Evidence map›Paper›PMID 40934196›Full record

ArticlePloS one2025

Point-of-care creatinine-based eGFR (StatSensor) in detecting kidney dysfunction (KD) among people living with HIV in Tanzania.

Daniel Msilanga, Anthony Muiru, Elizabeth Msangi, Jacqueline Shoo, Jonathan Mngumi, Ewaldo Komba, Emmanuel Balandya, Paschal Ruggajo, Rajendra Bhimma, Kathleen Liu

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Daniel MsilangaMuhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.ORCID https://orcid.org/0009-0009-6109-0728
Anthony MuiruUniversity of California San Francisco, California, United States of America.
Elizabeth MsangiMuhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Jacqueline ShooMuhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Jonathan MngumiMuhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Ewaldo KombaMuhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Emmanuel BalandyaMuhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Paschal RuggajoThe Aga Khan University, Dar es Salaam, Tanzania.
Rajendra BhimmaUniversity of KwaZulu-Natal, South Africa.
Kathleen LiuUniversity of California San Francisco, California, United States of America.

Funding

University of California Launching Future Leaders in Global Health Research Training ProgramD43TW009343 · FIC · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CRAIG R COHEN, Sung-Jae Lee · 2017 to 2026
$14.7M
FIC NIH HHS D43 TW009343
6 · The paper itself

Abstract

introductionKidney Dysfunction (KD) is prevalent among people living with HIV (PLHIV) in low- and middle-income countries (LMICs), but routine screening is limited due to inadequate laboratory infrastructure. The StatSensor® Point-of-Care (POC) Creatinine Test offers a rapid, cost-effective alternative for early KD detection, though its accuracy in PLHIV remains uncertain.

methodsWe conducted a diagnostic accuracy cross-sectional study at Temeke Regional Referral Hospital (TRRH) HIV Clinic from January to March 2025 among PLHIV aged ≥18 years. Kidney dysfunction (KD) was defined as an estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m² using the CKD-EPI 2021 equation. We compared StatSensor point-of-care eGFR results with eGFR derived from serum creatinine measured by the Jaffe method. Diagnostic performance metrics including sensitivity, specificity, predictive values, and receiver operating characteristic (ROC) curves were reported.

resultsAmong 358 participants, the median age was 48 years, with 66.2% female and 15.6% having KD (eGFR < 60 mL/min/1.73m²). The StatSensor demonstrated 92.9% sensitivity, 94.7% specificity, and 94.4% overall diagnostic accuracy compared to the Jaffe method. The ROC curve (AUC = 0.938) indicated strong test performance, showing substantial agreement with a kappa value of 0.805. Bland-Altman analysis revealed a negative bias of 4.36 mL/min/1.73 m² with limits of agreement from -19.68 to 28.40 and a strong correlation (R² = 0.813) between the two methods.

conclusionThe StatSensor POC Creatinine test demonstrated high diagnostic accuracy and strong agreement with the standard Jaffe method, indicating its potential as a reliable screening tool for kidney dysfunction in PLHIV in resource-limited settings.

Indexed as

CreatinineGlomerular Filtration RateHIV InfectionsPoint-of-Care SystemsAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedPoint-of-Care TestingROC CurveSensitivity and SpecificityTanzaniaCreatinine

Identifiers

PMID40934196
PMCPMC12425315

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