Evidence map›Paper›PMID 36075691›Full record

ArticleHIV medicine2023

Iron status among HIV-infected adults during the first year of antiretroviral therapy in Tanzania.

Ajibola Ibraheem Abioye, Christopher R Sudfeld, Michael D Hughes, Said Aboud, Alfa Muhihi, Nzovu Ulenga, Tumaini J Nagu, Molin Wang, Ferdinand Mugusi, Wafaie W Fawzi

Open access · greenAbstract read
In one paragraph

Article in HIV medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 5 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

10 authors at 3 institutions in 2 countries.

Ajibola Ibraheem AbioyeDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0002-6632-613X
Christopher R SudfeldDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Michael D HughesDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Said AboudDepartment of Microbiology and Immunology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Alfa MuhihiManagement and Development for Health (MDH), Dar es Salaam, Tanzania.
Nzovu UlengaManagement and Development for Health (MDH), Dar es Salaam, Tanzania.
Tumaini J NaguDepartment of Internal Medicine, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Molin WangDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Ferdinand MugusiDepartment of Internal Medicine, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Wafaie W FawziDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Harvard University · USMuhimbili University of Health and Allied Sciences · TZManagement and Development for Health · TZ

Funding

Training Tanzanian Researchers for HIV/AIDS Implementation ScienceD43TW009775 · FIC · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Wafaie W Fawzi, Christopher Sudfeld · 2015 to 2026
$3.0M
Trial of Vitamin D in HIV ProgressionR01DK098075 · NIDDK · HARVARD SCHOOL OF PUBLIC HEALTH · PI FAWZI, WAFAIE W · 2013 to 2017
$2.6M
FIC NIH HHS D43 TW009775NIDDK NIH HHS R01 DK098075
6 · The paper itself

Abstract

backgroundThe influence of inflammation on iron status among people living with HIV (PLWHIV) has not been well explored. We evaluated the trajectory of iron status among PLWHIV during the first year of highly active antiretroviral therapy (HAART), compared alternative approaches for inflammation correction, and assessed the associations of iron status with HIV-1 viral load and anthropometric outcomes.

methodsWe conducted a secondary analysis of data from a randomized trial among 400 adults initiating HAART in Tanzania. Ferritin and C-reactive protein (CRP) were measured at baseline, 1, 6 or 12 months. Ferritin was considered in four ways: unadjusted, and adjusted for inflammation using higher cut-off (HC), Thurnham-corrected (TC) and regression-corrected (RC) approaches. For unadjusted, TC and RC ferritin, iron deficiency (ID) was defined using ferritin < 15 μg/L and elevated iron status was defined using ferritin > 150 μg/L among females and > 200 μg/L among males. For HC ferritin, elevated iron status was defined based on serum ferritin > 500 μg/L, while ID was defined using ferritin < 70 μg/L in the presence of inflammation and < 15 μg/L in the absence of inflammation. Regression models evaluated the trajectory of ferritin concentration across categories of baseline characteristics, and assessed the association of iron status with viral and anthropometric outcomes.

resultsThe prevalence of iron deficiency at HAART initiation was 9% for unadjusted, 17% for HC, 12% for TC and 22% for RC ferritin. The prevalence of elevated iron status was 42% for unadjusted, 18% for HC, 31% for TC, and 15% for RC ferritin. The prevalence of iron deficiency for all three methods increased during the first year of HAART, while the prevalence of elevated iron status decreased. Baseline elevated iron status defined using HC ferritin was associated with a greater risk of HIV-1 viral load > 1000 copies/mL [relative risk (RR) = 4.29, 95% CI: 1.38-13.3] and incidence of being underweight [body mass index (BMI) < 18.5 kg/m

conclusionsWhether and how inflammation correction is done influences findings of studies of iron status among PLWHIV.

Indexed as

HIV InfectionsIron DeficienciesAdultBiomarkersFemaleFerritinsHumansInflammationIronMaleTanzaniaBiomarkersFerritinsIron

Identifiers

PMID36075691
PMCPMC9992443
OpenAlexW4295082518

What OpenQuestion holds

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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.