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Record W2765571691 · doi:10.1097/paf.0000000000000354

Intra-Abdominal Hemorrhage Complicating Electrothermal Arterial Injury During Pelvic Surgery

2017· article· en· W2765571691 on OpenAlexaff
Paul Tingey, Adriana Krizova, D’Arcy Little, Joel Ross, Catherine L. Forse, Michael S. Pollanen

Bibliographic record

VenueAmerican Journal of Forensic Medicine & Pathology · 2017
Typearticle
Languageen
FieldMedicine
TopicVascular Procedures and Complications
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsMedicineSurgeryAbdomenPhysical examinationRadiology

Abstract

fetched live from OpenAlex

Iatrogenic vascular injury is a potentially serious complication of surgical procedures. Here we report a case of delayed fatal intra-abdominal hemorrhage because of electrocautery injury of a right external iliac artery. The decedent, a 31-year-old woman, died suddenly on postoperative day 1 after a laparoscopic staging operation for an ovarian tumor. Her past medical history included a recent diagnosis of a microinvasive carcinoma in the background of a mucinous cystic neoplasm of the right ovary. Postmortem examination revealed a young woman with evidence of emergency intervention, recent laparoscopic pelvic surgery, and pale hypostasis limited to the back surfaces of the body. The internal examination confirmed the postmortem computed tomography findings of a large amount of blood in the pelvic and abdominal cavities and evidence of recent surgical intervention. The soft tissues around the aorta and major pelvic vessels showed electrocautery change and marked perivascular hemorrhage preferentially surrounding the right external iliac artery. Histological examination of the vascular bundle showed an electrocautery injury of the arterial wall: transmural necrosis, acute inflammation, and hemorrhage. In this report, we offer an approach to a postmortem examination in postoperative deaths with emphasis on deaths due to iatrogenic vascular injuries and discuss the rationale for determining the manner of death.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.776
Threshold uncertainty score0.729

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.015
GPT teacher head0.291
Teacher spread0.276 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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