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Record W4406964024

Management of persistent patellofemoral pain conditions using a tricompartmental offloading knee brace: a case series.

2024· article· en· W4406964024 on OpenAlexaff
Jonathan Okrainetz, Nathan Boon-van Mossel

Bibliographic record

VenuePubMed · 2024
Typearticle
Languageen
FieldEngineering
TopicLower Extremity Biomechanics and Pathologies
Canadian institutionsUniversity of CalgaryRoyal College of Physicians and Surgeons of Canada
Fundersnot available
KeywordsMedicineKnee painBraceSeries (stratigraphy)BioinformaticsPhysical medicine and rehabilitationComputer sciencePhysical therapyPathologyAlternative medicineOsteoarthritisBiology
DOInot available

Abstract

fetched live from OpenAlex

Objective: To describe the utility of a tricompartmental offloading knee brace as an adjunct intervention for managing persistent PFP conditions. Clinical features: Three cases of active adult females with persistent PFP following non-response to conventional and guideline aligned management strategies are presented. Intervention and outcomes: Patients were managed using a tricompartmental offloading knee brace alongside individualized exercise programs for up to 12 weeks. Subjective and objective measures of pain and function were measured at three distinct time points. Each patient reported decreased pain, increased activity tolerance, and demonstrated improvements in both strength and functional performance over the course of the intervention period. Summary: The use of tricompartmental offloading knee bracing alongside exercise therapy may be effective for the management of persistent PFP and should be considered for active adult females if unresponsive to both conventional and guideline aligned treatments.

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)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.039
GPT teacher head0.230
Teacher spread0.191 · 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 designCase report
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

Citations0
Published2024
Admission routes1
Has abstractyes

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