Evidence map›Paper›PMID 35854309›Full record

ArticleBMC medicine2022

Patient outcomes following AKI and AKD: a population-based cohort study.

Huan Wang, Emilie Lambourg, Bruce Guthrie, Daniel R Morales, Peter T Donnan, Samira Bell

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 2% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Social Determinants of Health and ESKD among Survivors of Critical Illness and Acute Kidney Injury.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Observational
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  17. Clinical implications of a history of pre-eclampsia in women with type two diabetes mellitus.Diabetic medicine : a journal of the British Diabetic Association · 2025
    Article
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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

6 authors at 2 institutions in 2 countries.

Huan Wang *Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, DD1 9SY, UK.
Emilie Lambourg *Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, DD1 9SY, UK.
Bruce GuthrieAdvanced Care Research Centre, Usher Institute of Population Health Sciences and Informatics, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK.
Daniel R MoralesDivision of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, DD1 9SY, UK.
Peter T DonnanDivision of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, DD1 9SY, UK.
Samira BellDivision of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, DD1 9SY, UK. s.t.bell@dundee.ac.uk.ORCID 0000-0001-9100-1575
University of Dundee · GBUniversity of Edinburgh · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute kidney injury (AKI) is common and associated with adverse outcomes as well as important healthcare costs. However, evidence examining the epidemiology of acute kidney disease (AKD)-recently defined as AKI persisting between 7 and 90 days-remains limited. The aims of this study were to establish the rates of early AKI recovery, progression to AKD and non-recovery; examine risk factors associated with non-recovery and investigate the association between recovery timing and adverse outcomes, in a population-based cohort.

methodsAll adult residents of Tayside & Fife, Scotland, UK, with at least one episode of community or hospital-managed AKI using KDIGO creatinine-based definition during the period 1 January 2010 to 31 December 2018 were identified. Logistic regression was used to examine factors associated with non-recovery, and Cox modelling was used to establish associations between AKI recovery timing and risks of mortality and development of de novo CKD.

resultsOver 9 years, 56,906 patients with at least one AKI episode were identified with 18,773 (33%) of these progressing to AKD. Of those progressing to AKD, 5059 (27%) had still not recovered at day 90 post AKI diagnosis. Risk factors for AKD included: increasing AKI severity, pre-existing cancer or chronic heart failure and recent use of loop diuretics. Compared with early AKI recovery, progression to AKD was associated with increased hazard of 1-year mortality and de novo CKD (HR = 1.20, 95% CI 1.13 to 1.26 and HR = 2.21, 95% CI 1.91 to 2.57 respectively).

conclusionsThese findings highlight the importance of early AKI recognition and management to avoid progression to AKD and long-term adverse outcomes.

Indexed as

Acute Kidney InjuryRenal Insufficiency, ChronicAcute DiseaseAdultCohort StudiesCreatinineHumansPrognosisCreatinineAcute kidney diseaseAcute kidney injuryChronic kidney diseaseEpidemiologyRecovery

Identifiers

PMID35854309
PMCPMC9297625
OpenAlexW4285891315

What OpenQuestion 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 OpenQuestion graph.