Evidence map›Paper›PMID 41994818›Full record

ArticleCureus2026

Dialysis Access-Associated Steal Syndrome in a Hemodialysis Patient: A Case Report.

Renato Abu Hana, Ruben G Ortiz Cordero, Oswaldo A Guevara Tirado, Grit A Adler, Vinicius Adami Vayego Fornazari

Abstract readCase Reports
In one paragraph

Article in Cureus, 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.

Renato Abu HanaDepartment of Radiology, University of Florida College of Medicine - Jacksonville, Jacksonville, USA.
Ruben G Ortiz CorderoDepartment of Radiology, University of Florida College of Medicine - Jacksonville, Jacksonville, USA.
Oswaldo A Guevara TiradoDepartment of Radiology, University of Florida College of Medicine - Jacksonville, Jacksonville, USA.
Grit A AdlerDepartment of Radiology, University of Florida College of Medicine - Jacksonville, Jacksonville, USA.
Vinicius Adami Vayego FornazariDepartment of Radiology, University of Florida College of Medicine - Jacksonville, Jacksonville, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dialysis access-associated steal syndrome (DASS) is an uncommon but potentially limb-threatening complication of hemodialysis arteriovenous access. DASS results from preferential shunting of arterial blood into the low-resistance access circuit, causing distal hypoperfusion and symptoms ranging from hand coolness and paresthesias to skin ulceration and tissue loss. We discuss the case of a 32-year-old patient with end-stage renal disease on hemodialysis who presented with prolonged bleeding after dialysis from their right upper-extremity arteriovenous fistula. The patient then underwent fistulography with endovascular treatment of venous outflow pathology and pseudoaneurysms. One month later, the patient developed worsening dialysis-associated forearm/hand pain and paresthesias. Repeat angiography demonstrated poor anterograde distal forearm perfusion with flow reversal into the fistula, absence of proximal arterial inflow stenosis, and restoration of distal perfusion with venous outflow compression, supporting the diagnosis of DASS. This case highlights the importance of recognizing dialysis-associated ischemic symptoms while reviewing a mechanism-based diagnostic approach used to guide management.

Indexed as

arteriovenous fistula (avf)dialysis access complicationsdialysis access steal syndromefistulographyhemodialysis vascular access

Identifiers

PMID41994818
PMCPMC13081035

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.