A Pilot Study of the Incidence of Post-thoracotomy Pulmonary Complications and the Effectiveness of Pre-thoracotomy Physiotherapy Patient Education
Bibliographic record
Abstract
PURPOSE: To estimate the incidence and examine the pattern of post-thoracotomy pulmonary complications (PPC) that are amenable to physiotherapy treatment and to estimate the effect size of a pre-thoracotomy physiotherapy education session compared to no preoperative physiotherapy for reducing PPC. METHODS: Forty-two patients undergoing thoracotomy participated in this two-group retrospective-prospective cohort study. The preop group (n=22) received physiotherapy education prior to surgery and the no preop group (n=20) did not receive preoperative physiotherapy education. Chest radiographs were examined for PPC for 5 days postoperatively. Incidences of PPC were determined. The effect size was based on a grand count of PPC. RESULTS: The 5-day incidence of atelectasis, collapse, consolidation, and other complications was 85.0%, 39.0%, 31.7%, and 38.1%, respectively. Patterns of PPC showed large increases at days 2 and 3. The effect size for pre-thoracotomy physiotherapy education was zero. CONCLUSIONS: In our sample, incidence of PPC was high and did not substantially differ based on whether or not preoperative education was provided.
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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 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".