Evidence map›Paper›PMID 39572634›Full record

ArticleScientific reports2024

Predictive utility of nomogram based on serum glucose-regulated protein 78 and kidney function for long-term kidney graft survival.

Keiji Fujimoto, Hiroki Adachi, Serina Kita, Megumi Sakuma, Hirotaka Yamanouchi, Sho Kumano, Ai Fujii, Keita Yamazaki, Keiichiro Okada, Norifumi Hayashi and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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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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

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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

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

11 authors.

Keiji FujimotoDepartment of Nephrology, Kanazawa Medical University School of Medicine, 1-1 Daigaku, Uchinada, 920-0293, Ishikawa, Japan. k-2210@kanazawa-med.ac.jp.
Hiroki AdachiDepartment of Nephrology, Kanazawa Medical University School of Medicine, 1-1 Daigaku, Uchinada, 920-0293, Ishikawa, Japan.
Serina KitaDepartment of Nephrology, Kanazawa Medical University School of Medicine, 1-1 Daigaku, Uchinada, 920-0293, Ishikawa, Japan.
Megumi SakumaDepartment of Nephrology, Kanazawa Medical University School of Medicine, 1-1 Daigaku, Uchinada, 920-0293, Ishikawa, Japan.
Hirotaka YamanouchiDepartment of Nephrology, Kanazawa Medical University School of Medicine, 1-1 Daigaku, Uchinada, 920-0293, Ishikawa, Japan.
Sho KumanoDepartment of Nephrology, Kanazawa Medical University School of Medicine, 1-1 Daigaku, Uchinada, 920-0293, Ishikawa, Japan.
Ai FujiiDepartment of Nephrology, Kanazawa Medical University School of Medicine, 1-1 Daigaku, Uchinada, 920-0293, Ishikawa, Japan.
Keita YamazakiDepartment of Nephrology, Kanazawa Medical University School of Medicine, 1-1 Daigaku, Uchinada, 920-0293, Ishikawa, Japan.
Keiichiro OkadaDepartment of Nephrology, Kanazawa Medical University School of Medicine, 1-1 Daigaku, Uchinada, 920-0293, Ishikawa, Japan.
Norifumi HayashiDepartment of Nephrology, Kanazawa Medical University School of Medicine, 1-1 Daigaku, Uchinada, 920-0293, Ishikawa, Japan.
Kengo FuruichiDepartment of Nephrology, Kanazawa Medical University School of Medicine, 1-1 Daigaku, Uchinada, 920-0293, Ishikawa, Japan.

Funding

Grant-in-Aid for Young Scientists from the Japan Society for the Promotion of Science 21K16174Grants-in-Aid for Scientific Research from the Japan Society for the Promotion of Science (C) 22K16251
6 · The paper itself

Abstract

The estimated glomerular filtration rate (eGFR) at 1 year post-transplantation is a well-established predictor of long-term graft survival; however, its predictive accuracy needs improvement. We retrospectively analyzed data from 51 kidney transplant recipients at Kanazawa Medical University Hospital (January 2001-February 2015). Cox regression was used to identify risk factors for death-censored graft loss and create a nomogram to predict graft survival at 15 years post-transplantation. The predictive factors ultimately included in the nomogram included eGFR and serum glucose-regulated protein 78 (GRP78) at 1 year post-transplantation. In terms of discrimination, assessed by area under the receiver operating characteristic curve (AUC-ROC), no significant difference was noted between the eGFR model (AUC 0.84 [0.67-1.00]) and nomogram (AUC 0.92 [0.82-1.00]) (p = 0.38). However, calibration, evaluated by the calibration plot, indicated superiority of the nomogram over the eGFR model, confirmed in the internal validation cohort using the Bootstrap method. Regarding clinical value evaluated by decision curve analysis, the nomogram showed a greater net benefit than the eGFR model, especially at wider diagnostic thresholds (particularly important lower thresholds). Our findings suggest the added predictive value of serum GRP78 at 1 year post-transplantation for long-term graft survival prediction.

Indexed as

Endoplasmic Reticulum Chaperone BiPGlomerular Filtration RateGraft SurvivalKidney TransplantationNomogramsAdultAgedFemaleHeat-Shock ProteinsHumansKidneyMaleMiddle AgedRetrospective StudiesRisk FactorsROC CurveEndoplasmic Reticulum Chaperone BiPHeat-Shock ProteinsHSPA5 protein, humanBiomarkersGraft survivalKidney transplantationLong-term outcomesNomogramSerum glucose-regulated protein 78 (GRP78)

Identifiers

PMID39572634
PMCPMC11582791

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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.