MétaCan
Menu
Back to cohort
Record W2517101020 · doi:10.1097/bpo.0000000000000857

Can a Made-for-Consumer Activity Monitor Assess Physical Activity in Adolescents and Young Adults After Lower Extremity Limb Salvage for Osseous Tumors?

2016· article· en· W2517101020 on OpenAlexaboutno aff
Kenneth R. Gundle, Stephanie Punt, Tressa Mattioli-Lewis, Ernest U. Conrad

Bibliographic record

VenueJournal of Pediatric Orthopaedics · 2016
Typearticle
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePopulationPhysical therapyActivity monitorYoung adultPhysical activityLower limbPhysical medicine and rehabilitationGerontologySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: The purpose of this study was to test the validity of a consumer-oriented activity monitor in adolescents and young adults undergoing limb salvage for primary bone malignancies. METHODS: A cross-sectional population of participants with an average age of 16 (range 12 to 22) years produced 472 days of activity monitoring during 25 evaluations periods alongside patient-reported outcome measures. RESULTS: Average daily steps ranged from 557 to 12,756 (mean=4711) and was moderately associated with the short-form (SF) 36 physical component subscale (r=0.46, P=0.04) as well as the SF6D health state utility measure (r=0.48, P=0.04), but not the SF36 mental component subscale (P=0.66) or Toronto extremity salvage score (P=0.07). Time from surgery was strongly correlated with average daily steps (r=0.7, P<0.001). CONCLUSIONS: A made-for-consumer activity monitor provided real-world data regarding the outcome of adolescent and young adult limb salvage, and evidence of validity in this population. Such lower cost, user-friendly devices may facilitate assessment of free-living activity and allow novel comparisons of treatment strategies. LEVEL OF EVIDENCE: Level II-diagnostic.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.072
Threshold uncertainty score0.795

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.283
Teacher spread0.265 · 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 teacher head, 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

Citations12
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Pediatric OrthopaedicsSame topicSarcoma Diagnosis and TreatmentFrench-language works237,207