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Record W4295923513 · doi:10.1016/j.gastha.2022.09.001

Causes and Outcomes of Medicolegal Proceedings Following Gastrointestinal Endoscopy in Canada

2022· article· en· W4295923513 on OpenAlexaffabout
Maiti Souvik, Stephen E. Congly, Christopher Ma, Karen Olympia-Sy, Lorian Hardcastle, Melanie Stapleton, Nauzer Forbes

Bibliographic record

VenueGastro Hep Advances · 2022
Typearticle
Languageen
FieldHealth Professions
TopicMedical Malpractice and Liability Issues
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPlaintiffMedicineComplaintEndoscopyGeneral surgeryUpper gastrointestinal endoscopyTribunalSurgeryLaw

Abstract

fetched live from OpenAlex

Background and Aims: Endoscopic procedures are frequently performed in Canada but can be associated with potential complications and medicolegal implications. This study aimed to identify potential medicolegal cases in Canada relating to upper and lower endoscopies as well as advanced endoscopic procedures. Methods: Westlaw Canada was searched for any cases regarding upper and lower endoscopies and advanced endoscopic procedures from inception to December 31, 2020. Cases were classified by type of case, procedure performed, patient and defendant demographics, outcome, and alleged reason for litigation/complaint. Results: Twenty-nine civil cases and 9 board and tribunal decisions for upper and lower endoscopies and 3 advanced endoscopic procedure cases were analyzed. The most frequent defendant specialties were family physician, general surgery, and gastroenterology. The plaintiff was successful in 12 cases involving upper or lower endoscopy with an average award of $243,934 (2021 CDN). The most alleged reasons for litigation were procedural error or negligence (n = 19). The plaintiff was successful in 1 advanced endoscopic procedure case with an award of $153,032. Conclusion: Medicolegal cases regarding gastrointestinal endoscopy in Canada occur infrequently. Endoscopy should be performed by skilled providers with appropriate informed consent from the patient, and careful consideration of whether procedures are indicated are key for endoscopic providers.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.188
Threshold uncertainty score0.602

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.369
Teacher spread0.345 · 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 designObservational
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

Citations4
Published2022
Admission routes2
Has abstractyes

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