Remote Self‐Report Assessment of Walking Impairment in Peripheral Artery Disease

Simple self-report questions reflected walking ability of patients with peripheral artery disease and may be useful for remote assessment.

Authors

Institutions

Publication Details

Journal
Journal of the American Heart Association
Published
2026-03-04
DOI
https://doi.org/10.1161/jaha.125.046066
Primary Topic
Peripheral Artery Disease Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Remote Self‐Report Assessment of Walking Impairment in Peripheral Artery Disease

Stuart A. Best, Cindy Sealey, Marjan Mosalman Haghighi, Dr Yorgi Mavros et al.
Journal of the American Heart Association
Peripheral Artery Disease Management
article

Remote Self‐Report Assessment of Walking Impairment in Peripheral Artery Disease

Stuart A. Best, Cindy Sealey, Marjan Mosalman Haghighi, Dr Yorgi Mavros, Frank Quigley, Shivshankar Thanigaimani, Nicola W. Burton, Yian Noble, Chanika Alahakoon, Mathew Hollings, John Walsh, Jonathan Golledge, Alkira Deren, Richard Norman, Paul Norman, Chloe Salisbury, Belinda Parmenter, Jess Suna, Rhondda Jones, Jenna Pinchback
article en

Abstract

Simple self-report questions reflected walking ability of patients with peripheral artery disease and may be useful for remote assessment.

Journal of the American Heart AssociationVol. 15(6)
Griffith University (AU), University of the Sunshine Coast (AU), Townsville Hospital (AU), UNSW Sydney (AU), James Cook University (AU)
Openalex Percentile: Top 34%
Peripheral Artery Disease Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.