Evidence map›Paper›PMID 28647194›Full record

ArticleJournal of vascular surgery2017

Prediction of 6-minute walk performance in patients with peripheral artery disease.

Xi Chen, Julie A Stoner, Polly S Montgomery, Ana I Casanegra, Federico Silva-Palacios, Sixia Chen, Amanda E Janitz, Andrew W Gardner

Open access · bronzeAbstract read
In one paragraph

Article in Journal of vascular surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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

15 citing papers in PubMed, 28 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Xi ChenDepartment of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, Okla. Electronic address: xi-chen@ouhsc.edu.
Julie A StonerDepartment of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, Okla.
Polly S MontgomeryDepartment of Geriatric Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, Okla.
Ana I CasanegraCardiovascular Section, Department of Internal Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, Okla.
Federico Silva-PalaciosCardiovascular Section, Department of Internal Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, Okla.
Sixia ChenDepartment of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, Okla.
Amanda E JanitzDepartment of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, Okla.
Andrew W GardnerDepartment of Geriatric Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, Okla; Department of Physical Medicine and Rehabilitation, Penn State College of Medicine, Hershey, Pa.
University of Oklahoma Health Sciences Center · US

Funding

Tracking and Evaluation CoreU54GM104938 · NIGMS · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI TIMOTHY M VANWAGONER · 2013 to 2026
$68.2M
Trt. of Primary Hyperaldosteronism w/ACE Inhibitors &Angiotension Rec. BlockersM01RR014467 · NCRR · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI RATHBUN, SUMAN W · 2001 to 2007
$10.4M
Home-based vs. Supervised Exercise for ClaudicantsR01AG024296 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI GARDNER, ANDREW W · 2006 to 2010
$1.4M
NCRR NIH HHS M01 RR014467NIA NIH HHS R01 AG024296NIGMS NIH HHS U54 GM104938
6 · The paper itself

Abstract

backgroundPeripheral artery disease (PAD) is a highly prevalent disease that impairs walking ability. Walking tests, such as the 6-minute walk test (6MWT) and 4-meter walk test, are commonly used to assess exercise endurance and ambulatory function over a short distance, respectively. The 6MWT performance is predictive of PAD severity and disease outcomes, but it is not feasible in many clinical settings because it requires a long walkway to serve as the test route and lengthens clinic visits. As an alternative, the 4-meter walk test is convenient, inexpensive, and repeatable, but whether it accurately predicts endurance performance in the long-distance 6MWT is not known. The goal of this study was to develop a statistical model to predict 6MWT gait speed from 4-meter walk test results and clinical characteristics among patients with PAD.

methodsMeasures of 6MWT gait speed were derived from 183 patients with symptomatic PAD who were evaluated at the University of Oklahoma Health Sciences Center (2004-2012). The testing procedures and research personnel remained constant throughout the duration of the study. Independent variables included demographic and clinical information and 4-meter walk test gait speed. Fivefold cross validation and manual backward selection were used for model selection. Adjusted R

resultsA total of 183 people (54% male; mean age, 65 [standard deviation (SD), 10] years) with moderate PAD severity (ankle-brachial index [ABI]; mean, 0.72 [SD, 0.24]) performed the walking tests. Participants covered an average distance of 335 (SD, 97) m distance in the 6MWT. The 4-meter walk gait speed, ABI, and dyspnea were independent predictors of 6MWT speed in the multivariate model (adjusted R

conclusionsSlower 4-meter walking speed, lower ABI, and presence of dyspnea all predict slower 6MWT gait speed, which corresponds to shorter 6MWT distance. Prediction of group means is reasonably precise; however, prediction of individual patient 6MWT performance is imprecise relative to between-group differences that are clinically important.

Indexed as

Exercise ToleranceWalkingWalk TestAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHumansLinear ModelsMaleMiddle AgedModels, StatisticalMultivariate AnalysisOklahomaPeripheral Arterial Disease

Identifiers

PMID28647194
PMCPMC5612883
OpenAlexW2640075313

What OpenQuestion holds

Textmetadata
LicenceTDM
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.