Modified protocol for pterygium surgery without blades and electrocoagulation
Bibliographic record
Abstract
Purpose: To evaluate the efficacy, safety, and outcomes of a blade- and cautery-free surgical protocol for pterygium removal. Methods: Pterygium removal surgery was done in 69 eyes (67 patients; 24 males and 43 females) who were followed up for at least 6 months. The surgery was characterized by blunt separation of the pterygium from the head to the limbal arc using the tip of Vannas scissors and modified procedures, such as transpositional flapping and suture closure. Neither a blade nor a cautery was used. Results: The reported subjects were 60.7 years old on average, and most of them had primary pterygium (66 out of 69). The proposed surgical protocol was simple to perform, requiring an average operation time of 18.7 min which was shorter than that of the suture and fibrin glue groups mentioned in relevant reports. Post-anesthesia pain was relieved quickly 1 day after surgery without the use of pain killers. During the follow-up period of 11.3 ± 3.1 months, recurrence of pterygium requiring additional surgery was seen in only three eyes (4.3%). Conclusion: The potential of the examined protocol as an easy, efficient, and reliable approach was demonstrated.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".