Type I thyroplasty: risk stratification approach to inpatient versus outpatient postoperative management.
Bibliographic record
Abstract
BACKGROUND: type I thyroplasty is an effective and safe procedure for unilateral vocal fold paralysis and is shifting toward outpatient postoperative care. However, serious airway complications have been reported. OBJECTIVES: the aims of this study were to investigate whether risk stratification into inpatient/outpatient postoperative care reduces outpatient airway complications and to compare the cost-effectiveness and surgical outcomes of risk stratification to a historical inpatient control group (non-risk stratified). SETTING: tertiary, university-based medical centre. DESIGN AND RESULTS: Three retrospective groups were examined: historical inpatient control (n = 15), risk-stratified (RS)- inpatient (n = 16), and RS outpatient (n = 17). Laryngeal edema was encountered in two historical controls (13.3%), two RS inpatients (12.5%), and one RS outpatient (5.9%). One case of implant extrusion occurred in the RS outpatient group. There was no difference in maximum phonation time or voice-related quality of life between RS versus historical controls (p > .5). The cost savings of risk stratification versus entirely inpatient care was $CAD 633.12/patient. The average duration in hospital for RS inpatient versus RS outpatient was 29.8 and 8.3 hours, respectively. CONCLUSIONS: postoperative RS may reduce potentially serious outpatient airway complications and cost while improving patient satisfaction.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".