Evidence map›Paper›PMID 42083154›Full record

SynthesisThe journal of vascular access2026

A meta-analysis of the hemodynamic and echocardiographic changes following arteriovenous fistula ligation in chronic kidney disease patients.

Mahmoud Einieh, Jose Matias Zaldumbide Diaz, Vitor Rezende, Mohammed Alam, Iuri Ferreira Felix

Abstract readMeta-AnalysisSystematic ReviewReview
In one paragraph

Synthesis in The journal of vascular access, 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

5 authors.

Mahmoud EiniehUniversity of Debrecen, Debrecen, Hungary.ORCID 0009-0002-4240-9376
Jose Matias Zaldumbide DiazUniversidad San Francisco de Quito, Quito, Ecuador.ORCID 0009-0008-8850-6095
Vitor RezendeSouza Marques University, Rio De Janeiro, Brazil.ORCID 0009-0002-9661-4543
Mohammed AlamRoyal College of Surgeons in Ireland, Dublin, Ireland.
Iuri Ferreira FelixDepartment of Medicine, Mayo Clinic Hospital-Rochester, Rochester, MN, USA.ORCID 0000-0002-9613-2563

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arteriovenous fistulas (AVFs) are the preferred method for establishing long-term vascular access in patients undergoing hemodialysis; however, high-flow AVFs may increase cardiovascular strain after kidney transplantation, often necessitating fistula closure. Currently, no established guideline exists for managing high-flow fistulas in post-transplant patients with stable kidney function, and available studies report heterogeneous results with small sample sizes and different methodologies. We performed a systematic search of PubMed, Cochrane, and Embase up to December 2024 for observational studies and randomized controlled trials comparing AVF ligation versus maintenance in patients with end-stage kidney disease. The meta-analysis was conducted using Cochrane's RevMan software using mean difference (MD) and 95% confidence interval. Twelve studies including 844 patients were analyzed, of whom 409 (48%) underwent AVF ligation, with follow-up ranging from 3 to 62.5 months. AVF ligation was associated with a significant reduction in left ventricular mass index (MD -10.92 g/m

Indexed as

Arteriovenous Shunt, SurgicalEchocardiographyHemodynamicsRenal DialysisRenal Insufficiency, ChronicAgedFemaleHumansLigationMaleMiddle AgedPredictive Value of TestsRisk FactorsTime FactorsTreatment OutcomeVentricular Function, LeftArteriovenous fistulablood pressureend-stage renal diseasehypertensionshunt

Identifiers

PMID42083154
PMCPMC13547687

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.