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Record W1759155803 · doi:10.4137/cmamd.s24423

Safety and Feasibility of a KineSpring Knee System for the Treatment of Osteoarthritis: A Case Series

2015· article· en· W1759155803 on OpenAlexaff
David Hayes, C. Waller, Chuan Silvia Li, Christopher Vannabouathong, Sheila Sprague, Mohit Bhandari

Bibliographic record

VenueClinical Medicine Insights Arthritis and Musculoskeletal Disorders · 2015
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsMcMaster University Medical CentreMcMaster University
Fundersnot available
KeywordsMedicineOsteoarthritisConservative treatmentTotal knee arthroplastyArthroplastyKnee painSurgeryPhysical therapyAlternative medicine

Abstract

fetched live from OpenAlex

The treatment gap between conservative management and total knee arthroplasty may leave patients with moderate cases of knee osteoarthritis (OA) without an ideal treatment option. The KineSpring(®) Knee Implant System may be a viable treatment option to fill the treatment gap for patients with knee OA who are not willing or inappropriate candidates for total knee arthroplasty, yet do not demonstrate relief with conservative treatments. This current paper reports a series of patients who received the KineSpring System and were followed for five years. Twelve patients were included in the case series. All 12 patients were diagnosed with symptomatic OA of the medial compartment of the knee. Pain and functional problems associated with OA improved with treatment using the KineSpring System. Furthermore, these improvements were seen over the course of five years. The findings of this study show the KineSpring System as a promising intervention for early-onset OA and warrant further investigation regarding its effectiveness.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.978
Threshold uncertainty score0.725

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 studies0.0000.001
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 head0.046
GPT teacher head0.339
Teacher spread0.293 · 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 designOther design
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

Citations14
Published2015
Admission routes1
Has abstractyes

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