MétaCan
Menu
Back to cohort
Record W3046342428 · doi:10.1503/cjs.002219

Feasibility analysis for the development of a video-assisted thoracoscopic (VATS) lobectomy 23-hour recovery pathway

2020· article· en· W3046342428 on OpenAlexaffvenueabout
Teodora-Cristiana Dumitra, Juan-Carlos Molina, Jack Mouhanna, Ioana Nicolau, Stéphane Renaud, Ludovic Aubin, Aya Siblini, David S. Mulder, Lorenzo Ferri, Jonathan Spicer

Bibliographic record

VenueCanadian Journal of Surgery · 2020
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Diagnosis and Treatment
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicineInterquartile rangeVATS lobectomyPerioperativeOdds ratioSurgeryConfidence intervalVideo-assisted thoracoscopic surgeryPneumonectomyLung cancerInternal medicine

Abstract

fetched live from OpenAlex

Background: Video-assisted thoracoscopic (VATS) lobectomy has been demonstrated to offer several benefits over open surgery. The purpose of this study was to assess the feasibility and safety of an ultra-fast-track 23-hour recovery pathway for VATS lobectomy. Methods: A prospectively maintained institutional database was queried for patients who underwent VATS lobectomy from 2006 to 2016 at the McGill University Health Centre in Montreal, Quebec, and data were supplemented with focused chart review. Patients discharged with a length of stay (LOS) of 23 hours or less were compared with those with an LOS of 2 days or more. Logistic regression was performed to identify predictors of LOS of 23 hours or less. Results: Two hundred and five patients were included in the study. Perioperative 30-day mortality for our cohort was 0% and the major complication rate was 8.3%. The median LOS was 3 days (interquartile range [IQR] 2-4 d). Thirty-four patients were discharged within 23 hours and none of them required readmission; 171 patients were discharged on postoperative day 2 or later and 9 of them (5.3%) required readmission (p = 0.36). The proportion of patients discharged within 23 hours increased in 2016 compared with previous years (25.8% v. 12.0%, p = 0.05). Patients discharged within 23 hours had shorter chest tube duration (odds ratio [OR] 0.20, 95% confidence interval [CI] 0.09-0.46, p < 0.001), lower clinical stage disease (stages II-III v. stage I OR 0.07, 95% CI 0.01-0.52, p = 0.011), lower pathologic stage lesions (stages II-III v. stage I OR 0.26, 95% CI 0.07-0.91, p = 0.035), fewer surgical complications (OR 0.04, 95% CI 0.01-0.30, p = 0.002) and shorter operative time (surgery duration > 120 min OR 0.42, 95% CI 0.18-0.95, p = 0.04). Our exploratory prediction modelling showed that chest tube duration, clinical stage and surgeon were the most influential predictors of discharge within 23 hours. Conclusion: The only preoperative factors that predicted shorter LOS in our cohort were clinical stage and surgeon. A significant proportion of patients can be discharged safely by adopting a VATS lobectomy 23-hour enhanced recovery pathway.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
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 head0.109
GPT teacher head0.306
Teacher spread0.197 · 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

Citations13
Published2020
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of SurgerySame topicLung Cancer Diagnosis and TreatmentFrench-language works237,207