Evidence map›Paper›PMID 41736786›Full record

ArticleJournal of intensive medicine2026

Evaluation of 6-hour urine creatinine clearance as the kidney component in the SOFA score: An observational cohort study.

Liran Statlender, Tzippy Shochat, Mzia Moshiashvili, Eyal Robinson, Moran Hellerman Itzhaki, Itai Bendavid, Guy Fishman, Pierre Singer, Ilya Kagan

Abstract read
In one paragraph

Article in Journal of intensive medicine, 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

9 authors.

Liran StatlenderDepartment of General Intensive Care, Rabin Medical Centre, Beilinson Hospital, Petah Tikva, Israel.
Tzippy ShochatStatistical Consulting Unit, Rabin Medical Centre, Petah Tikva, Israel.
Mzia MoshiashviliClinical Biochemistry Laboratory, Beilinson Hospital, Rabin Medical Center, Petah Tikva, Israel.
Eyal RobinsonDepartment of General Intensive Care, Rabin Medical Centre, Beilinson Hospital, Petah Tikva, Israel.
Moran Hellerman ItzhakiDepartment of General Intensive Care, Rabin Medical Centre, Beilinson Hospital, Petah Tikva, Israel.
Itai BendavidDepartment of General Intensive Care, Rabin Medical Centre, Beilinson Hospital, Petah Tikva, Israel.
Guy FishmanDepartment of General Intensive Care, Rabin Medical Centre, Beilinson Hospital, Petah Tikva, Israel.
Pierre SingerInstitute for Nutrition Research, Felsenstein Medical Research Centre, Petah Tikva, Israel.
Ilya KaganDepartment of General Intensive Care, Rabin Medical Centre, Beilinson Hospital, Petah Tikva, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Sequential Organ Failure Assessment (SOFA) score, originally designed to reflect disease severity, is now recognized as a prognostic tool for critically ill patients. Recently, calls have emerged to update the score to better align it with contemporary clinical practice. Methods: This single-center, prospective, observational study was conducted in a general intensive care unit (ICU) of a university-affiliated tertiary hospital from September 10, 2023, to January 7, 2025. Urinary creatinine clearance (CrCl) was calculated daily using 6-h urine collection (CrCl Results: A total of 200 patients were included in the study. The ICU mortality for these patients was 12.0% while the 90-day mortality reached 29.5%. Compared with Scr, CrCl Conclusion: The categorization of urinary CrCl based on a 6-h urine collection can improve the ability of the SOFA score for predicting mortality.

Indexed as

PredictionSOFA scoreUrinary creatinine clearanceUrine collection

Identifiers

PMID41736786
PMCPMC12925903

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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.