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Record W4361293783 · doi:10.31276/vjst.65(3db).03-07

Evaluation of treatment results of perilunate dislocation by open reduction and repair of the scapholunate ligament

2023· article· en· W4361293783 on OpenAlex
Ngoc Tuan Le, Thuc Boi Chau Nguyen, Thi Linh Thu Huynh, Thi Lan Huong Bui, Thanh Tan Pham, Minh Loc Nguyen, Tan Toan Nguyen, Tri Nguyen Phan, Manh Cuong Hoang, Van Thai Nguyen, Phuoc Hung

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

VenueMinistry of Science and Technology Vietnam · 2023
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsHand and Upper Limb Clinic
Fundersnot available
KeywordsGrip strengthMedicineScapholunate ligamentWristReduction (mathematics)SurgeryLigamentMathematics

Abstract

fetched live from OpenAlex

The study aims to evaluate the treatment results of perilunate dislocations treated with open reduction and scapholunate ligament (SLL) repair. The results showed that the majority of patients had no pain and wrist function was restored well. After surgery, the majority of patients (29 out of 32) had relief from pain. The average wrist motion was 77.93o extensions, 73.69o flexions, and the mean grip strength was 41.35±5.15 kg. which was 93.56% of the normal side. There was 26 excellent, 1 good, and 5 satisfactory results. The average follow-up time was 32.35 months. Surgical procedures included open reduction and SLL repair. The average functional score is 81.30 (very good). Thus, open reduction and SLL repair gave satisfactory results to subacute and acute perilunate dislocations of the wrist. This technique achieved a relatively pain-free wrist with good grip strength and average SL distance.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.203
Threshold uncertainty score0.756

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
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 head0.030
GPT teacher head0.332
Teacher spread0.303 · 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