MétaCan
Menu
Back to cohort
Record W1972518356 · doi:10.1007/s00167-012-2236-7

Sources and quality of literature addressing femoroacetabular impingement

2012· review· en· W1972518356 on OpenAlexaff
Olufemi R. Ayeni, Kevin Chan, Jamal Al‐Asiri, Teresa Chien, Sheila Sprague, Susan Liew, Mohit Bhandari

Bibliographic record

VenueKnee Surgery Sports Traumatology Arthroscopy · 2012
Typereview
Languageen
FieldMedicine
TopicHip disorders and treatments
Canadian institutionsMcMaster University
Fundersnot available
KeywordsFemoroacetabular impingementQuality (philosophy)Computer scienceMedicinePhysical therapyPhysics

Abstract

fetched live from OpenAlex

PURPOSE: In the last 5 years, there has been an increasing interest in the concepts, pathoanatomy, and management of femoroacetabular impingement (FAI). The aim of this study was to determine the trends in FAI literature with specific emphasis on the quality and source of publications in the literature. METHODS: A systematic review of two electronic databases (MEDLINE, EMBASE) was conducted to identify FAI-related publications from 2005 to 2010. Studies were included if they were published in peer-review journals and were written in English. Abstracted data included year of publication, study design, type of study, level of evidence, number of patients and hips, gender, weighted mean age of patients, and type of journal. RESULTS: There were 298 relevant studies. Between 2005 and 2010, there was an approximate fivefold increase in the number of FAI-related publications. Most of these studies came from the orthopaedic literature (197 articles or 66 %), while the remainder arose from other medical specialties. The majority of publications consisted of level 4 and 5 studies (248 articles). There were no level 1 studies identified. CONCLUSION: Between 2005 and 2010, there has been a dramatic increase in FAI-related publications, but high-quality studies are still lacking. LEVEL OF EVIDENCE: IV.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.930
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.132
GPT teacher head0.384
Teacher spread0.251 · 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

Citations55
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueKnee Surgery Sports Traumatology ArthroscopySame topicHip disorders and treatmentsFrench-language works237,207