MétaCan
Menu
Back to cohort
Record W3166418640 · doi:10.1097/sla.0000000000004962

Enhanced Recovery 2.0 – Same Day Discharge With Mobile App Follow-up After Minimally Invasive Colorectal Surgery

2021· article· en· W3166418640 on OpenAlexaff
Lawrence Lee, Jules Eustache, Gabriele Baldini, A. Sender Liberman, Patrick Charlebois, Barry Stein, Julio F. Fiore, Liane S. Feldman

Bibliographic record

VenueAnnals of Surgery · 2021
Typearticle
Languageen
FieldMedicine
TopicEnhanced Recovery After Surgery
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicineColectomySurgeryEmergency departmentLaparoscopyCohortIleostomyGeneral surgeryColorectal cancerInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To investigate the feasibility of SDD protocol with postdischarge follow-up using a mobile phone app in patients undergoing elective minimally-invasive colectomy. SUMMARY OF BACKGROUND DATA: Discharge before gastrointestinal recovery and use of mobile health technology for remote follow-up may allow for SDD after minimally-invasive colectomy within an ERP. METHODS: Adult patients undergoing elective laparoscopic colectomy or loop ileostomy reversal from February 2020 to November 2020 were screened for eligibility. Patients were eligible if they lived within a 30-minute drive from the hospital, had an adequate support system at home, and owned a smart phone. Patients were discharged from the recovery room on the day of surgery based on set criteria with postdischarge remote follow-up using a mobile application. Feasibility was defined as discharge on the day of surgery without emergency department (ED) visit or readmission within the first 3 days. 30-day complications, ED visits, and readmissions were compared to a non-SDD historical cohort (May 2019-March 2020) also remotely followed-up using the same mobile phone app (standard ERP group). RESULTS: A total of 48 patients were recruited to SDD, of which 77% were discharged on the day of surgery without subsequent ED visit in the first 72 hours. There were 11 patients that could not be discharged, including 7 for failure of discharge criteria and 4 for intraoperative complications/concerns. Overall 30-day complications in the SDD group (17%) was similar to the standard ERP group (15%, P = 0.813). ED visits (SDD10% vs standard ERP8%, P = 0.664) and readmissions (6% vs 4%, P = 0.681) were also similar. CONCLUSIONS AND RELEVANCE: Findings from this study support the feasibility of a SDD protocol in select patients undergoing minimally-invasive colorectal resection. SDD colectomy protocols may represent the next evolution of ERP and postoperative recovery.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.059
GPT teacher head0.281
Teacher spread0.223 · 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 source (direct Gemma or distilled Codex), 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

Citations64
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueAnnals of SurgerySame topicEnhanced Recovery After SurgeryFrench-language works237,207