Evidence map›Paper›PMID 39541400›Full record

ArticlePLoS medicine2024

Identification and outcomes of acute kidney disease in patients presenting in Bolivia, Brazil, South Africa, and Nepal.

Rhys D R Evans, Sanjib K Sharma, Rolando Claure-Del Granado, Brett Cullis, Emmanuel A Burdmann, Fos Franca, Junio Aguiar, Martyn Fredlund, Kelly Hendricks, Maria F Iturricha-Caceres and 5 more

Abstract readMulticenter Study
In one paragraph

Article in PLoS medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

15 authors.

Rhys D R EvansCentre for Kidney and Bladder Health, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-7543-2041
Sanjib K SharmaB.P. Koirala Institute of Health Sciences, Dharan, Nepal.
Rolando Claure-Del GranadoIIBISMED, Universidad Mayor de San Simon, School of Medicine, Cochabamba, Bolivia.ORCID https://orcid.org/0000-0002-8163-3779
Brett CullisUniversity of Cape Town, Cape Town, South Africa.
Emmanuel A BurdmannLIM 12, Division of Nephrology, and Department of Infectious and Parasitic Diseases, University of Sao Paulo, Medical School, Sao Paulo, Brazil.ORCID https://orcid.org/0000-0002-7644-8579
Fos FrancaLIM 12, Division of Nephrology, and Department of Infectious and Parasitic Diseases, University of Sao Paulo, Medical School, Sao Paulo, Brazil.
Junio AguiarUniversity of Para, Santarem, Brazil.
Martyn FredlundNorth Bristol NHS Trust, Bristol, United Kingdom.ORCID https://orcid.org/0000-0001-8072-329X
Kelly HendricksISN Programs, Denver, Colorado, United States of America.
Maria F Iturricha-CaceresFacultad de Medicina, Universidad Privada del Valle, Tiquipaya, Bolivia.
Mamit RaiB.P. Koirala Institute of Health Sciences, Dharan, Nepal.
Bhupendra ShahB.P. Koirala Institute of Health Sciences, Dharan, Nepal.
Shyam KafleB.P. Koirala Institute of Health Sciences, Dharan, Nepal.
David C HarrisWestmead Institute for Medical Research, University of Sydney, Sydney, Australia.
Mike V RoccoWake Forest School of Medicine, Winston-Salem, North Carolina, United States of America.ORCID https://orcid.org/0000-0003-0544-6071

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe International Society of Nephrology proposes an acute kidney disease (AKD) management strategy that includes a risk score to aid AKD identification in low- and low-middle-income countries (LLMICs). We investigated the performance of the risk score and determined kidney and patient outcomes from AKD at multiple LLMIC sites. METHODS AND

findingsAdult patients presenting to healthcare facilities in Bolivia, Brazil, South Africa, and Nepal were screened using a symptom-based risk score and clinical judgment. Those at AKD risk underwent serum creatinine testing, predominantly with a point-of-care (POC) device. Clinical data were collected prospectively between September 2018 and November 2020. We analyzed risk score performance and determined AKD outcomes at discharge and over follow-up of 90 days. A total of 4,311 patients were at increased risk of AKD, and 2,922 (67.8%) had AKD confirmed. AKD prevalence was 80.2% in patients enrolled based on the risk score and 32.5% when enrolled on clinical judgment alone (p < 0.0001). The area under the receiver operating characteristic curve was 0.73 for the risk score to detect AKD. Death during admission occurred in 84 (2.9%) patients with AKD and 3 (0.2%) patients without kidney disease (p < 0.0001). Death after discharge occurred in 206 (9.7%) AKD patients, and 1865 AKD patients underwent reassessment of kidney function after discharge; 902 (48.4%) patients had persistent kidney disease including 740 (39.7%) patients reclassified with de novo or previously undiagnosed chronic kidney disease (CKD). The study was pragmatically designed to assess outcomes as part of routine healthcare, and there was heterogeneity in clinical practice and outcomes between sites, in addition to selection bias during cohort identification.

conclusionsThe use of a risk score can aid AKD identification in LLMICs. High rates of persistent kidney disease and mortality after discharge highlight the importance of AKD follow-up in low-resource settings.

Indexed as

Acute Kidney InjuryAdultAgedBoliviaBrazilCreatinineFemaleHumansMaleMiddle AgedNepalPrevalenceProspective StudiesRisk AssessmentRisk FactorsSouth AfricaCreatinine

Identifiers

PMID39541400
PMCPMC11611263

What Socratic holds

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LicenceCC BY
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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 Socratic graph.