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Record W2805994500 · doi:10.7439/ijbr.v9i5.4663

“Bouquet technique” for displaced boxers fracture: Surgical technique and outcomes in143 consecutive cases

2018· article· en· W2805994500 on OpenAlexaff
Fayaz Memon, Hemant Patankar, Abdul Malik Nagori

Bibliographic record

VenueInternational Journal of Biomedical Research · 2018
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsHand and Upper Limb Clinic
Fundersnot available
KeywordsMedicineRadiological weaponSurgeryRadiographyMetacarpal bonesReduction (mathematics)Soft tissueNumerical digit

Abstract

fetched live from OpenAlex

Background: Fifth metacarpal neck fractures, also known as Boxer’s fractures, commonly occur as a result of axial impact on a clenched fist. There is no agreement over the optimum management of undisplaced boxers fracture. We present the results of treatment by a Bouquet technique, described by Foucher in 143 consecutive cases of displaced fifth metacarpal neck fractures.Methods: We retrospectively reviewed our records for 143 consecutive cases of fifth metacarpal neck fractures treated with Bouquet technique. Clinical and radiological evaluation was done at 6 weeks, 12 weeks and 6 months. Total active motion of the fifth digit, radiography and complications if any were noted.Results: Of 143 cases, there were 113 cases with closed reduction and 30 with open reduction. Radiological union was achieved in 140 cases. Remaining 3 were lost to follow up. Good to excellent result was achieved in 95% cases. Seven cases developed bursitis at the K-wire entry site which required k-wire removal.Conclusion: The technique of flexible antegrade intramedulary nailing of fifth metacarpal neck fractures is simple, safe, soft tissue sparing, minimally invasive technique giving excellent functional and cosmetic results with minimal complications.

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)0.004
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.655
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.052
GPT teacher head0.467
Teacher spread0.415 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations1
Published2018
Admission routes1
Has abstractyes

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