Evidence map›Paper›PMID 42382183›Full record

ArticleKidney international reports2026

Rachel K Y Hung, John W Booth, Rachel Hilton, Lucy Campbell, Julie Fox, Andrew Ustianowski, Amanda Clarke, Lisa Hamzah, Sarah Schoeman, Kate Bramham and 6 more

Abstract read
In one paragraph

Article in Kidney international reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Rachel K Y HungKing's College London, London, UK.
John W BoothBarts Health NHS Trust, London, UK.
Rachel HiltonGuy's and St Thomas' NHS Foundation Trust, London, UK.
Lucy CampbellKing's College London, London, UK.
Julie FoxKing's College London, London, UK.
Andrew UstianowskiPennine Acute Hospitals NHS Foundation Trust, Manchester, UK.
Amanda ClarkeBrighton and Sussex University Hospital NHS Trust, Brighton, UK.
Lisa HamzahSt George's Hospital NHS Foundation Trust, London, UK.
Sarah SchoemanLeeds Teaching Hospitals NHS Trust, Leeds, UK.
Kate BramhamKing's College London, London, UK.
Fiona BurnsUniversity College London, London, UK.
Hajra OkhaiUniversity College London, London, UK.
Caroline A SabinUniversity College London, London, UK.
Cheryl A WinklerCancer Innovation Laboratory, Center for Cancer Research and the Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, Maryland, USA.
Frank A PostKing's College London, London, UK.
GEN-AFRICA Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Acute kidney injury (AKI) is a common complication of HIV infection and associated with progression to kidney failure. We investigated associations between Methods: We conducted a retrospective analysis of AKI (Kidney Disease: Improving Global Outcomes stages 2/3 and 3) in Genetic Markers of Kidney Disease Progression in People of African Ancestry with HIV (GEN-AFRICA) participants stratified by Results: Among 2701 participants (43% male; mean age 38.7 years; 12.7% with 2 APOL1 variants), 165 individuals experienced 183 AKI episodes. Participants with 2 APOL1 variants were more likely to experience AKI at cohort inception (adjusted PR 6.9, 95% CI: 3.5-13.8, Conclusion: Among people with HIV, 2 APOL1 variants were associated with increased risk of AKI, especially severe AKI at cohort inception, and poorer recovery of post-AKI. AKI identified individuals at increased risk of progression to kidney failure.

Indexed as

AfricaAKIAPOL1apolipoprotein L1chronic kidney diseaseHIV

Identifiers

PMID42382183
PMCPMC13314792

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.