Managing Preoperative Anxiety and Thromboprophylaxis in Children Undergoing Urological Procedures: An Update of the European Association of Urology/European Society for Paediatric Urology Guidelines on Paediatric Urology
Bibliographic record
Abstract
Context: The literature on preventative measures against anxiety and antithrombotic management in children undergoing urological procedures is still limited, resulting in a generally low level of evidence. These guidelines aim to provide a practical approach based on a consensus from the European Association of Urology (EAU)/European Society for Paediatric Urology (ESPU) Paediatric Urology Guidelines Panel. Objective: The authors aim to provide the 2024 EAU/ESPU Paediatric Urology Guidelines Panel update of the chapter on perioperative management of urological procedures in children. Evidence acquisition: A structured literature review was performed for all relevant publications published from the last update until April 03, 2023. Evidence synthesis: The most important updates include the following: anxiety and distress should be prevented or relieved by combining measures such as premedication, distraction techniques, and presence of parents or caregivers. Clinicians should select the appropriate premedication depending on the patient's age, underlying conditions, and psychological status. A particular focus must be placed on paediatric patients with "special needs", including children with psychophysical disorders that impact their relational and cognitive abilities. This unique population requires carefully tailored perioperative management. The incidence of perioperative thromboembolic events in the paediatric population is generally low. Controversies still exist on whether to perform a preoperative coagulation panel test on a routine basis. Neonates and adolescents are at a higher risk of perioperative thromboembolic events than the other children. Standard perioperative antithrombotic prophylaxis is not recommended due to a lack of high-quality evidence-based data. Conclusions: This paper is a summary of evidence on preventative measures against anxiety and antithrombotic management in children undergoing urological procedures. Patient summary: In this summary and update of the European Association of Urology/European Society for Paediatric Urology guidelines on paediatric urology, we provide practical considerations for preventative measures against anxiety and antithrombotic management in children undergoing urological procedures.
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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 | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".