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Record W4383070464 · doi:10.1503/cjs.008321

Evidence-based treatment of Achilles tendon rupture

2023· article· en· W4383070464 on OpenAlexaffvenue
Dan Cohen, Émilie Sandman, Neil Saran, Brad Petrisor, Mohit Bhandari, Andrea Veljkovic, Anna Leucht, Emilie-Ann Downey, Paul A. Martineau

Bibliographic record

VenueCanadian Journal of Surgery · 2023
Typearticle
Languageen
FieldMedicine
TopicTendon Structure and Treatment
Canadian institutionsHamilton Health SciencesUniversité de MontréalMcGill University Health CentreHealth Sciences CentreUniversity of British Columbia
Fundersnot available
KeywordsMedicineAchilles tendonSubspecialtyAchilles tendon ruptureEvidence-based medicineEvidence-based practicePhysical therapySurgeryGeneral surgeryTendonAlternative medicineFamily medicine

Abstract

fetched live from OpenAlex

The treatment of Achilles tendon rupture has recently seen a shift toward non-operative management, as supported by the literature, yet many surgeons continue to treat these injuries operatively. The evidence clearly supports non-operative management of these injuries except for Achilles insertional tears and for certain patient groups, such as athletic patients, for whom further research is warranted. This nonadherence to evidence-based treatment may be explained by patient preference, surgeon subspecialty, surgeon era of practice or other variables. Further research to understand the reasons behind this nonadherence would help to promote conformity in the surgical community across all specialties and adherence to evidence-based approaches.

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)0.004
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.136
GPT teacher head0.294
Teacher spread0.159 · 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 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

Citations9
Published2023
Admission routes2
Has abstractyes

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Same venueCanadian Journal of SurgerySame topicTendon Structure and TreatmentFrench-language works237,207