The Round-Tipped, Eyed Pigtail Probe for Canalicular Intubation: A Review of 228 Patients
Bibliographic record
Abstract
PURPOSE: To assess the effectiveness and outcomes of canalicular intubation with the use of a round-tipped, eyed pigtail probe. METHODS: Retrospective interventional case series of 228 patients requiring intubation of the canalicular system. Patients were treated surgically with attempted repair of the canalicular system with the round-tipped, eyed pigtail probe. The main outcome measures were successful intubation of the lacrimal system, symptoms of tearing, clinical functional evaluation of lacrimal system, complications, and need for further lacrimal surgery. RESULTS: Of 228 patients, 222 (97.4%) had their canalicular systems successfully intubated with silicone tubing using the round-tipped, eyed pigtail probe. Follow-up was obtained in 191 (86%) of the 222 patients. One-hundred sixty of 191 (83.8%) patients were irrigated and found to be anatomically patent (of the remainder, one was blocked whereas 30 were too young to be irrigated). One hundred fifty-two of the 191 (79.6%) patients had no tearing by history. Thirty-two (16.7%) had occasional tearing on some days that was not bothersome. Seven (3.7%) had intermittent or persistent tearing on a daily basis. Sixty-seven of the 191 (35%) had their lacrimal system more extensively assessed using the dye disappearance test, Jones I test, Jones II test, and canalicular probing. Anatomic patency in this subgroup was demonstrated in 66 of 67 (98.5%) of patients. The dye disappearance test, however, revealed slight asymmetry in 24 of 53 patients (45%) with canalicular lacerations yet only 14 of these 24 (58%) had any symptoms of tearing, indicating some discrepancy between subjective and objective assessment of tearing postcanalicular repair. Fifty-three of the repaired trauma patients underwent probing of the involved and uninvolved canalicular systems. In no patient was a stricture or blockage involving the uninvolved canaliculus identified. Additional lacrimal surgery (dacryocystorhinostomy) was performed on 2 of 191 (1%) patients with greater than 3 months follow-up. CONCLUSION: The round-tipped, eyed pigtail probe can help safely and effectively identify and repair canalicular lacerations. Symptomatic tearing was infrequent; the lacrimal systems showed complete anatomic patency in the majority of patients tested, and need for further lacrimal surgery was rare following pigtail probe intubation.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".