Bibliographic record
Abstract
Background: The aim of this study is comparing the waiting time and patient’s satisfaction of microvascular decompression (MVD) surgery between local Manitoba (MB) and out of province (OOP) patients, treated at our Centre for Cranial Nerve Disorder (CCND). Methods: Data from 100 consecutive patients (average age: 56.8±10.6 years), undergoing MVD surgery for Trigeminal Neuralgia (TN) and Hemifacial Spasm (HFS) were reviewed. The outcome measures included the time intervals between disease onset, diagnosis and referral to CCND, postoperative discharge, satisfaction with surgical outcome and referral process. Results: The preoperative time leading to CCND referral were longer for OOP patients, (onset to diagnosis/diagnosis to referral: 2.6±3.8/4.2±4.7 (OOP) versus 1.2±2.1/2.5±4.1 (MB) years; p=0.04/0.04), and referrals were more likely self-directed in OOP patients (62% (OOP), 21% (MB); p=0.007). Postoperative satisfaction with MVD outcome were 8.6/10 for OOP and 8.3/10 for MB patients. There was no significant difference in postoperative length of stay (38±50 (OOP)/43±42 (MB) hours); however, OOP patients were more likely discharged on the first postoperative day (58% (OOP), 31% (MB); p=0.17). Conclusions: Delays in diagnosis and surgical referral of TN/HFS are common, and many patients seek specialist’s opinion in high volume surgical centers. For those OOP patients, travelling for treatment, MVD outcome were at least as good as for local patients.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.040 | 0.005 |
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".