P1872Canadian electrophysiology labs registry report update 2011–2018
Bibliographic record
Abstract
Abstract Background Interventional cardiac electrophysiology (EP) is rapidly evolving; a nationwide registry was established and re-administered since 2011 to conduct a periodic review of resource allocation across Canada. Methods The registry collects annual data on EP lab infrastructure, imaging, tools, human resources, procedural volumes, and wait times. Leading physicians from each EP lab were contacted electronically. Results All Canadian EP centres were identified (n=30); 50% and 45% of active centres participated in the last 2 instalments of the registry. Since 2011, data has been consistently obtained from 11 university-affiliated centres. Table 1 reports trends in procedural volumes and operators. Figure 1 depicts the ablations done per operator. The mean wait time to see an electrophysiologist for an initial non-urgent consult is 23 weeks. The wait time between an EP consult and ablation date is 17.8 weeks for simple ablation, 15.9 weeks for VT ablation, and 30.1 weeks for AF ablation. On average centres have 2 (range: 1–4) rooms equipped for ablations; each centre uses the EP lab an average of 7 shifts per week. While diagnostic studies and radiofrequency ablations are performed in all centres, point-by-point cryoablation is available in 85% and cryoballoon in 77% of the centres; 38% of the respondents use circular ablation techniques. Trends in procedural volumes + operators 2015–2016 2013–2014 2011–2012 Procedures per operator 117±70 120±68 113±42 Procedures per centre 498±299 477±245 446±237 Ratio of staff to trainees 2.0:1 1.6:1 1.5:1 Full time physicians per centre 4.1 (0–7) 4.1 (1–7) 3.5 (0–7) Nurses trained specifically for EP 4.6 (0–10) 4.4 (0–10) n/a Ablation procedures volume: AV Reciprocal Tachycardia 12% 10% 11% AV Nodal Re-entry Tachycardia 18% 19% 23% Atrial Fibrillation/Atypical Flutter 33% 35% 30% Typical Flutter 20% 14% 19% Ventricular Tachycardia 8% 8% 10% Total annual ablations in all respondent centres 5478 5243 4908 Mean ± standard deviation. Staff (full-time + part-time prorated to 0.5). Annual ablation volumes per operator Conclusion This initiative provides contemporary data on invasive EP practices. The results show feasibility in data collection which will serve as a reference for decisions regarding resource planning.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.019 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.031 | 0.013 |
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".