Evidence map›Paper›PMID 30476001›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2019

Noninfectious Comorbidity in the African Cohort Study.

Julie A Ake, Christina S Polyak, Trevor A Crowell, Francis Kiweewa, Michael Semwogerere, Lucas Maganga, Emmanuel Bahemana, Jonah Maswai, Rither Langat, John Owuoth and 13 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
7.6field-weighted citation impact, top 2% 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

42 citing papers in PubMed, 61 citations in OpenAlex.

  1. Unique CD8bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
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  8. Plasma Inflammatory Biomarkers Link to Worse Cognition Among Africans With HIV.Journal of acquired immune deficiency syndromes (1999) · 2025
    Article
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  11. Review
  12. Observational
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  17. 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
  18. Article
  19. Article
  20. Genetic variation that determinesProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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

23 authors at 5 institutions in 3 countries.

Julie A AkeUS Military Human Immunodeficiency Virus (HIV) Research Program, Walter Reed Army Institute of Research, Silver Spring, Bethesda, Maryland.
Christina S PolyakUS Military Human Immunodeficiency Virus (HIV) Research Program, Walter Reed Army Institute of Research, Silver Spring, Bethesda, Maryland.
Trevor A CrowellUS Military Human Immunodeficiency Virus (HIV) Research Program, Walter Reed Army Institute of Research, Silver Spring, Bethesda, Maryland.
Francis KiweewaMakerere University Walter Reed Project, Kampala, Uganda.
Michael SemwogerereMakerere University Walter Reed Project, Kampala, Uganda.
Lucas MagangaMbeya Medical Research Program, Tanzania.
Emmanuel BahemanaMbeya Medical Research Program, Tanzania.
Jonah MaswaiHenry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland.
Rither LangatHenry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland.
John OwuothHenry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland.
Solomon OtienoHenry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland.
Babajide KeshinroUS Military HIV Research Program, Walter Reed Army Institute of Research, Abuja, Nigeria.
Allahna L EsberUS Military Human Immunodeficiency Virus (HIV) Research Program, Walter Reed Army Institute of Research, Silver Spring, Bethesda, Maryland.
Michelle LiuUS Military Human Immunodeficiency Virus (HIV) Research Program, Walter Reed Army Institute of Research, Silver Spring, Bethesda, Maryland.
Leigh Anne EllerUS Military Human Immunodeficiency Virus (HIV) Research Program, Walter Reed Army Institute of Research, Silver Spring, Bethesda, Maryland.
Kavitha GanesanUS Military Human Immunodeficiency Virus (HIV) Research Program, Walter Reed Army Institute of Research, Silver Spring, Bethesda, Maryland.
Ajay P ParikhUS Military Human Immunodeficiency Virus (HIV) Research Program, Walter Reed Army Institute of Research, Silver Spring, Bethesda, Maryland.
Tiffany E HammUS Military Human Immunodeficiency Virus (HIV) Research Program, Walter Reed Army Institute of Research, Silver Spring, Bethesda, Maryland.
Merlin L RobbUS Military Human Immunodeficiency Virus (HIV) Research Program, Walter Reed Army Institute of Research, Silver Spring, Bethesda, Maryland.
Patrick W HickeyUS Military Human Immunodeficiency Virus (HIV) Research Program, Walter Reed Army Institute of Research, Silver Spring, Bethesda, Maryland.
Victor G ValcourUniversity of California San Francisco School of Medicine.
Nelson L MichaelUS Military Human Immunodeficiency Virus (HIV) Research Program, Walter Reed Army Institute of Research, Silver Spring, Bethesda, Maryland.
African Cohort Study Team
Henry M. Jackson Foundation · USWalter Reed Army Institute of Research · USUniversity of California, San Francisco · USMakerere University Walter Reed Project · UGAmref Health Africa · TZ

Funding

Midcareer Mentoring Award for Patient-Oriented Research in HIV and CognitionK24MH098759 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VALCOUR, VICTOR · 2013 to 2017
$887k
NIMH NIH HHS K24 MH098759PEPFAR
6 · The paper itself

Abstract

backgroundNoninfectious comorbid diseases (NCDs) contribute to morbidity and mortality in human immunodeficiency virus (HIV)-infected populations in resource-rich countries. With antiretroviral therapy (ART) scale-up in Africa, understanding burden NCD informs public health strategy.

methodsAt enrollment, participants at 11 HIV clinics in Kenya, Uganda, Tanzania, and Nigeria underwent medical history, physical, laboratory, and neuropsychological assessments to identify elevated blood pressure, hypercholesterolemia, dysglycemia, renal insufficiency, and cognitive impairment. Poisson regression models estimated adjusted relative risks (ARRs) and 95% confidence intervals (CIs) for the number of NCDs associated with factors of interest. Logistic regression was used to evaluate each NCD separately among HIV-infected participants.

resultsAmong 2720 participants with complete NCD data, 2159 (79.4%) were HIV-infected. Of those, 1426 (66.0%) were taking ART and 813 (37.7%) had at least 1 NCD. HIV infection was associated with more NCDs, especially with ART (ARR, 1.42; 95% CI, 1.22-1.66). In addition to age, body mass index, and program site, ART usage was associated with more NCDs (ARR, 1.50; 95% CI, 1.27-1.78 for virologically suppressed and ARR, 1.38; 95% CI, 1.13-1.68 for viremic) among HIV-infected participants. In participants taking ART, CD4 nadir below 200 cells/mm3 was associated with more NCDs (ARR, 1.43; 95% CI, 1.06-1.93). ART use was independently associated with hypercholesterolemia and dysglycemia. Program site was significantly associated with all comorbidities except renal insufficiency.

conclusionsHIV infection was a risk for NCDs, which were common in HIV-infected participants, geographically variable, and largely consistent with metabolic complications of first-line ART.

Indexed as

AdultAfrica South of the SaharaComorbidityFemaleHIV InfectionsHumansLongitudinal StudiesMaleMiddle AgedNoncommunicable DiseasesAfricacomorbidityHIVnoninfectious

Identifiers

PMID30476001
PMCPMC6669288
OpenAlexW2903089706

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.