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Enregistrement W2120929929 · doi:10.1093/jnci/95.9.685

Re: Is Less More? Lessons in Radiation Schedules in Breast Cancer

2003· letter· en· W2120929929 sur OpenAlexaff
Timothy J. Whelan, Mark LeVine, JoAnne Julian

Notice bibliographique

RevueJNCI Journal of the National Cancer Institute · 2003
Typeletter
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueBreast Cancer Treatment Studies
Établissements canadiensMcMaster UniversityCancer Care Ontario
Organismes subventionnairesnon disponible
Mots-clésBreast cancerMedicineOncologyCancerMedical physicsInternal medicine

Résumé

récupéré en direct d'OpenAlex

We thank Drs. Sartor and Tepper for their editorial on our randomized trial of breast irradiation schedules after lumpectomy for women with lymph node-negative breast cancer. They conclude that the use of the shorter approach can produce excellent local control with acceptable cosmesis in carefully selected patients (1). This conclusion is based on questions about the generalizability of the trial results and the possibility of physician bias in the selection of patients for the study. We feel that the methodologic points they have raised are open to question. Patients who fit the inclusion criteria for a trial are screened, and those who satisfy the exclusion criteria are then excluded. The remaining eligible patients are approached for consent. The results of our study are most easily generalized to the population of patients represented by these eligible patients. Data are rarely reported from oncology trials that pertain to the generalizability of trial results. In our trial, the numbers of patients screened, excluded, and randomly assigned to treatment groups were reported. A total of 3732 patients were screened and met the inclusion criteria; 1303 were then excluded (2). The most common reasons for ineligibility were primarily technical or administrative, including an axillary lymph node dissection not performed (29%), the presence of invasive cancer or intraductal cancer at the margin of excision (18%), enrollment in another clinical trial (17%), breast deemed too large for satisfactory radiation (6%), or the inability to commence radiation in a timely fashion (5%). We agree with the authors that the results of this trial do not apply to patients with positive margins of excision or very large breast size. These patients were ineligible for the study. We disagree, however, that the results do not apply to patients with close margins of excision, lobular carcinoma, or estrogen receptor-negative tumors. These patients were included in the trial, and there is no evidence in any of these subgroups that the rapid fractionation schedule was less effective than the longer traditional schedule. The randomized trials that have demonstrated the efficacy of breast irradiation in women who have had breast-conserving surgery dictated that margins had to be free of tumor as an inclusion criterion (3,4). The notion that close margins increase local recurrence is based on small retrospective studies. With respect to ductal carcinoma in situ, we agree that these patients were not included in our trial; hence the results may not directly apply to them. However, it is likely that the shorter radiation schedule would work in a less aggressive stage of disease. Drs. Sartor and Tepper further suggest that one of the reasons for success of the rapid fractionation schedule may be dependent on careful selection of patients with a low likelihood of substantial burden of residual malignant cells in the breast after breast-conserving surgery. With regard to this speculation, women at high risk for local recurrence, who were younger than 50 years and whose tumor was greater than 2 cm in diameter, were eligible for this trial. There was no evidence to suggest that the rapid fractionation schedule was any less effective in any of these subsets, as seen in Table 2 of our article (2). The authors also suggest that, because nearly half of the patients refused randomization, physician bias may have influenced the selection of patients for the trial. It should be pointed out that a consent rate of 50% is typical for most randomized trials and is considered respectable. The main reason for non-consent of eligible patients in this study was patient choice, not physician choice. Potential for selection bias, therefore, is not likely, in our opinion. Drs. Sartor and Tepper point out the potential advantages of accelerated partial breast irradiation techniques, which have not been evaluated in randomized trials. We agree that currently such techniques must be considered experimental. In contrast, the rapid fractionation schedule for whole breast irradiation has already been evaluated in a large randomized trial and shown to provide results similar to standard approaches. It represents an important advance in breast-conserving therapy, providing an effective treatment that is more convenient and less costly. For the reasons stated above, we believe the results of this study are generalizable and should be shared with all women with lymph node-negative breast cancer who fit the eligibility criteria of the trial. It has been estimated that, after breast-conserving surgery, as many as 14%–18% of women per year in the United States may not receive radiation therapy (5,6). The reasons for this are unclear but appear to be related to older age (and as described by the editorialists), health insurance, income, and distance from treatment centers. In such situations, the shorter radiation schedule may improve access and increase the number of women able to receive breast irradiation.

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)0,005
score de la tête « metaresearch » (Gemma)0,031
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,041
Score d'incertitude au seuil0,044

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,031
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0030,003
Communication savante0,0030,005
Science ouverte0,0020,001
Intégrité de la recherche0,0410,048
Charge utile insuffisante (le modèle a refusé de juger)0,0120,006

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 Opus0,042
Tête enseignante GPT0,340
Écart entre enseignants0,298 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

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
Publié2003
Routes d'admission1
Résumé présentnon

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