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Record W2728093723 · doi:10.15273/dmj.vol43no2.7055

Double dislocations in a single digit: a Canadian perspective

2017· article· en· W2728093723 on OpenAlexaffvenueabout
Joseph P. Corkum, Kevin Calder, Justin Paletz

Bibliographic record

VenueDalhousie Medical Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsDalhousie University
Fundersnot available
KeywordsNumerical digitMedicineSurgeryEtiologyReduction (mathematics)DislocationPsychiatryArithmetic

Abstract

fetched live from OpenAlex

Dislocation of both joints in the same digit due to a single insult is rare. To date there have been no reported cases from Canada. The purpose of our study is to review the literature and to survey plastic surgeons about this injury. We have contributed two case reports as well. Within six months, two patients presented to the Halifax Infirmary plastic surgery clinic for management of a double dislocation of a single digit. A comprehensive literature review of the English and non-English literature was performed. Additionally, a survey on experiences with double disloca- tions was developed and distributed to Plastic Surgeons practicing in Canada. 61 reported cases were identified in the literature, none of which were treated in Canada. 76% of cases were reported in English with the remaining 24% of cases reported in a non-English language (German, French). One hundred of the 373 members of the Canadian Society of Plastic Surgeons contacted replied (27%). Fourteen had previously encountered a double dislocation of a single digit. This injury was treated with closed reduction 90% of the time and splinting (65%) for two to three weeks. All patients regained normal range of motion with the exception of one. Ninety-three and 85% favored closed reduction and splinting, respectively. Two weeks was the preferred immobilization period (36%). We present the first reported cases of double dislocation of a single digit in Canada. We outline the etiology of this rare injury, previous treatments employed, and potential pitfalls encountered. The authors recommend a preferred treatment strategy for the management of double dislocation of a single digit.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.194

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.007
Science and technology studies0.0090.003
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.030
GPT teacher head0.321
Teacher spread0.291 · 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

Citations0
Published2017
Admission routes3
Has abstractyes

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