Evolution of International Pediatric Endoscopic Practice Changes During the Coronavirus Disease 2019 Pandemic
Bibliographic record
Abstract
OBJECTIVES: The coronavirus disease 2019 (COVID-19) pandemic has drastically altered endoscopic practices. We initially reported the international impact of COVID-19 on pediatric endoscopic practice. This follow-up study aimed to assess changes 7 months following the initial survey to delineate practice change patterns as the pandemic evolved. METHODS: Pediatric gastroenterologists who responded to the initial survey were re-surveyed seven months later using Research Electronic Data Capture (REDCap). The survey recorded information on changes in pediatric endoscopic practice patterns, including COVID-19 screening and testing processes and personal protective equipment (PPE) utilization. Additionally, endoscopists' risk tolerance of COVID-19 transmission was evaluated. RESULTS: Seventy-five unique institutions from 21 countries completed surveys from the 145 initial responses (51.7% response rate). Procedural volumes increased at most institutions (70.7%) and most were performing previously postponed cases (90.7%). Ninety-seven percent of institutions were performing pre-endoscopy screening with 78.7% testing all patients. Many institutions (34.7%) have performed procedures on COVID-19 positive patients. There was significantly less PPE reuse (P < 0.05) and fewer institutions recommending full PPE for all endoscopies (43.2% vs 59.2%, P = 0.013). Overall, pediatric endoscopists' risk tolerance of COVID-19 transmission is low. CONCLUSIONS: This is the first survey to highlight the evolution of pediatric endoscopic practices related to the COVID-19 pandemic, underscoring the need for ongoing pandemic-related guidance for pediatric endoscopic practice.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".