MétaCan
Menu
Back to cohort
Record W4406312905 · doi:10.1186/s13741-024-00489-2

Preoperative risk assessment and optimization integrating surgical and anesthetic principles and practices: a national survey for internists

2025· article· en· W4406312905 on OpenAlex
Marc-Antoine Lepage, Annie Lecavalier, Gabriele Baldini, Ning‐Zi Sun, Amal Bessissow

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

VenuePerioperative Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsMcGill UniversityCentre Integre de Sante et de Services Sociaux de LavalMcGill University Health Centre
Fundersnot available
KeywordsMedicinePerioperativeGuidelineRisk assessmentAnestheticIntensive care medicineSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: The integration of procedure-specific risks into preoperative patient assessment and optimization are crucial aspects of perioperative care. However, data on internists' knowledge of surgical and anesthetic principles and practices are limited. We thus sought to identify internists' knowledge gaps in terms of surgical- and anesthetic-specific risk factors and characteristics. METHODS: An open and voluntary e-survey was conducted via LimeSurvey between April and July 2021 to evaluate Canadian internists' knowledge of surgical and anesthetic principles and practices. The survey included the perceived importance and knowledge of several key surgical and anesthetic aspects, such as surgery duration, procedure-specific cardiac risk, bleeding risk, and thrombotic risk. It also assessed pre- and post-survey self-reported confidence levels in one's knowledge of these characteristics. Finally, we investigated how internists optimize some of the preoperative risks. RESULTS: A total of 173 Canadian internists opened the survey link, and 121 completed it (completion rate 70%). While the majority of respondents considered surgical and anesthetic principles and practices as important, most identified knowledge gaps. Participants generally estimated surgery duration and procedure-specific cardiac risk adequately. However, they tended to underestimate procedure-specific bleeding risk for general (58%) and orthopedic (76%) surgeries and to overestimate procedure-specific thrombotic risk for vascular (63%) and genitourinary (60%) surgeries. Furthermore, there is a lack of consensus regarding the appropriate hemoglobin A1c target and 0% of respondents reported using the guideline-suggested hemoglobin threshold for investigation and intervention. CONCLUSIONS: Overall, our findings identify significant knowledge gaps among Canadian internists in preoperative assessment of procedure-specific risk factors and can be used to inform both the development of educational initiatives and future research to improve the quality of preoperative patient care.

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)0.002
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 score0.098
Threshold uncertainty score0.595

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
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 head0.062
GPT teacher head0.418
Teacher spread0.356 · 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