ArticleCancer medicine2023
Implementation of the measure of case discussion complexity to guide selection of prostate cancer patients for multidisciplinary team meetings.
Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- Validation of the Measure of Case-Discussion Complexity and the Metric for the Observation of Decision-Making for Streamlining Workflow and Evaluating Decision-Making in US Tumor Boards.Cancer medicine · 2026Article
- Editorial: Multidisciplinary Team Conference, What Is It Good For?Annals of surgical oncology · 2025Article
- Article
- Lower MeDiC score is associated with non-referral to multidisciplinary team meeting discussion in bladder cancer patients: a nationwide and population-based study.Acta oncologica (Stockholm, Sweden) · 2025Article
- Implementation of streamlining measures in selecting and prioritising complex cases for the cancer multidisciplinary team meeting: a mini review of the recent developments.Frontiers in health services · 2024Review
- Implementation of the measure of case discussion complexity to guide selection of prostate cancer patients for multidisciplinary team meetings.Cancer medicine · 2023Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMultidisciplinary team meetings (MDTMs) provide an integrated team approach to ensure individualized and evidence-based treatment recommendations and best expert advice in cancer care. A growing number of patients and more complex treatment options challenge MDTM resources and evoke needs for case prioritization. In this process, decision aids could provide streamlining and standardize evaluation of case complexity. We applied the recently developed Measure of Case Discussion Complexity, MeDiC, instrument with the aim to validate its performance in another healthcare setting and diagnostic area as a means to provide cases for full MDTM discussions.
methodsThe 26-item MeDiC instrument evaluates case complexity and was applied to 364 men with newly diagnosed prostate cancer in Sweden. MeDiC scores were generated from individual-level health data and were correlated with clinicopathological parameters, healthcare setting, and the observed clinical case selection for MDTMs.
resultsApplication of the MeDiC instrument was feasible with rapid scoring based on available clinical data. Patients with high-risk prostate cancers had significantly higher MeDiC scores than patients with low or intermediate-risk cancers. In the total study, population affected lymph nodes and metastatic disease significantly influenced MDTM referral, whereas comorbidities and age did not predict MDTM referral. When individual patient MeDiC scores were compared to the clinical MDTM case selection, advanced stage, T3/T4 tumors, involved lymph nodes, presence of metastases and significant physical comorbidity were identified as key MDTM predictive factors.
conclusionsApplication of the MeDiC instrument in prostate cancer may be used to streamline case selection for MDTMs in cancer care and may complement clinical case selection.
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