Evidence map›Paper›PMID 37299849›Full record

ArticleSensors (Basel, Switzerland)2023

The Analytical and Clinical Validity of the pfSTEP Digital Biomarker of the Susceptibility/Risk of Declining Physical Function in Community-Dwelling Older Adults.

Alexander Schoenfelder, Brad Metcalf, Joss Langford, Afroditi Stathi, Max J Western, Melvyn Hillsdon

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
7.3field-weighted citation impact, top 3% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Cross-sectional associations between patterns and composition of upright and stepping events with physical function: insights from The Maastricht Study.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2024
    Article
  6. 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

6 authors at 3 institutions in 1 country.

Alexander SchoenfelderInstitute for Data Science and AI, University of Exeter, Exeter EX4 4QJ, UK.ORCID 0009-0009-1647-5311
Brad MetcalfSports and Health Sciences, University of Exeter, Exeter EX1 2LU, UK.
Joss LangfordSports and Health Sciences, University of Exeter, Exeter EX1 2LU, UK.ORCID 0000-0002-3204-5866
Afroditi StathiSchool of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham B15 2TT, UK.ORCID 0000-0003-2162-777X
Max J WesternDepartment of Health, University of Bath, Bath BA2 7AY, UK.ORCID 0000-0003-1107-8498
Melvyn HillsdonSports and Health Sciences, University of Exeter, Exeter EX1 2LU, UK.
University of Exeter · GBUniversity of Bath · GBUniversity of Birmingham · GB

Funding

Medical Research Council MC_PC_18047
6 · The paper itself

Abstract

Measures of stepping volume and rate are common outputs from wearable devices, such as accelerometers. It has been proposed that biomedical technologies, including accelerometers and their algorithms, should undergo rigorous verification as well as analytical and clinical validation to demonstrate that they are fit for purpose. The aim of this study was to use the V3 framework to assess the analytical and clinical validity of a wrist-worn measurement system of stepping volume and rate, formed by the GENEActiv accelerometer and GENEAcount step counting algorithm. The analytical validity was assessed by measuring the level of agreement between the wrist-worn system and a thigh-worn system (activPAL), the reference measure. The clinical validity was assessed by establishing the prospective association between the changes in stepping volume and rate with changes in physical function (SPPB score). The agreement of the thigh-worn reference system and the wrist-worn system was excellent for total daily steps (CCC = 0.88, 95% CI 0.83-0.91) and moderate for walking steps and faster-paced walking steps (CCC = 0.61, 95% CI 0.53-0.68 and 0.55, 95% CI 0.46-0.64, respectively). A higher number of total steps and faster paced-walking steps was consistently associated with better physical function. After 24 months, an increase of 1000 daily faster-paced walking steps was associated with a clinically meaningful increase in physical function (0.53 SPPB score, 95% CI 0.32-0.74). We have validated a digital susceptibility/risk biomarker-pfSTEP-that identifies an associated risk of low physical function in community-dwelling older adults using a wrist-worn accelerometer and its accompanying open-source step counting algorithm.

Indexed as

AccelerometryWearable Electronic DevicesIndependent LivingLower ExtremityWalkingWristaccelerometeranalytical validitybiomarkerclinical validityphysical activitystep countstepping ratestepping volumeverificationwalking

Identifiers

PMID37299849
PMCPMC10255880
OpenAlexW4380225208

What OpenQuestion holds

Textmetadata
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.