Evidence map›Paper›PMID 36074178›Full record

ArticleWiener klinische Wochenschrift2024

Predictors of walking capacity in patients with peripheral arterial disease.

Hazal Yakut, Didem Karadibak, Sadık Kıvanç Metin, Dündar Özalp Karabay, Tuğra Gençpınar

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Article in Wiener klinische Wochenschrift, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Review
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.

Hazal YakutFaculty of Health Sciences, Department of Physiotherapy and Rehabilitation, Eskişehir Osmangazi University, Eskişehir, Turkey. fzthazalyakut@outlook.com.ORCID http://orcid.org/0000-0002-5528-1036
Didem KaradibakFaculty of Physical Therapy and Rehabilitation, Dokuz Eylul University, Izmir, Turkey.
Sadık Kıvanç MetinDepartment of Cardiovascular Surgery, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey.
Dündar Özalp KarabayDepartment of Cardiovascular Surgery, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey.
Tuğra GençpınarDepartment of Cardiovascular Surgery, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWalking capacity is severely impaired in patients with peripheral arterial disease (PAD). Given the prognostic importance of walking capacity, the level of evidence on possible predictors of walking capacity in patients with PAD is insufficient.

aimsTo investigate the predictors of walking capacity in patients with PAD.

methodsA total of 51 patients with PAD were included in this cross-sectional study. Walking capacity was determined with 6‑minute walk test (6MWT) and walking impairment questionnaire (WIQ). Functional mobility was assessed with repeated sit-to-stand test (RSS) and timed up and go test (TUG). Hand-held dynamometer was used to measurement lower extremity muscle strength. Balance was assessed with Biodex Balance System-limit of stability (BBS-LOS). Fatigue was evaluated with fatigue impact scale (FIS).

resultsThere was a strong correlation between 6MWT walking distance and WIQ, two methods of assessing walking capacity (r = 0.835 p < 0.001). The 6MWT was correlated with RSS, TUG, lower extremity muscle strength, BBS-LOS and FIS. The WIQ was correlated with RSS, TUG, BBS-LOS and FIS. The RSS and FIS were independent determinants of the 6MWT and WIQ, accounting for 68% and 57% of the variance, respectively.

conclusionThis study demonstrated that functional mobility and fatigue were independent predictors of walking capacity in patients with PAD. Both subjective and objective measurement methods can be used for determining the level of walking capacity in the patients with PAD.

Indexed as

Peripheral Arterial DiseasePostural BalanceCross-Sectional StudiesFatigueHumansTime and Motion StudiesWalkingBalanceFatigueFunctional mobilityPeripheral arterial diseaseWalking distance

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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.