Evidence map›Paper›PMID 38036802›Full record

ArticleArchives of osteoporosis2023

Cluster analysis to identify the profiles of individuals with compromised bone health versus unfortunate wrist fractures within the Canadian Longitudinal Study of Aging (CLSA) database.

Joshua I Vincent, Joy C MacDermid, Carol W Bassim, Pasqualina Santaguida

Open access · hybridAbstract read
In one paragraph

Article in Archives of osteoporosis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. 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

4 authors at 4 institutions in 1 country.

Joshua I VincentSchool of Physical Therapy, University of Western Ontario, 1151 Richmond St, London, ON, N6A 3K7, Canada. vincenj@mcmaster.ca.
Joy C MacDermidSchool of Physical Therapy, University of Western Ontario, 1151 Richmond St, London, ON, N6A 3K7, Canada.
Carol W BassimDepartment of Research Methods, Evidence & Impact, McMaster University, 1280 Main St W, Hamilton, ON, L8S 4L8, Canada.
Pasqualina SantaguidaDepartment of Research Methods, Evidence & Impact, McMaster University, 1280 Main St W, Hamilton, ON, L8S 4L8, Canada.
Hand and Upper Limb Clinic · CAImpact · CAMcMaster University · CASt Joseph's Health Care · CA

Funding

CIHR 428539
6 · The paper itself

Abstract

We used cluster analysis to determine the profiles of individuals who sustained wrist fractures. We found two groups: (1) young and active and (2) older and less active. This information may be used to identify individuals who require further bone health interventions to optimize healthy aging.

introductionDistal radial fractures (DRF) are the most common of all fractures, with 6% of males and 33% of females having one at some point in their lifetime. We hypothesize that DRF consists of two subpopulations: one with compromised bone health that is early in the osteoporosis (OP) trajectory and another which are active and healthy and suffer a misfortune fracture due to their high activity levels or risk-taking behaviors. The latter is likely to recover with a minimal disability, while the former may signal a negative health trajectory of disability and early mortality.

objectiveTo determine the profiles of individuals who sustained wrist fractures using cluster analysis within the Comprehensive Cohort of the Canadian Longitudinal Study on Aging (CLSA) database considering factors that reflect bone health and activity levels.

methodsWe included all the individuals who had a wrist fracture within the CLSA comprehensive cohort of the database (n = 968). The baseline data was used for this analysis. A 2-step cluster analysis was used to identify profiles that were both statistically and clinically meaningful. Variables that were used in the cluster analysis include demographic variables, physical activity status indicators, general health indicators, mobility indicators, bone health indicators, comorbid conditions, and lifestyle factors.

resultsWe were able to identify two distinct profiles that were statistically and clinically meaningful confirming our hypothesis. One cluster included a predominantly younger cohort, who are physically active, with less comorbid conditions, better bone health, and better general health, while the opposite was true of the first cohort.

conclusionWe were able to identify two clusters-a healthy profile and a bone health compromised profile. This information may be used to identify the subgroup of people who should be targeted in the future for more intensive preventive health services to optimize healthy aging.

Indexed as

Fractures, BoneWrist FracturesBone DensityCanadaFemaleHumansLongitudinal StudiesMaleAgingBone health profilesCLSACluster analysisDRF

Identifiers

PMID38036802
PMCPMC10689536
OpenAlexW4389241598

What OpenQuestion holds

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LicenceCC BY
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.