Evidence map›Paper›PMID 41556047›Full record

ArticlePeerJ2026

Evaluation of the Cleveland Clinic Score for predicting acute kidney injury across different elective cardiac surgeries-a retrospective study.

Mateusz Kozioł, Vladyslav Kyslyi, Dorota Sobczyk, Jacek Piatek, Janusz Konstanty-Kalandyk

Abstract read
In one paragraph

Article in PeerJ, 2026. 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

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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

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.

Mateusz KoziołMedical College, Jagiellonian University, Krakow, Poland.
Vladyslav KyslyiMedical College, Jagiellonian University, Krakow, Poland.
Dorota SobczykMedical College, Jagiellonian University, Krakow, Poland.
Jacek PiatekMedical College, Jagiellonian University, Krakow, Poland.
Janusz Konstanty-KalandykMedical College, Jagiellonian University, Krakow, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute kidney injury (AKI) after cardiac surgery is a serious postoperative complication associated with an increased risk of mortality. The Cleveland Clinic Score (CCS) is one of the tools that allows preoperative assessment of the likelihood of developing AKI. However, the tool has not been validated in different types of cardiac surgery procedures. Our aim was to evaluate the CCS before different types of cardiac surgery and to assess the usefulness of this tool as a predictor of AKI. Methods: In this retrospective study we included patients who underwent elective cardiac surgery in 2023. Our endpoint was AKI, as defined by the Kidney Diseases Improving Global Outcomes (KDIGO) criteria. The predictive value for AKI after cardiac surgery (CCS) was evaluated using receiver operating characteristic (ROC) curves and area under the curve (AUC) values. Results: A total of 610 patients underwent elective cardiac surgery. Patients with and without AKI were divided into CCS stages: stage I (57.8 Conclusions: The overall CCS value showed a moderate predictive ability for AKI (AUC 0.630) and particularly useful for predicting renal replacement therapy (RRT), but for individual groups the scale should be modified by adding several new factors.

Indexed as

Acute Kidney InjuryCardiac Surgical ProceduresElective Surgical ProceduresPostoperative ComplicationsAgedFemaleHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesRisk AssessmentROC CurveAcute kidney injuryAcute kidney injury prediction modelCardiac surgeryCleveland clinic score

Identifiers

PMID41556047
PMCPMC12812272

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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.