Lessons learned from <scp>A</scp> sian <scp>U</scp> rology
Notice bibliographique
Résumé
Glasgow has been in the news a lot this year. The fantastic Commonwealth Games were followed by an excellent Société Internationale d'Urologie (SIU) meeting with its unique Scottish flavour. This month we move our attention to two other nations that have hosted the SIU – China and India. We present two large studies, which are well worth your reading pleasure, not just because of their sheer size but also for their messages and citability. Since the initial discovery in 2007 of ketamine-associated cystitis by Shahani et al. 1 in Canada, scattered cases had also been reported in some European countries including the UK. However, the gravity of this ketamine problem was subsequently found to be far greater in Asian countries, particularly Hong Kong, Taiwan, Mainland China and Malaysia. Although ketamine-associated uropathy is a medical problem, it takes root in much deeper social problems, and in turn perpetuates these problems and produces new issues. As the devastating effect of ketamine abuse on the society is unveiled, there are numerous collaborations between Hong Kong and Mainland China to combat it. Government and non-government organisations join hands in educating the public, youths in particular, on the irreversible damage that ketamine can cause to body and mind. More stringent laws have been enacted against drug traffickers, with high-profile enforcements. Abundant funds have also been set up to encourage research in this field. With all these concerted efforts, according to official statistics in Hong Kong and Mainland China, the number of ketamine abusers is on the decline. However, this is no reason for complacency, as the numbers of abusers we capture probably represent only the ‘tip of the iceberg’. More and more evidence is indicating a substantial population of undiscovered ketamine abusers, who sniff ketamine stealthily at home for years without being noticed by their families. Any effective solution to ketamine-associated uropathy 2 must involve identifying and extending help to this vast hidden group of abusers. The problem is daunting by its sheer magnitude. There are in addition, delicate issues of privacy, rights and self-esteem that require great sensitivity and patience. It is a job that requires experts from different specialties to cooperate. Urologists must work with social workers, teachers, paediatricians, psychiatrists, psychologists, nurses, occupational therapists and others. Last but not least, parental and family support is paramount in helping our youth to win this fight. For those endourologists busily treating stone disease we highlight the evolution of shockwave lithotripsy (SWL) over 25 years in >5000 patients 3. In many parts of the world, not just Asia, extracorporeal SWL (ESWL) has seen a drop in its popularity in parallel with an increase in the use of percutaneous nephrolithotomy (PCNL) and ureteroscopy. Patients seem to be more inclined to be stone-free with fewer interventions even if these are of an invasive nature. For those readers more interested in immediacy through our web journal, the Best of China virtual supplement is the one not to miss. There have been many calls for a BJUI Android app from our friends in the East. We are almost there! None disclosed.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,007 | 0,032 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,003 |
| Communication savante | 0,007 | 0,008 |
| Science ouverte | 0,003 | 0,004 |
| Intégrité de la recherche | 0,007 | 0,015 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,032 | 0,013 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».