MétaCan
Menu
Retour à la cohorte
Enregistrement W4232062496 · doi:10.1097/ju.0000000000000243

This Month in Pediatric Urology

2019· article· en· W4232062496 sur OpenAlexaboutno aff
Mark P. Cain

Notice bibliographique

RevueThe Journal of Urology · 2019
Typearticle
Langueen
DomaineMedicine
ThématiquePediatric Urology and Nephrology Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicinePediatric urologyHydronephrosisGrading (engineering)Urinary systemGrading scalePyeloplastyUrologyPediatricsSurgeryInternal medicine

Résumé

récupéré en direct d'OpenAlex

You have accessJournal of UrologyThis Month in Pediatric Urology1 Jun 2019This Month in Pediatric Urology Mark P. Cain Mark P. CainMark P. Cain More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000000243AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail Urinary Tract Dilation Classification System Reliability There are several grading systems for describing prenatal and neonatal hydronephrosis, each of which has advantages. However, to date no protocol has been shown to be more accurate in predicting the need for surgical intervention or further evaluation of neonates due to the difficulty in defining true obstruction, and the subjective variability among pediatric urologists regarding timing and need for surgical intervention. The Upper Tract Dilation (UTD) classification, created by multidisciplinary consensus, is the most recent system. Despite the perceived improvement in its ability to characterize renal, ureteral and bladder pathology, Nelson et al (page 1186) tested the intra-observer and interobserver reliability of the effectiveness of the UTD classification system in determining the need for surgical intervention in children.1 They evaluated 243 patients for prenatal hydronephrosis using interpretations from 7 physicians from 4 institutions. Complete agreement of UTD score was less than 20%, with overall analysis confirming only fair to moderate inter-user agreement. A subset of 80 cases was re-graded by the same physician, with 50% to 75% intra-user agreement. Although overall inter-user agreement was better with the UTD classification system compared to the Society for Fetal Urology scale, the variability in scoring suggests further improvement is needed for classification of prenatal and postnatal hydronephrosis. Baseline Urinary Imaging in Infants with Spina Bifida The many advances in the care of patients with spina bifida have reduced but not eliminated the risk of chronic kidney disease as a disease related morbidity. As these patients are now living later into adult life, it is critical to understand the baseline renal function and risks for deterioration over time. There has been a continuous debate regarding minimal evaluation and followup studies to evaluate renal function in patients with spina bifida. The UMPIRE protocol, which is one of the largest prospective protocols to study the renal risk factors in patients with spina bifida from birth, was created to determine the optimal urological evaluation of these patients. In this multicenter study Tanaka et al (page 1193) report the initial evaluation of 193 infants born with spina bifida who will be followed with a strict protocol of upper tract imaging.2 Renal ultrasound and functional imaging using dimercaptosuccinic acid nuclear medicine scans were normal in the majority of cases, and only 15% had vesicoureteral reflux early in life. These findings confirm the results of many prior studies but most importantly will provide the basis for prospective analysis of a large patient cohort. Pediatric Renal Transplant Competency and Learning Curve We have very little data to help determine the minimum case volume needed to become technically proficient for almost any procedure in pediatric urological surgery. This information would be useful to identify expectations for surgical exposure during residency and fellowship programs, and to create guidelines for surgical mentoring during the first years in practice. Chua et al (page 1199) from Canada used objective outcomes following pediatric renal transplant to identify the critical case volume for a junior faculty to achieve outcomes equivalent to those of a senior surgeon.3 Their analysis revealed that proficiency is achieved after 17 cases and the procedure is mastered after 26 cases, which is not too different from the published adult data suggesting that 30 cases are necessary to develop expertise. These findings support the need to identify specialized teams for internal training and competency. Also, surgical mentoring may be important early in the surgeon’s career for specialized procedures like pediatric renal transplant, as even at a busy center like Toronto it would take up to 5 to 10 years for the junior surgeon to accumulate an adequate case volume. This type of analysis may be useful to determine minimal case volume necessary for maintaining centers of excellence for rare diseases in the future. References 1. : Interobserver and intra-observer reliability of the Urinary Tract Dilation classification system in neonates: a multicenter study. J Urol 2019; 201: 1186. Link, Google Scholar 2. : Baseline urinary tract imaging in infants enrolled in the UMPIRE Protocol for Children with Spina Bifida. J Urol 2019; 201: 1193. Link, Google Scholar 3. : Competence in and learning curve for pediatric renal transplant using cumulative sum analyses. J Urol 2019; 201: 1199. Link, Google Scholar © 2019 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 201Issue 6June 2019Page: 1027-1028 Advertisement Copyright & Permissions© 2019 by American Urological Association Education and Research, Inc.MetricsAuthor Information Mark P. Cain More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,743
Score d'incertitude au seuil0,367

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,004
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0010,001
Communication savante0,0040,003
Science ouverte0,0010,002
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,7430,503

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,010
Tête enseignante GPT0,249
Écart entre enseignants0,239 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2019
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueThe Journal of UrologyMême sujetPediatric Urology and Nephrology StudiesTravaux en français237 207