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Record W2983902028

Conservative management of femoral anterior glide syndrome: a case series.

2018· article· en· W2983902028 on OpenAlexaff
Chris Grant, Jason Pajaczkowski

Bibliographic record

VenuePubMed · 2018
Typearticle
Languageen
FieldMedicine
TopicHip disorders and treatments
Canadian institutionsCanadian Memorial Chiropractic College
Fundersnot available
KeywordsMedicineFemoral headAcetabulumHip painPhysical medicine and rehabilitationSurgeryPhysical therapy
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Femoral anterior glide syndrome is a movement impairment syndrome, which presents with anterior hip pain aggravated by hip flexion and extension. It is believed to occur because of altered muscle activation patterns contributing to altered gliding of the femoral head within the acetabulum and constant overloading and irritation of the joint structures. STUDY DESIGN: Case series. CASE DESCRIPTION: Three elite athletes diagnosed with femoral anterior glide syndrome were treated conservatively with the main goal of improving posterior femoral glide. Rehabilitative exercises were completed to gain independent articular control of the hip and improve hip and low back dissociation. OUTCOMES: Patients received complete symptom resolution allowing them to continue participating in their sport at full capacity. They were able to perform the femoral anterior glide tests without pain and aberrant movement patterns. DISCUSSION: This case series provides data to support further investigation of treatment of femoral anterior glide syndrome.

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 score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0040.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.027
GPT teacher head0.265
Teacher spread0.238 · 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

Citations6
Published2018
Admission routes1
Has abstractyes

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