Response to Weltman and Fleury Malheiros, re Lassman et al.
Notice bibliographique
Résumé
In Reply to Weltman and Fleury Malheiros: We thank Drs. Weltman and Fleury Malheiros for their comments on our recent article.1 We agree that our analyses were performed on a retrospective dataset, and interpretations are thus subject to limitations and potential biases inherent to any retrospective study. For example, as we discussed in the article, neither central review of pathology nor imaging was performed. Multivariate analyses attempted to control for potential confounding variables, but only a randomized prospective study would definitively address this concern. However, we believe that our conclusions (and cross-comparisons) are supported not only by our own observations but also by recent data and treatment trends in neuro-oncology. For example, in our study, treatment group imbalances did not contribute to differences in outcome in the Cox model. Groups were reasonably well balanced for potential confounders, such as performance status. In addition, Weltman and Fleury Malheiros suggest that standard of care for anaplastic oligoendrogliomas includes radiotherapy as part of the initial treatment regimen. We agree that radiotherapy has well-established efficacy and, for many years, was the standard approach. However, treatment options have evolved since the initial studies during the 1960s–1980s cited by Drs. Weltman and Malheiros. It is now well established that oligodendrogliomas, especially those harboring 1p19q co-deletion, respond to chemotherapy. For example, the recently publicized long-term follow-up of RTOG 9402 demonstrated that chemo-radiotherapy doubled median survival relative to radiotherapy alone in 1p19q co-deleted cases (14.7 vs. 7.3 years).2 Moreover, the German NOA-04 trial of newly diagnosed anaplastic gliomas also suggested that primary chemotherapy is equi-efficacious as primary radiotherapy.3 Furthermore, survival with 1p19q codeleted anaplastic oligodendrogliomas is at least several years. Accordingly, radiotherapy-induced dementia as a late toxicity4 is a real concern. Consequently, many neuro-oncologists advocate for chemotherapy alone and defer radiotherapy until disease progression in 1p19q codeleted cases. The same concern is well established in the controversies surrounding late neuro-cognitive toxicity from early radiotherapy in the treatment of low-grade gliomas, primary central nervous system lymphoma, and resected brain metastases. Therefore, the acknowledged limitations of our retrospective design notwithstanding, our results are concordant with these studies suggesting that overall survival was not compromised by deferring radiotherapy.1 Absent a clear survival advantage, deferred radiotherapy in favor of chemotherapy alone is certainly a reasonable initial strategy. We are not alone. For example, 42% of neuro-oncologists surveyed in 2005 recommended deferring radiotherapy in codeleted cases.5 Similarly, 57% of patients in our retrospective dataset who receive a diagnosis of codeleted tumors since 2005 were treated with chemotherapy alone (almost exclusively temozolomide).6 Therefore, as stated in our publication, “subject to the limitations of study design, our data suggest that initial treatment with chemotherapy alone may be a reasonable option for patients with 1p19q codeleted tumors.”1 Regardless of advised therapy, in our clinical experience, many patients refuse radiotherapy because of perceived concerns about neuro-toxicity. Therefore, although ongoing or future prospective studies may show that deferred radiotherapy adversely affects survival, concerns about cognitive injury are important in determining optimal therapy, and survival may not be the only end point of clinical importance. The CATNON or CODEL phase III trials (for non- or codeleted anaplastic gliomas, respectively) may help to assess quality of life outcomes. Clearly, neuro-oncology is a multidisciplinary field, and treatment requires individualization that depends on discussion among both physicians and patients of risks and benefits of various strategies. We thank the Oligodendroglioma Study Group from which this work originated. Conflict of interest statement. A.B.L., T.F.C., N.A.P., J.G.C., P.Y.W., F.G.K., and W.P.M. consulted for and/or received honoraria from Schering Corp. and/or Merck & Co. T.F.C., N.A.P., K.D.A., H.I.R., S.A.W., L.E.A., and A.B.L. consulted for Genentech/Roche. A.B.L. and K.D.A. consulted for Bristol-Myers Squibb. A.B.L. consulted for Abbott, Campus Bio, Cephalon, Eisai, GlaxoSmithKline, and Imclone. T.F.C. consulted for Merck Serano and Novartis. A.B.L. and M.C.C. formerly served and N.A.P. and S.A.W. currently serve on a speaker's bureau for Merck & Co. (formerly Schering Corp.). N.A.P. serves on a speaker's bureau for Genentech. A.B.L. and L.E.A. received research funding from Merck & Co. (formerly Schering Corp.) and Sigma Tau Pharmaceuticals. A.B.L. received research funding from Keryx Biopharmaceuticals, Astra Zeneca, and Genentech/Roche. P.Y.W. received research funding from Merck & Co. B.J.F. received research funding from Roche. L.E.A. became an employee of Roche Pharmaceuticals after this work was conducted. M.C.C. served as a consultant, advisor, or on a speaker's bureau for Merck Serono, Sigma Tau, and Roche. T.F.C. consulted for Merck Serono, and Novartis.
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 | 0,009 | 0,061 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,002 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,004 |
| Communication savante | 0,005 | 0,005 |
| Science ouverte | 0,005 | 0,003 |
| Intégrité de la recherche | 0,032 | 0,045 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,011 |
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 ».