Evidence map›Paper›PMID 25070128›Full record

ArticleBMC medicine2014

Hypertension, kidney disease, HIV and antiretroviral therapy among Tanzanian adults: a cross-sectional study.

Robert N Peck, Rehema Shedafa, Samuel Kalluvya, Jennifer A Downs, Jim Todd, Manikkam Suthanthiran, Daniel W Fitzgerald, Johannes B Kataraihya

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed, 4 pooled it
11.1field-weighted citation impact, top 1% 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

123 citing papers in PubMed, 4 syntheses or guidelines pooled it, 178 citations in OpenAlex.

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  11. Physical activity and hypertension amongst HIV-positive and HIV-negative populations in rural South Africa.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
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63 more citing papers are in PubMed but not listed here.

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

8 authors at 4 institutions in 3 countries.

Robert N Peck
Rehema Shedafa
Samuel Kalluvya
Jennifer A Downs
Jim Todd
Manikkam Suthanthiran
Daniel W Fitzgerald
Johannes B Kataraihya
Catholic University of Health and Allied Sciences · TZCornell University · USBugando Medical Centre · TZLondon School of Hygiene & Tropical Medicine · GB

Funding

TUBERCULOSIS INTERNATIONAL TRAINING AND RESEARCH PROGRAMD43TW000018 · FIC · WEILL MEDICAL COLL OF CORNELL UNIV · PI JOHNSON, WARREN DOUGLAS · 1988 to 2012
$16.1M
Global Health Research Training in HIV and TuberculosisK24AI098627 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI FITZGERALD, DANIEL W · 2012 to 2022
$1.8M
FIC NIH HHS D43 TW000018FIC NIH HHS TW000018NIAID NIH HHS K24 AI098627
6 · The paper itself

Abstract

backgroundThe epidemics of HIV and hypertension are converging in sub-Saharan Africa. Due to antiretroviral therapy (ART), more HIV-infected adults are living longer and gaining weight, putting them at greater risk for hypertension and kidney disease. The relationship between hypertension, kidney disease and long-term ART among African adults, though, remains poorly defined. Therefore, we determined the prevalences of hypertension and kidney disease in HIV-infected adults (ART-naive and on ART >2 years) compared to HIV-negative adults. We hypothesized that there would be a higher hypertension prevalence among HIV-infected adults on ART, even after adjusting for age and adiposity.

methodsIn this cross-sectional study conducted between October 2012 and April 2013, consecutive adults (>18 years old) attending an HIV clinic in Tanzania were enrolled in three groups: 1) HIV-negative controls, 2) HIV-infected, ART-naive, and 3) HIV-infected on ART for >2 years. The main study outcomes were hypertension and kidney disease (both defined by international guidelines). We compared hypertension prevalence between each HIV group versus the control group by Fisher's exact test. Logistic regression was used to determine if differences in hypertension prevalence were fully explained by confounding.

resultsAmong HIV-negative adults, 25/153 (16.3%) had hypertension (similar to recent community survey data). HIV-infected adults on ART had a higher prevalence of hypertension (43/150 (28.7%), P = 0.01) and a higher odds of hypertension even after adjustment (odds ratio (OR) = 2.19 (1.18 to 4.05), P = 0.01 in the best model). HIV-infected, ART-naive adults had a lower prevalence of hypertension (8/151 (5.3%), P = 0.003) and a lower odds of hypertension after adjustment (OR= 0.35 (0.15 to 0.84), P = 0.02 in the best model). Awareness of hypertension was ≤ 25% among hypertensive adults in all three groups. Kidney disease was common in all three groups (25.6% to 41.3%) and strongly associated with hypertension (P <0.001 for trend); among hypertensive participants, 50/76 (65.8%) had microalbuminuria and 20/76 (26.3%) had an estimated glomerular filtration rate (eGFR) <60 versus 33/184 (17.9%) and 16/184 (8.7%) participants with normal blood pressure.

conclusionsHIV-infected adults on ART >2 years had two-fold greater odds of hypertension than HIV-negative controls. HIV-infected adults with hypertension were rarely aware of their diagnosis but often have evidence of kidney disease. Intensive hypertension screening and education are needed in HIV-clinics in sub-Saharan Africa. Further studies should determine if chronic, dysregulated inflammation may accelerate hypertension in this population.

Indexed as

AdultAnti-Retroviral AgentsComorbidityCross-Sectional StudiesFemaleHIV InfectionsHumansHypertensionLogistic ModelsMaleMiddle AgedOdds RatioPrevalenceRenal InsufficiencyTanzaniaAnti-Retroviral Agents

Identifiers

PMID25070128
PMCPMC4243281
OpenAlexW2105359113

What OpenQuestion holds

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LicenceCC BY
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.