Should de-escalation of bone-targeting agents be standard of care?
Notice bibliographique
Résumé
Thank you for the letter from Liu et al. regarding our 2015 review [1.Ibrahim M.F.K. Mazzarello S. Shorr R. et al.Should de-escalation of bone-targeting agents be standard of care for patients with bone metastases from breast cancer? A systematic review and meta-analysis.Ann Oncol. 2015; 26: 2205-2213Abstract Full Text Full Text PDF PubMed Scopus (37) Google Scholar]. While we appreciate their view that our review may have changed broader clinical practice, while flattered, we are unaware of evidence supporting this premise. Our conclusions indicate that our results ‘appear’ to show no difference in events with de-escalation of bone-targeted agents but that results of ongoing studies were eagerly anticipated. We are happy to address the authors’ perspectives. First, they queried why we did not include data from Lipton’s subsequent analysis [2.Lipton A. Steger G.G. Figueroa J. et al.Extended efficacy and safety of denosumab in breast cancer patients with bone metastases not receiving prior bisphosphonate therapy.Clin Cancer Res. 2008; 14: 6690-6696Crossref PubMed Scopus (138) Google Scholar] of his prior study [3.Lipton A. Steger G.G. Figueroa J. et al.Randomized active-controlled phase II study of denosumab efficacy and safety in patients with breast cancer-related bone metastases.J Clin Oncol. 2007; 25: 4431-4437Crossref PubMed Scopus (321) Google Scholar]. As our review evaluated only de-escalation of the same dose of bone-targeted agent, we compare the data for denosumab 180 mg q4-weekly with q12-weekly. The later publication contains no new data for this question. Second, the authors suggest the choice of a random effects model for meta-analyses based on the low values of I2 may be more prone to find evidence of no differences between interventions. However, we feel variations between studies in several capacities exist, justifying use of random effects models. Numerically, random effects meta-analyses with no statistical heterogeneity will produce analogous estimates to those from fixed effects meta-analyses, and this was the case for five of six meta-analyses presented (for the remaining outcome, clinical interpretations remain unchanged). The authors also point to our inclusion of data from abstracts as problematic. We agree abstracts represent a less transparent account of studies than full publications, and we previously noted this limitation. We acknowledge some of the inaccuracies noted. The authors noted that our search included errors in certain lines. We have confirmed with our librarian that these transcription errors were not part of the formal search run. The authors are correct that the study characteristics listing for the trial by Amoradi [4.Amadori D. Aglietta M. Alessi B. et al.Efficacy and safety of 12-weekly versus 4-weekly zoledronic acid for prolonged treatment of patients with bone metastases from breast cancer (ZOOM): a phase 3, open-label, randomised, non-inferiority trial.Lancet Oncol. 2013; 14: 663-670Abstract Full Text Full Text PDF PubMed Scopus (150) Google Scholar] should indicate 12–15 months of prior zoledronate; fortunately this will not impact findings from meta-analyses. The authors mentioned that they were unable to find the data for breast cancer patients in Fizazi et al. [5.Fizazi K. Lipton A. Mariette X. et al.Randomized phase II trial of denosumab in patients with bone metastases from prostate cancer, breast cancer, or other neoplasms after intravenous bisphosphonates.J Clin Oncol. 2009; 27: 1564-1571Crossref PubMed Scopus (467) Google Scholar], nor within the additional results within www.clincialtrials.gov. We have reviewed these sources again and confirm that the authors are correct. While the trial’s registration record provides additional results, this does not include outcomes by tumour type. Lastly, the authors are correct that there is a discrepancy in the SRE-related data provided in the main text and the abstract; the confidence interval provided in the results section is correct. We thank the authors for their input and apologize for these inaccuracies to readers. While we vary in opinion regarding the extent to which these inaccuracies effect the quality and conclusion of our review, we can report that (as per our PROSPERO registration from June 2017) we are in the latter stages of updating our 2015 review with new data available. We encourage all systematic reviewers to register in PROSPERO, and we will ensure that these adjustments are incorporated in our update. We are also leading a research study addressing this important question (NCT02721433), and we look forward to sharing this data in the future, providing additional updates of meta-analyses for clinicians and researchers. None declared.
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 | 0,049 | 0,280 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,004 | 0,005 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,002 | 0,004 |
| Communication savante | 0,004 | 0,013 |
| Science ouverte | 0,005 | 0,003 |
| Intégrité de la recherche | 0,027 | 0,031 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,005 |
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 ».