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Record W4321500914 · doi:10.1001/jamasurg.2022.8228

Association Between Familiarity of the Surgeon-Anesthesiologist Dyad and Postoperative Patient Outcomes for Complex Gastrointestinal Cancer Surgery

2023· article· en· W4321500914 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJAMA Surgery · 2023
Typearticle
Languageen
FieldMedicine
TopicSurgical Simulation and Training
Canadian institutionsUniversity of ManitobaSt. Paul's HospitalProvidence Health CareWomen's College HospitalThe Wilson CentreUniversity of British ColumbiaToronto Western HospitalUniversity Health NetworkHealth Sciences CentreOttawa HospitalInstitute for Clinical Evaluative SciencesUniversity of OttawaUniversité de MontréalUniversité LavalPublic Health OntarioUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineDyadOdds ratioLogistic regressionRetrospective cohort studyGeneral surgeryOddsEsophagectomySurgeryCancerInternal medicineEsophageal cancer

Abstract

fetched live from OpenAlex

Importance: The surgeon-anesthesiologist teamwork and relationship is crucial to good patient outcomes. Familiarity among work team members is associated with enhanced success in multiple fields but rarely studied in the operating room. Objective: To examine the association between surgeon-anesthesiologist dyad familiarity-as the number of times working together-with short-term postoperative outcomes for complex gastrointestinal cancer surgery. Design, Setting, and Participants: This population-based retrospective cohort study based in Ontario, Canada, included adults undergoing esophagectomy, pancreatectomy, and hepatectomy for cancer from 2007 through 2018. The data were analyzed January 1, 2007, through December 21, 2018. Exposures: Dyad familiarity captured as the annual volume of procedures of interest done by the surgeon-anesthesiologist dyad in the 4 years before the index surgery. Main Outcomes and Measures: Ninety-day major morbidity (any Clavien-Dindo grade 3 to 5). The association between exposure and outcome was examined using multivariable logistic regression. Results: Seven thousand eight hundred ninety-three patients with a median age of 65 years (66.3% men) were included. They were cared for by 737 anesthesiologists and 163 surgeons who were also included. The median surgeon-anesthesiologist dyad volume was 1 (range, 0-12.2) procedures per year. Ninety-day major morbidity occurred in 43.0% of patients. There was a linear association between dyad volume and 90-day major morbidity. After adjustment, the annual dyad volume was independently associated with lower odds of 90-day major morbidity, with an odds ratio of 0.95 (95% CI, 0.92-0.98; P = .01) for each incremental procedure per year, per dyad. The results did not change when examining 30-day major morbidity. Conclusions and Relevance: Among adults undergoing complex gastrointestinal cancer surgery, increasing familiarity of the surgeon-anesthesiologist dyad was associated with improved short-term patient outcomes. For each additional time that a unique surgeon-anesthesiologist dyad worked together, the odds of 90-day major morbidity decreased by 5%. These findings support organizing perioperative care to increase the familiarity of surgeon-anesthesiologist dyads.

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.

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)0.005
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 score0.016
Threshold uncertainty score0.546

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.098
GPT teacher head0.329
Teacher spread0.231 · 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