Impact of Facilitation of Early Mobilization on Postoperative Pulmonary Outcomes After Colorectal Surgery
Bibliographic record
Abstract
OBJECTIVE: To estimate the extent to which staff-directed facilitation of early mobilization impacts recovery of pulmonary function and 30-day postoperative pulmonary complications (PPCs) after colorectal surgery. SUMMARY BACKGROUND DATA: Early mobilization after surgery is believed to improve pulmonary function and prevent PPCs; however, adherence is low. The value of allocating resources (eg, staff time) to increase early mobilization is unknown. METHODS: This study involved the analysis of a priori secondary outcomes of a pragmatic, observer-blind, randomized trial. Consecutive patients undergoing colorectal surgery were randomized 1:1 to usual care (preoperative education) or facilitated mobilization (staff dedicated to assist transfers and walking during hospital stay). Forced vital capacity, forced expiratory volume in 1 second (FEV1), and peak cough flow were measured preoperatively and at 1, 2, 3 days and 4 weeks after surgery. PPCs were defined according to the European Perioperative Clinical Outcome Taskforce. RESULTS: Ninety-nine patients (57% male, 80% laparoscopic, median age 63, and predicted FEV1 97%) were included in the intention-to-treat analysis (usual care 49, facilitated mobilization 50). There was no between-group difference in recovery of forced vital capacity [adjusted difference in slopes 0.002 L/d (95% CI -0.01 to 0.01)], FEV1 [-0.002 L/d (-0.01 to 0.01)] or peak cough flow [-0.002 L/min/d (-0.02 to 0.02)]. Thirty-day PPCs were also not different between groups [adjusted odds ratio 0.67 (0.23-1.99)]. CONCLUSIONS: In this randomized controlled trial, staff-directed facilitation of early mobilization did not improve postoperative pulmonary function or reduce PPCs within an enhanced recovery pathway for colorectal surgery. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02131844.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".