Evidence map›Paper›PMID 42569269›Full record

ArticleKidney international reports2026

Preoperative Serum Alkaline Phosphatase Predicts Arteriovenous Fistula Maturation Failure.

Tian Si, Hanjie Yu, Zhuoyan Shen, Guangqi Chen, Zhaoqiang Shi, Shijie Wu, Saijie Ma, Beibei Ren, Hongchen Gu, Dayong Hu and 1 more

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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.

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

11 authors.

Tian SiDepartment of Nephrology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Hanjie YuDepartment of Nephrology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Zhuoyan ShenDepartment of Nephrology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Guangqi ChenDepartment of Nephrology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Zhaoqiang ShiDepartment of Nephrology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Shijie WuDepartment of Nephrology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Saijie MaDepartment of Nephrology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Beibei RenDepartment of Nephrology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Hongchen GuDepartment of Nephrology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Dayong HuDepartment of Nephrology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Changbin LiDepartment of Nephrology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Arteriovenous fistula (AVF) maturation failure remains a major obstacle for hemodialysis, yet its underlying molecular drivers are poorly characterized. The identification of key regulatory genes and clinically applicable biomarkers is critical for improving preoperative risk assessment. Methods: We employed an integrative multiomics approach to unbiasedly identify hub genes. Transcriptomic datasets (GSE220796 and GSE119296) were analyzed using weighted gene coexpression network analysis (WGCNA) and machine learning. Cellular localization was defined via single-cell RNA-sequencing (GSE250469). Findings were validated in a prospective clinical cohort ( Results: The tissue-nonspecific alkaline phosphatase ( Conclusion: Our study identifies

Indexed as

alkaline phosphataseangiogenesisarteriovenous fistulabiomarkersmachine learningsingle-cell RNA sequencing analysis

Identifiers

PMID42569269
PMCPMC13449380

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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 Socratic graph.