Evidence map›Paper›PMID 42603811›Full record

ArticleScientific reports2026

Incidence, time trends and predictors of acute kidney injury in the region of Stockholm, Sweden.

Jim Alkas, Carl-Gustaf Elinder, Peter Barany, Arvid Sjölander, Juan-Jesus Carrero

Abstract read
In one paragraph

Article in Scientific 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

5 authors.

Jim AlkasDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. jim.alkas@ki.se.ORCID 0009-0003-3908-8206
Carl-Gustaf ElinderDivision of Nephrology, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.
Peter BaranyDivision of Nephrology, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.
Arvid SjölanderDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Juan-Jesus CarreroDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute kidney injury (AKI) is a common and potentially serious complication, yet population-level data on its burden and determinants remain limited. We quantified AKI incidence, temporal trends, and risk factors across a complete healthcare system. We conducted a population-based cohort study including all adult residents of Stockholm, Sweden (2017-2021) using the SCREAM project. AKI events requiring hospitalization or occurring during hospital stays were identified using a composite algorithm incorporating laboratory-based KDIGO creatinine criteria, ICD-10 diagnoses, and acute dialysis procedure codes. We calculated annual incidence rates, temporal trends using Poisson regression, and incidence rate ratios for selected demographic, clinical, and laboratory-defined risk factors. Among approximately 1.9 million adults annually, 0.6-0.7% experienced AKI each year (71-95 per 10,000 person-years). AKI occurred in 5.8-7.8% of hospitalizations, with only 30% reaching KDIGO stage 2-3. From 2017 to 2021, AKI incidence increased by 26% (95% CI 1.23-1.29). Populations at highest risk of AKI were largely consistent over the years, and included older adults, men, and individuals with uncontrolled diabetes, prior AKI, hypertension, heart failure, kidney transplantation, and multiple myeloma. Lower eGFR and higher albuminuria were associated with markedly higher AKI risk in a graded manner. COVID-19 infection was associated with a six-fold higher AKI risk in 2020, but marked attenuation in 2021 suggests it does not explain the overall upward trend. This region-wide analysis quantifies the contemporary burden of AKI and identifies high-risk populations that may benefit from targeted prevention and monitoring strategies.

Indexed as

Acute Kidney InjuryAdultAgedAged, 80 and overFemaleHospitalizationHumansIncidenceMaleMiddle AgedRisk FactorsSwedenAcute kidney injuryAlbuminuriaChronic kidney diseaseCOVID-19Diabetes mellitusHypertension

Identifiers

PMID42603811
PMCPMC13477473

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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.