Open versus endoscopic septoplasty: a single-blinded, randomized, controlled trial.
Bibliographic record
Abstract
BACKGROUND: A deviated septum can be corrected by either a conventional "open" or endoscopic approach. Controversy exists regarding comparative outcomes between these two techniques. Our objective was to compare the two according to subjective and objective criteria. STUDY DESIGN: Prospective, single-blinded, randomized, controlled trial. METHODS: Over a 6-month period, all patients diagnosed with a septal deviation meeting strict inclusion/exclusion criteria were recruited. Patients were randomly assigned to either the conventional or the endoscopic group. Outcome measures included surgical time, intraoperative complications, and pre- and postoperative data from the Nasal Obstruction Symptom Evaluation (NOSE) questionnaire. Chi-square and t-tests were used for statistical analyses. RESULTS: Sixty-three patients were enrolled in the study: 32 in the endoscopic group and 31 in the conventional group. There were subjective postoperative improvements in the NOSE scores across all participants and within both groups (endoscopic: preoperative mean score = 14.7, postoperative mean score = 7.4, p < .05; conventional: preoperative mean score = 15.2, postoperative mean score = 6.3, p < .05), with no differences found between groups (p = .61). However, objective outcomes such as operative time (p < .001) and intraoperative complications (p = .01) favoured the endoscopic group. CONCLUSION: The endoscopic approach for septoplasty may be considered superior to the traditional approach for the correction of septal deviation.
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 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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
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".