Evidence map›Paper›PMID 40666053›Full record

SynthesisFrontiers in endocrinology2025

Kidney transplantation with preformed diabetic nephropathy kidney: review of pathological changes and clinical outcomes.

Shujing Li, Yang Wang, Beike Chen, Maozhi Tang, Keqin Zhang, Linguo Shen

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in endocrinology, 2025. 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

6 authors.

Shujing LiDepartment of Urinary Nephropathy Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yang WangDepartment of Clinical Laboratory, The First Naval Hospital of Southern Theater Command, Zhanjiang, China.
Beike ChenDepartment of Urinary Nephropathy Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Maozhi TangDepartment of Urinary Nephropathy Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Keqin ZhangDepartment of Urinary Nephropathy Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Linguo ShenDepartment of Urinary Nephropathy Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Kidney transplantation from expanded-criteria donors represents an effective approach to alleviate organ shortages. The feasibility for transplantation of donor kidneys with preformed diabetic nephropathy (DN) has not been extensively investigated. Search strategy: We performed a literature review to explore the pathological changes and clinical outcomes of kidney transplantation using preformed DN kidney. A systematic and comprehensive search was conducted from the inception to June 13, 2024. Results: Data from eight articles encompassing 103 cases were included for analysis. The pooled proportions of stable, progressive, and reversed DN-related pathological change were 0.66 (95% CI 0.56-0.77, I Conclusion: A majority of transplantations use donor kidneys with preformed DN exhibit acceptable renal pathological changes and graft survival. However, post-transplant hyperglycemia may adversely affect the pathological progression of the kidneys, particularly in cases with long-term follow-up.

Indexed as

Diabetic NephropathiesKidneyKidney TransplantationGraft SurvivalHumansTissue DonorsTreatment Outcomediabetic nephropathydonorpost-transplant hyperglycemiapreformed diabetic nephropathytransplantation

Identifiers

PMID40666053
PMCPMC12259419

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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.