ArticleClinical and translational radiation oncology2022
Multidisciplinary Treatment of Non-Spine Bone Metastases: Results of a Modified Delphi Consensus Process.
Article in Clinical and translational radiation oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Implementation Strategies to Promote Short-Course Radiation for Bone Metastases.JAMA network open · 2024Trial
- Dissemination and Implementation-A Primer for Accelerating "Time to Translation" in Radiation Oncology.International journal of radiation oncology, biology, physics · 2025Review
- Practice and principles of stereotactic body radiation therapy for spine and non-spine bone metastases.Clinical and translational radiation oncology · 2024Article
- CT-guided percutaneous microwave ablation combined with bone cement injection for the treatment of transverse metastases: A case report.Open medicine (Warsaw, Poland) · 2023Article
Corrections and comments
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Authors and funding
21 authors at 5 institutions in 1 country.
Funding
Abstract
Purpose: Local treatment for bone metastases is becoming increasingly complex. National guidelines traditionally focus only on radiation therapy (RT), leaving a gap in clinical decision support resources available to clinicians. The objective of this study was to reach expert consensus regarding multidisciplinary management of non-spine bone metastases, which would facilitate standardizing treatment within an academic-community partnership. Methods and Materials: A multidisciplinary panel of physicians treating metastatic disease across the Memorial Sloan Kettering (MSK) Cancer Alliance, including community-based partner sites, was convened. Clinical questions rated of high importance in the management of non-spine bone metastases were identified via survey. A literature review was conducted, and panel physicians drafted initial recommendation statements. Consensus was gathered on recommendation statements through a modified Delphi process from a full panel of 17 physicians from radiation oncology, orthopaedic surgery, medical oncology, interventional radiology, and anesthesia pain. Consensus was defined a priori as 75% of respondents indicating "agree" or "strongly agree" with the consensus statement. Strength of Recommendation Taxonomy was employed to assign evidence strength for each statement. Results: Seventeen clinical questions were identified, of which 11 (65%) were selected for the consensus process. Consensus was reached for 16 of 17 answer statements (94%), of which 12 were approved after Round 1 and additional 4 approved after Round 2 of the modified Delphi voting process. Topics included indications for referral to surgery or interventional radiology, radiation fractionation and appropriate use of stereotactic approaches, and the handling of systemic therapies during radiation. Evidence strength was most commonly C (n = 7), followed by B (n = 5) and A (n = 3). Conclusions: Consensus among a multidisciplinary panel of community and academic physicians treating non-spine bone metastases was feasible. Recommendations will assist clinicians and potentially provide measures to reduce variation across diverse practice settings. Findings highlight areas for further research such as pathologic fracture risk estimation, pre-operative radiation, and percutaneous ablation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.