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Overuse Tendon Injuries:

2000· article· en· W1985201256 on OpenAlexaff
Karim M. Khan, Jill Cook

Bibliographic record

VenueSports Medicine and Arthroscopy Review · 2000
Typearticle
Languageen
FieldMedicine
TopicTendon Structure and Treatment
Canadian institutionsUniversity of British ColumbiaPublic Safety Canada
Fundersnot available
KeywordsMedicineTendinopathyTendonLimitingTendinitisPhysical therapySurgery

Abstract

fetched live from OpenAlex

Summary: Failure to appreciate how pain arises in tendinopathies may be limiting medical progress. It is assumed that tendon overuse causes inflammation, and thus pain. We critically review the inflammatory model of pain in tendinopathy and find that it does not withstand scrutiny. The generally proposed alternative model is that of mechanical discontinuity of collagen fibers, but this as well is inconsistent with numerous surgical observations. We review data suggesting that pain of tendinopathy may be largely due to yet unidentified biochemical factors activating peritendinous nociceptors when they are exposed to the environs as a result of tendon overuse injury. The noxious agent could include matrix substances and minor collagens. Glutamate can mediate pain, and this is present in higher concentrations in subjects with Achilles tendinopathy than in controls. Chondroitin sulphate is another candidate. Examining alternative models of pain, particularly a mixed biochemical-mechanical model, may allow significant progress in management of these troublesome conditions.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.923
Threshold uncertainty score0.988

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)0.0130.000

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 head0.015
GPT teacher head0.321
Teacher spread0.306 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations82
Published2000
Admission routes1
Has abstractyes

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