Evidence map›Paper›PMID 42871982›Full record

ArticleClinical kidney journal2026

Early postoperative galectin-3 for risk stratification of delayed graft function after kidney transplantation.

Sakura Minami, Stefanny Muriel Figueroa Rodriguez, Fidaa Ibrahim, Amelie Calmont, Christos Chadjichristos, Carmen Lefaucheur, Sophie Brouard, Jerome Han Yee Yu, Hoa Le Mai, Juliane Sen and 8 more

Abstract read
In one paragraph

Article in Clinical kidney journal, 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

18 authors.

Sakura MinamiINSERM, UMR 942, MASCOT: Cardiovascular Marker in Stress Condition, Lariboisière Hospital, Université de Paris, Paris, France.ORCID https://orcid.org/0000-0001-8505-4486
Stefanny Muriel Figueroa RodriguezINSERM, UMRS 1155, CORAKID, Tenon Hospital, Sorbonne Université, Paris, France.
Fidaa IbrahimBiochemistry Department, Lariboisière Hospital GHU AP-HP. Nord, Paris, France.
Amelie CalmontINSERM, UMR 942, MASCOT: Cardiovascular Marker in Stress Condition, Lariboisière Hospital, Université de Paris, Paris, France.
Christos ChadjichristosINSERM, UMRS 1155, CORAKID, Tenon Hospital, Sorbonne Université, Paris, France.ORCID https://orcid.org/0000-0001-6657-7900
Carmen LefaucheurKidney Transplant Department, Saint-Louis Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France.
Sophie BrouardCHU Nantes, Nantes Université, INSERM, Centre de Recherche Translationnelle En Transplantation et Immunologie (CR2TI), Nantes, France.
Jerome Han Yee YuCHU Nantes, Nantes Université, INSERM, Centre de Recherche Translationnelle En Transplantation et Immunologie (CR2TI), Nantes, France.
Hoa Le MaiCHU Nantes, Nantes Université, INSERM, Centre de Recherche Translationnelle En Transplantation et Immunologie (CR2TI), Nantes, France.
Juliane SenDepartment of Anaesthesiology, Critical Care Medicine and Burn Unit, AP-HP, Saint-Louis Hospital, DMU Parabol, FHU PROMICE, Université de Paris, Paris, France.
Benjamin DeniauINSERM, UMR 942, MASCOT: Cardiovascular Marker in Stress Condition, Lariboisière Hospital, Université de Paris, Paris, France.ORCID https://orcid.org/0000-0002-5879-6369
Emanuel DudoignonINSERM, UMR 942, MASCOT: Cardiovascular Marker in Stress Condition, Lariboisière Hospital, Université de Paris, Paris, France.
Feriel AzibaniINSERM, UMR 942, MASCOT: Cardiovascular Marker in Stress Condition, Lariboisière Hospital, Université de Paris, Paris, France.
Malha SadouneINSERM, UMR 942, MASCOT: Cardiovascular Marker in Stress Condition, Lariboisière Hospital, Université de Paris, Paris, France.
Alexandre MebazaaINSERM, UMR 942, MASCOT: Cardiovascular Marker in Stress Condition, Lariboisière Hospital, Université de Paris, Paris, France.ORCID https://orcid.org/0000-0001-8715-7753
Benoit PlaudINSERM, UMR 942, MASCOT: Cardiovascular Marker in Stress Condition, Lariboisière Hospital, Université de Paris, Paris, France.
Francois DépretINSERM, UMR 942, MASCOT: Cardiovascular Marker in Stress Condition, Lariboisière Hospital, Université de Paris, Paris, France.
Louis BoutinINSERM, UMR 942, MASCOT: Cardiovascular Marker in Stress Condition, Lariboisière Hospital, Université de Paris, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Delayed graft function (DGF) is a major early complication after kidney transplantation. Galectin-3 (Gal3), a mediator of inflammation and fibrosis, is associated with renal injury, but its role in predicting DGF remains unclear. This study evaluated whether early postoperative Gal3 levels predict DGF and clinical outcomes. Methods: This single-center retrospective cohort study included adult kidney transplant recipients from deceased donors (January 2021-December 2022). Gal3 was measured preoperatively, at intensive care unit (ICU) admission, and at ICU discharge. The primary outcome was DGF, defined as renal replacement therapy within 7 days. A base clinical model (age, cold ischemia time, creatinine at ICU admission) was compared with a Gal3-extended model, assessed by area under the curve (AUC), Brier score, calibration, bootstrap optimism correction, and categorical net reclassification improvement. Results: Among 182 patients, 35 (19.2%) developed DGF. Gal3 at ICU admission was significantly higher in DGF patients (52.3 vs. 40.0 ng/ml, Conclusion: Gal3 measured at ICU admission was independently associated with DGF and provided modest incremental risk-stratification value. External validation is required before clinical implementation.

Indexed as

biomarkersdelayed graft functiongalectin-3kidney transplantationrisk assessment

Identifiers

PMID42871982
PMCPMC13659777

What OpenQuestion holds

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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.