Evidence map›Paper›PMID 27240430›Full record

Trial reportArchives of physical medicine and rehabilitation2016

Combining Fast-Walking Training and a Step Activity Monitoring Program to Improve Daily Walking Activity After Stroke: A Preliminary Study.

Kelly A Danks, Ryan Pohlig, Darcy S Reisman

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Archives of physical medicine and rehabilitation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 8 pooled it
4.3field-weighted citation impact, top 6% 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

33 citing papers in PubMed, 8 syntheses or guidelines pooled it, 61 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Trial
  10. Trial
  11. Trial
  12. Trial
  13. Trial
  14. Trial
  15. Trial
  16. Trial
  17. Article
  18. Article
  19. Co-design of a walking activity intervention for stroke survivors.Frontiers in rehabilitation sciences · 2024
    Article
  20. Article
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

3 authors at 1 institution in 1 country.

Kelly A DanksDepartment of Physical Therapy, University of Delaware, Newark, DE.
Ryan PohligBiostatistics Core Facility, University of Delaware, Newark, DE.
Darcy S ReismanDepartment of Physical Therapy, University of Delaware, Newark, DE; Biomechanics and Movement Science Program, University of Delaware, Newark, DE. Electronic address: dreisman@udel.edu.
University of Delaware · US

Funding

INTERVENTIONS TO IMPROVE PHYSICAL ACTIVITY AFTER STROKER21HD071042 · NICHD · UNIVERSITY OF DELAWARE · PI REISMAN, DARCY S. · 2012 to 2013
$411k
NICHD NIH HHS R21 HD071042
6 · The paper itself

Abstract

objectivesTo determine preliminary efficacy and to identify baseline characteristics predicting who would benefit most from fast walking training plus a step activity monitoring program (FAST+SAM) compared with fast walking training (FAST) alone in persons with chronic stroke.

designRandomized controlled trial with blinded assessors.

settingOutpatient clinical research laboratory.

participantsIndividuals (N=37) >6 months poststroke.

interventionsSubjects were assigned to either FAST, which was walking training at their fastest possible speed on the treadmill (30min) and overground 3 times per week for 12 weeks, or FAST+SAM. The step activity monitoring program consisted of daily step monitoring with an activity monitor, goal setting, and identification of barriers to activity and strategies to overcome barriers.

main outcome measuresDaily step activity metrics (steps/day [SPD], time walking per day), walking speed, and 6-minute walk test (6MWT) distance.

resultsThere was a significant effect of time for both groups, with all outcomes improving from pre- to posttraining (all P values <.05). The FAST+SAM was superior to FAST for 6MWT (P=.018), with a larger increase in the FAST+SAM group. The interventions had differential effectiveness based on baseline step activity. Sequential moderated regression models demonstrated that for subjects with baseline levels of step activity and 6MWT distances that were below the mean, the FAST+SAM intervention was more effective than FAST (1715±1584 vs 254±933 SPD; P<.05 for overall model and ΔR(2) for SPD and 6MWT).

conclusionsThe addition of a step activity monitoring program to a fast walking training intervention may be most effective in persons with chronic stroke who have initial low levels of walking endurance and activity. Regardless of baseline performance, the FAST+SAM intervention was more effective for improving walking endurance.

Indexed as

AccelerometryAgedFemaleHumansMaleMiddle AgedPatient Care PlanningPhysical EnduranceSingle-Blind MethodStroke RehabilitationWalkingWalk TestMotor activityRehabilitationStrokeWalking

Identifiers

PMID27240430
PMCPMC5002381
OpenAlexW2403499010

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.