Evidence map›Paper›PMID 42239492›Full record

ArticleKidney international reports2026

Systematic Review and Meta-Analysis of Intensive Care Unit Scoring Systems' Performance in Patients with Pre-Existing Kidney Disease.

Hajar El-Wadia, Marisha Karim, Amos Buh, Abdulghani O Kabli, Nandini Biyani, Risa Shorr, Inok Lee, Deena Fremont, Ron Wald, Shane W English and 5 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.

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0citing papers in PubMed
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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

15 authors.

Hajar El-WadiaSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada.
Marisha KarimInflammation and Chronic Disease Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Amos BuhInflammation and Chronic Disease Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Abdulghani O KabliDepartment of Critical Care Medicine, King Faisal Specialist Hospital and Research Center, Jeddah, Saudi Arabia.
Nandini BiyaniInflammation and Chronic Disease Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Risa ShorrLearning Services, The Ottawa Hospital, Ottawa, Ontario, Canada.
Inok LeeSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada.
Deena FremontInflammation and Chronic Disease Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Ron WaldDivision of Nephrology, Department of Medicine, St. Michael's Hospital, Toronto, Ontario, Canada.
Shane W EnglishSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada.
Samuel A SilverDivision of Nephrology, Department of Medicine, Queen's University, Kingston, Ontario, Canada.
Ayub AkbariInflammation and Chronic Disease Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Gregory A KnollInflammation and Chronic Disease Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Edward G ClarkInflammation and Chronic Disease Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Gregory L HundemerInflammation and Chronic Disease Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Several scoring systems are used to provide prognostic estimates of mortality among patients admitted to the intensive care unit (ICU) but do not account for baseline kidney function. This systematic review and meta-analysis evaluates the performance of commonly used ICU scoring systems in patients with nondialysis chronic kidney disease (CKD), end-stage kidney disease (ESKD) on maintenance dialysis, and kidney transplant recipients (KTRs). Methods: We searched Ovid Medline, Embase, and Scopus from inception through October 10, 2024, to identify observational studies reporting the prognostic performance of ICU scoring systems for mortality in patients with pre-existing kidney disease, analyzed independently or compared with a general ICU population. Results: Twelve studies involving 578,027 patients met inclusion criteria, evaluating 5 ICU scoring systems (sequential organ failure assessment [SOFA], acute physiologic and chronic health evaluation [APACHE] II/III, and simplified acute physiologic score [SAPS] II/III). Most studies involved patients with ESKD on maintenance dialysis and KTRs; data on patients with nondialysis CKD were very limited. For ESKD on maintenance dialysis, the area under the receiver operating characteristic curve (AUROC) showed excellent discrimination for all ICU scoring systems. However, discrimination was consistently lower in ESKD when compared with general ICU population, and calibration metrics showed consistent overestimation of mortality risk in ESKD. Among KTRs, scoring systems displayed consistently poor discrimination, for both SAPS III and SOFA, with variable calibration metrics. Conclusion: Common ICU scoring systems frequently overestimate mortality risk among patients with ESKD on dialysis and kidney transplantation. These findings highlight the need to develop or recalibrate scoring systems for patients with pre-existing kidney disease.

Indexed as

APACHECKDESKDICUSAPSSOFA

Identifiers

PMID42239492
PMCPMC13226241

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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.