Preconditioning program reduces the incidence of prolonged hospital stay after lung cancer surgery: Results from the Move For Surgery randomized clinical trial
Bibliographic record
Abstract
BACKGROUND: Lung cancer resection is associated with high rates of prolonged hospital stay. It is presumed that preconditioning with aerobic exercise can shorten the postoperative duration of hospital stay, but this has not yet been demonstrated in trials after lung cancer surgery. The aim of this study was to perform a RCT to determine whether Move For Surgery (MFS), a home-based and wearable technology-enhanced preconditioning program before lung cancer surgery, is associated with a lower incidence of prolonged hospital stay when compared to usual preoperative care. METHODS: Patients undergoing lung resection for early-stage non-small cell lung cancer were enrolled before surgery into this blinded, single-site RCT, and randomized to either the MFS or control group in a 1 : 1 ratio. Patients in the MFS group were given a wearable activity tracker, and education about deep breathing exercises, nutrition, sleep hygiene, and smoking cessation. Participants were motivated/encouraged to reach incrementally increasing fitness goals remotely. Patients in the control group received usual preoperative care. The primary outcome was the difference in proportion of patients with hospital stay lasting more than 5 days between the MFS and control groups. RESULTS: Of 117 patients screened, 102 (87.2 per cent) were eligible, enrolled, and randomized (51 per trial arm). The majority (95 of 102, 93.1 per cent) completed the trial. Mean(s.d.) age was 67.2(8.8) years and there were 55 women (58 per cent). Type of surgery and rates of thoracotomy were not different between arms. The proportion of patients with duration of hospital stay over 5 days was 3 of 45 (7 per cent) in the MFS arm compared to 12 of 50 (24 per cent) in the control arm (P = 0.021). CONCLUSION: MFS, a home-based and wearable technology-enhanced preconditioning program before lung cancer surgery, decreased the proportion of patients with a prolonged hospital stay. Registration number: NCT03689634 (http://www.clinicaltrials.gov).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.020 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".