. Prevalence and Risk Factors of Active TB among Adult HIV Patients Receiving ART in Northwestern Tanzania: A Retrospective Cohort Study.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2018
    Article
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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.

John RubaihayoDepartment of Epidemiology and Biostatistics, School of Public Health, College of Health Sciences, Makerere University , Kampala, Uganda ; Department of Public Health, School of Health Sciences, Mountains of the Moon University , Fort Portal, Uganda.
Nazarius M TumwesigyeDepartment of Epidemiology and Biostatistics, School of Public Health, College of Health Sciences, Makerere University , Kampala, Uganda.
Joseph Konde-LuleDepartment of Epidemiology and Biostatistics, School of Public Health, College of Health Sciences, Makerere University , Kampala, Uganda.
Fredrick MakumbiDepartment of Epidemiology and Biostatistics, School of Public Health, College of Health Sciences, Makerere University , Kampala, Uganda.
Edith J NakkuDepartment of Epidemiology and Biostatistics, School of Public Health, College of Health Sciences, Makerere University , Kampala, Uganda.
Henry WamaniDepartment of Epidemiology and Biostatistics, School of Public Health, College of Health Sciences, Makerere University , Kampala, Uganda.
Michael B EtukoitThe AIDS Support Organisation , Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knowledge of mortality trends and predictors among HIV-positive patients in the era of highly active antiretroviral therapy (HAART) in resource poor settings is still limited. The aim of this study was to describe trends and predictors of mortality among HIV-positive patients in the era of HAART in Uganda. Data from 2004 to 2013 for adult HIV-positive patients (≥15 years) obtaining care and treatment from the AIDS Support Organization in Uganda were reviewed for mortality. Descriptive statistics were analyzed by frequencies and cross tabulations. Calendar period was used as a proxy measure for HAART exposure and a time plot of the proportion of HIV-positive patients reporting dead per year was used to describe the trends. Logistic regression was used to determine the predictors of mortality at bivariate and multivariate levels, respectively. We included in the analysis 95,857 HIV positive patients; 64% were female with median age of 33 years (interquartile range 27-40). Of these 36,133 (38%) were initiated on ART and a total of 4279 (4.5%) died; 19.5% (835/4279) of those who died had an opportunistic infection. Overall, mortality first increased between 2004 and 2006 and thereafter substantially declined (X(2) trend=211.9, P<0.001). Mortality was relatively higher in Eastern Uganda compared to other geographical areas. Male gender, older age (>45 years), being from Eastern or Northern Uganda, having none or primary education, being unemployed, advanced immunodeficiency (CD4 count <100 cell/µL or WHO stage III or IV) and underweight (<45 kg weight) at HAART initiation and calendar period 2004-2008 were significant predictors of mortality (P<0.001). Overall, the expanding coverage of HAART is associated with a declining trend in mortality among HIV positive patients in Uganda. However, mortality trends differed significantly by geographical area and men remain potentially at higher risk of death probably because of delayed initiation on ART. There is urgent need for men targeted interventions for improved ART performance.

Indexed as

antiretroviral therapyHIV/AIDSmortalityUganda

Identifiers

PMID26500739
PMCPMC4593885

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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.