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Record W2084423700 · doi:10.1177/1753193414541749

Operative treatment of ulnar impaction syndrome: a systematic review

2014· review· en· W2084423700 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Hand Surgery (European Volume) · 2014
Typereview
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsSt. Paul's HospitalUniversity of British ColumbiaUniversity of Toronto
Fundersnot available
KeywordsMedicineUlnaOsteotomySurgeryMEDLINEOrthodontics

Abstract

fetched live from OpenAlex

This article critically and systematically reviews the surgical treatments for ulnar impaction syndrome. Three types of treatments currently exist: arthroscopic wafer procedure, open wafer procedure, and ulna shortening osteotomy. A total of 36 articles were included from searching the electronic databases PubMed MEDLINE, Ovid MEDLINE, and Ovid EMBASE. Studies were evaluated for quality using the Modified Detsky Score. Of these, 14 articles had a Modified Detsky Score of 6/10 or higher. Satisfaction rates were 100% for arthroscopic wafer procedure, 89% for open wafer procedure, and 84% for ulna shortening osteotomy. The percentage of participants reporting an excellent or good outcome was 82% for arthroscopic wafer procedure, 87% for open wafer procedure, and 76% for ulna shortening osteotomy. In conclusion, available evidence shows that arthroscopic wafer procedure and open wafer procedure may be viable alternatives to the more popular ulna shortening osteotomy, but clinical superiority is yet to be established. Future research should focus on prospective cohort methods and should report participant outcomes using validated scoring methods.

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.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.372
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0090.004
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.038
GPT teacher head0.344
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