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Enregistrement W2606256303 · doi:10.1111/iju.13351

Editorial Comment from Dr Porta <i>et al</i>. to Patterns of care among patients receiving sequential targeted therapies for advanced renal cell carcinoma: A retrospective chart review in the <scp>USA</scp>

2017· editorial· en· W2606256303 sur OpenAlexaff
Camillo Porta, Laura Cosmai, Pietro Previtali

Notice bibliographique

RevueInternational Journal of Urology · 2017
Typeeditorial
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueEconomic and Financial Impacts of Cancer
Établissements canadiensUniversity Hospital Foundation
Organismes subventionnairesnon disponible
Mots-clésMedicineRenal cell carcinomaOncology

Résumé

récupéré en direct d'OpenAlex

In this issue of the journal, Pal et al. reported on patterns of care among metastatic renal cell carcinoma in the USA.1 At present, the metastatic renal cell carcinoma therapeutic landscape in industrialized countries resembles, to a certain extent, the one shown therein: a growing number of metastatic renal cell carcinoma patients are receiving several lines of treatments sequentially, and this abundance of options has undoubtedly improved their survival. However, this situation also encompasses some risks, irrespective of the fact that unexpected disparities between countries in the (once) rich and industrialized Western world are emerging. First, the availability of so many active agents could also contribute to non-virtuous behaviors. Indeed, if one can easily move from one agent to another in the event of toxicities, even only a few days after commencing the treatment, why try to adapt the treatment dosage and schedule, and/or aggressively apply supportive measures in order to keep the treatment going? An unusual scenario, one might say. Not really; this is quite often observable in everyday clinical practice, although almost no scientific papers have ever dealt with this issue. If so, it is clear that all the knowledge we have gathered over the years might simply vanish at the first difficulty, or in the presence of a complaint (although often justified) from the patient.2 On the whole, is this possibility an opportunity, or a pitfall? Both, but with a disturbing trend towards the latter case. Indeed, managing toxicities by just shifting from one agent to the other, just because the latter is perceived as (or even is) less toxic, not only deprives a given patient of an option (which, in many countries, cannot be resumed later), but also potentially has a detrimental impact on the treatment outcome.3 Despite a fast approval system empowered by the European Medicines Agency, a second emerging issue is the disparity among European countries in the real availability of novel anticancer agents. Several years ago, Tim Eisen strongly criticized the British system for denying the reimbursability of several kidney cancer drugs due to economic considerations.4 Although difficult to accept from a patient's perspective, such a decision was based on serious pharmacoeconomical and macroeconomical considerations. What in recent years has happened in Italy is definitely more difficult to understand; denying highly active treatments to cancer patients just because the Italian Agency for Drugs “fights” pharmaceutical companies over drug prices is really hard to accept. This is just an ultimately useless way to save money, without any serious attempt to prioritize expenses by evaluating how much expense is worthwhile for a given clinical benefit. That's why the magnitude of clinical benefit scale recently empowered by the European Society of Oncology should be applauded, offering governments sound instruments to decide if, how and where to allocate resources in a tough global economic situation.5 However, the subsequent necessary step would (and should) be the real application of such an instrument. The choice of not taking any responsibility, but rather to pass these responsibilities on to those who produce and sell the drugs, thus denying patients (i.e. those whom a government regulatory body should serve) therapeutic opportunities and probably months of life, is not the answer. Fortunately enough, a medical oncologist now chairs the Italian Agency for Drugs, hopefully bringing patients (and not drugs) back to center stage. CP acted as a consultant and/or speaker for Pfizer, Novartis, BMS, Ipsen, Eisai, EUSA, Peloton and Jannsen. LC and PP declare no conflict of interest.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,363
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0020,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,012
Tête enseignante GPT0,267
Écart entre enseignants0,255 · 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 tête enseignante, 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
Publié2017
Routes d'admission1
Résumé présentoui

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