Consensus Statement on Urinary Stone Treatment During a Pandemic: A Delphi Process from the Endourological Society TOWER Research Initiative
Bibliographic record
Abstract
Introduction: The novel coronavirus disease (COVID-19) pandemic has had a significant impact on the care of patients with urolithiasis. Recommendations and prioritization of endourologic surgical procedures vary among regions, and a comprehensive overall international directive is needed. We used the Delphi method to obtain international consensus on managing urolithiasis patients during the pandemic. Methods: A three-round Delphi process was used to elicit expert consensus (53 global key opinion leaders within the Endourological Society from 36 countries) on an extensive survey on management of endourologic patients in a pandemic. Questions addressed general management, inpatient and outpatient procedures, clinic visits, follow-up care, and best practices for suspension and resumption of routine care. Results: Consensus was achieved in 64/84 (76%) questions. Key consensus findings included the following: consultations should be delivered remotely when possible. Invasive surgical procedures for urolithiasis patients should be reserved for high-risk situations (infection, renal failure, etc.). To prevent aerosolization, spinal anesthesia is preferred over general, whenever feasible. Treatment of asymptomatic renal stones should be deferred. Primary definitive treatment of obstructing or symptomatic stones (both renal and ureteral) is preferred over temporizing drainage. Extracorporeal shockwave lithotripsy should be continued for obstructive ureteral stones. There was consensus on treatment modalities and drainage strategies depending on location and size of the stone. Conclusion: International endourologist members of the Endourological Society participated in this Delphi initiative to provide expert consensus on management of urolithiasis during a pandemic. These results can be applied currently and during a future pandemic.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 0.000 |
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 teacher head, 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".