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Record W2910553774 · doi:10.4103/cjrm.cjrm_2_18

Fishhook injury in Eastern Newfoundland: Retrospective review

2019· review· en· W2910553774 on OpenAlexaffvenueabout
Christopher Patey, Thomas Heeley, Kris Aubrey‐Bassler

Bibliographic record

VenueCanadian Journal of Rural Medicine · 2019
Typereview
Languageen
FieldMedicine
TopicInjury Epidemiology and Prevention
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMedicineEast coastRetrospective cohort studyGeographySurgery

Abstract

fetched live from OpenAlex

INTRODUCTION: The Canadian island of Newfoundland has a long history of fishing; however, no study to date has developed a regional profile of fishhook injuries on its east coast. METHODS: To this end, we conducted a retrospective review of fishhook injuries at all Newfoundland East coast emergency departments from 2013 to 2015. Patient presentations were reviewed for the date of arrival, sex of the patient, location of fishhook injury, tetanus immunisation status, anaesthetic utilisation, diagnostic imaging, antibiotic management and technique of removal. RESULTS: Information was retrieved for 165 patients. Most injuries occurred to the hand (80.6%), and out of five documented techniques, "advance and cut" was the most common extraction method (55.5%). There was a high percentage of prophylactic oral antibiotics prescribed (57%) and X-ray imaging (20%) utilised. Consultation was required for 4.2% of the fishhook injuries including consultation to a local fire department service. CONCLUSIONS: On the east coast of Newfoundland, fishhook injuries are addressed inconsistently, with potentially suboptimal methods for removal, coupled with unnecessary imaging and antibiotics. We believe that there is a role for education and other initiatives to improve the care delivered.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.850
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.058
GPT teacher head0.384
Teacher spread0.326 · 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 designOther design
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

Citations9
Published2019
Admission routes3
Has abstractyes

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