Evidence map›Paper›PMID 41168827›Full record

ArticleEuropean journal of medical research2025

Development of a prediction model to estimate short- and long-term clinical outcomes in arteriovenous grafts for hemodialysis patients.

Bin Zhao, Shen Zhan, Lihong Zhang, Hui Wang, Gang Fu, Shanshan Guo, Yuzhu Wang

Abstract read
In one paragraph

Article in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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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

2 citing papers in PubMed.

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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

7 authors.

Bin ZhaoDepartment of Nephrology, Beijing Haidian Hospital (Haidian Section of Peking University Third Hospital), No.29 Zhongguancun Street, Beijing, 100080, China.
Shen ZhanDepartment of Nephrology, Beijing Haidian Hospital (Haidian Section of Peking University Third Hospital), No.29 Zhongguancun Street, Beijing, 100080, China.
Lihong ZhangDepartment of Nephrology, Beijing Haidian Hospital (Haidian Section of Peking University Third Hospital), No.29 Zhongguancun Street, Beijing, 100080, China.
Hui WangDepartment of Nephrology, Sinopharm North Hospital, Baotou, 014000, China.
Gang FuDepartment of Nephrology, Beijing Haidian Hospital (Haidian Section of Peking University Third Hospital), No.29 Zhongguancun Street, Beijing, 100080, China.
Shanshan GuoDepartment of Nephrology, Beijing Haidian Hospital (Haidian Section of Peking University Third Hospital), No.29 Zhongguancun Street, Beijing, 100080, China.
Yuzhu WangDepartment of Nephrology, Beijing Haidian Hospital (Haidian Section of Peking University Third Hospital), No.29 Zhongguancun Street, Beijing, 100080, China. 18701387950@163.com.

Funding

Beijing Haidian Hospital important project KYZ2024001
6 · The paper itself

Abstract

backgroundThe prognosis and quality of life for patients undergoing hemodialysis (HD) are significantly compromised by dysfunctions in arteriovenous grafts (AVG). This study aimed to develop and validate a risk prediction model for factors influencing both short- and long-term primary patency rates in HD patients with AVG.

methodsThe single-center retrospective study comprised 354 HD patients who had undergone AVG creation. Using Kaplan-Meier survival analysis and Cox regression models, we evaluated the patency rates of AVG and identified associated independent risk factors based on retrospectively collected clinical data.

resultsThe primary patency rates of the patients with AVG at 6 months, 1 year, and 2 years were 82.49%, 50%, and 16.95%, respectively. The multivariate Cox regression analysis revealed that the brachial arterial blood flow and draining venous diameter at 1 month post-operatively were independent predictors of newly created AVG patency at 6 months. Furthermore, at 1 month post-operatively, the brachial artery blood flow, draining vein diameter, and history of central venous catheter (HR 0.480 (0.281, 0.820), p = 0.007) were independent risk predictors for failure of newly created AVG at 12 months.

conclusionThis study revealed that these parameters, including brachial arterial blood flow, draining vein diameter, and history of central venous catheter, could be applied to predict short- and long-term risks for AVG patency loss.

Indexed as

Arteriovenous Shunt, SurgicalRenal DialysisAdultAgedBrachial ArteryFemaleHumansKidney Failure, ChronicMaleMiddle AgedPrognosisRetrospective StudiesRisk FactorsTreatment OutcomeVascular PatencyArteriovenous graftHemodialysisPatency ratePrediction modelPrognosis

Identifiers

PMID41168827
PMCPMC12574284

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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.