MétaCan
Menu
Back to cohort
Record W2992355311 · doi:10.1016/j.jor.2019.11.049

Correlation between hip osteoarthritis and the level of physical activity as measured by wearable technology and patient-reported questionnaires

2019· article· en· W2992355311 on OpenAlexaff
Mina W. Morcos, Matthew G. Teeter, Lyndsay Somerville, Brent A. Lanting

Bibliographic record

VenueJournal of Orthopaedics · 2019
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicinePhysical therapyPhysical activityCorrelationOsteoarthritisProspective cohort studyPositive correlationWearable computerPhysical medicine and rehabilitationInternal medicinePathologyAlternative medicine

Abstract

fetched live from OpenAlex

This study evaluates physical activity in patients with advanced hip OA using Fitbit and whether a correlation exists between the number of steps taken per day (SPD) and the reported outcome. METHODS: 122 patients were prospective enrolled. Patient-reported outcomes were collected. Patients were asked to wear a Fitbit for 24 h a day on seven consecutive days. RESULT: The mean number of SPD was 5721 ± 3920. The UCLA, HHS and SF-12 PCS demonstrated a statistically significant positive correlation with the SPD. CONCLUSION: Wearable technology is reliable in objectively measuring the level of physical activity in hip OA and correlates with reported outcomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.260
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations25
Published2019
Admission routes1
Has abstractno

Explore more

Same venueJournal of OrthopaedicsSame topicOsteoarthritis Treatment and MechanismsFrench-language works237,207