Evidence map›Paper›PMID 40463643›Full record

ArticleCanadian geriatrics journal : CGJ2025

Step-Count Distribution as an Indicator of Walking Reserve in People with Gait Vulnerabilities.

Ahmed Abou-Sharkh, Suzanne N Morin, Kedar K V Mate, Nancy E Mayo

Abstract read
In one paragraph

Article in Canadian geriatrics journal : CGJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

4 authors.

Ahmed Abou-SharkhCentre of Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal.
Suzanne N MorinCentre of Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal.
Kedar K V MateCentre of Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal.
Nancy E MayoCentre of Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Steps per day can provide a lot of information about the activity of the average person whose main source of activity is derived from walking. This study looks at the distribution of step-count data to identify different subgroups of people which could be used to indicate walking reserve. Methods: A time series design of a secondary data analysis was conducted to track the variability of daily step count for 44 seniors post-fracture. The mean age was 75.8 years (SD: 9.75). The full percentile distribution was used in a cluster analysis and group-based trajectory analysis was used for the longitudinal data. Ordinal regression was used to identify factors associated with cluster membership. Results: Four clusters best represented the distribution of reserve in this sample, hypothesized to be defined as the difference between the median and 90 Conclusions: The median and 90

Indexed as

cluster analysisfractureseniorssteps per daywalking reserve

Identifiers

PMID40463643
PMCPMC12094092

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Registered trials

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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.