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Record W4408140957 · doi:10.1093/bjsopen/zrae162

Inter-rater variability for the American Society of Anesthesiologists classification in patients undergoing hepato-pancreato-biliary surgery (MILESTONE-2): international survey among surgeons and anaesthesiologists

2024· article· en· W4408140957 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBJS Open · 2024
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsPancreas Centre (Canada)Toronto General HospitalUniversity of Toronto
FundersNational Cancer InstituteCanadian Anesthesiologists' Society
KeywordsMilestoneAmerican society of anesthesiologistsMedicineGeneral surgerySurgeryHistory

Abstract

fetched live from OpenAlex

BACKGROUND: Patients undergoing hepato-pancreato-biliary surgery are typically preoperatively assessed using the American Society of Anesthesiologists (ASA) classification, which is also used for case-mix adjustment when comparing centre outcomes. Studies determining the inter-rater variability of the ASA classification within hepato-pancreato-biliary surgery are currently lacking. METHODS: An international survey was collected and a case-vignette study was performed (November 2022-April 2023) regarding the ASA classification in patients undergoing hepato-pancreato-biliary surgery among anaesthesiologists and surgeons from (inter)national societies. The survey consisted of 23 questions and eight case-vignettes. Primary analysis included descriptive statistics and the inter-rater variability was calculated using Light's Kappa. RESULTS: Overall, 1283 participants from 55 countries responded: 1073 (84%) anaesthesiologists and 210 (16%) surgeons. The ASA classification was commonly used, both clinically 1003/1283 (78%) and for research 728/762 (96%). The majority of respondents (n = 1019, 79%) declared that ASA score impacted their perioperative strategy. There inter-rater variability was fair-moderate (Kappa 0.26-0.42) in all case-vignettes. Inter-rater variability differed within and among geographic regions for each case. Over 80% (n = 1138) of respondents stated that they would take the underlying disease (for example cancer) into account, but this changed the preferred ASA score within the case-vignettes by only 1%. Type of surgery changed the preferred score in the case-vignettes (13% difference). The most common suggestions to improve the ASA classification were to clarify whether type of operation should be considered, create a more extensive definition, and provide more examples. CONCLUSIONS: Inter-rater variability was present within the ASA classification of patients undergoing hepato-pancreato-biliary surgery, which may impact perioperative strategy and hamper research results. Additional guidance to classify patients according to ASA is urgently needed. Until then, more objective measurements should be considered for case-mix adjustment within research.

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)0.005
metaresearch head score (Gemma)0.002
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 score0.013
Threshold uncertainty score0.813

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
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 integrity0.0000.000
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 head0.099
GPT teacher head0.382
Teacher spread0.283 · 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