| 1. |
- Egeler, M. D., et al.
(författare)
-
Understanding quality of life issues in patients with advanced melanoma: Phase 1 and 2 in the development of the EORTC advanced melanoma module
- 2024
-
Ingår i: European Journal of Cancer. - : Elsevier. - 0959-8049 .- 1879-0852. ; 207
-
Tidskriftsartikel (refereegranskat)abstract
- Aims: We aimed to develop a European Organization for Research and Treatment of Cancer (EORTC) Quality of Life (QoL) module tailored for patients with advanced (resectable or unresectable stage III/IV) melanoma receiving immune checkpoint inhibitors or targeted therapy. Methods: Following the EORTC QoL Group module development guidelines, we conducted phases 1 and 2 of the development process. In phase 1, we generated a list of health-related (HR)QoL issues through a systematic literature review and semi-structured interviews with healthcare professionals (HCPs) and patients with advanced melanoma. In phase 2, these issues were converted into questionnaire items to create the preliminary module. Results: Phase 1: we retrieved 8006 articles for the literature review, of which 35 were deemed relevant, resulting in 84 HRQoL issues being extracted to create the initial issue list. Semi-structured interviews with 18 HCPs and 28 patients with advanced melanoma resulted in 28 issues being added to the initial issue list. Following EORTC module development criteria, 26 issues were removed, and two issues were added after review by patient advocates. Phase 2: To ensure uniformity and avoid duplication, 16 issues were consolidated into eight items. Additionally, an independent expert contributed one new item, resulting in a preliminary module comprising 80 HRQoL items. Conclusion: We identified a range of HRQoL issues (dry skin, xerostomia, and arthralgia) relevant to patients with stage III/IV melanoma. Future module development phases will refine the questionnaire. Once completed, this module will enable standardized assessment of HRQoL in patients with (locally) advanced melanoma.
|
|
| 2. |
- Bagge, Roger Olofsson, et al.
(författare)
-
Population-Based Validation of the MIA and MSKCC Tools for Predicting Sentinel Lymph Node Status
- 2024
-
Ingår i: JAMA Surgery. - : AMER MEDICAL ASSOC. - 2168-6254 .- 2168-6262.
-
Tidskriftsartikel (refereegranskat)abstract
- Importance Patients with melanoma are selected for sentinel lymph node biopsy (SLNB) based on their risk of a positive SLN. To improve selection, the Memorial Sloan Kettering Cancer Center (MSKCC) and Melanoma Institute Australia (MIA) developed predictive models, but the utility of these models remains to be tested.Objective To determine the clinical utility of the MIA and MSKCC models.Design, Setting, and Participants This was a population-based comparative effectiveness research study including 10 089 consecutive patients with cutaneous melanoma undergoing SLNB from the Swedish Melanoma Registry from January 2007 to December 2021. Data were analyzed from May to August 2023.Main Outcomes and Measures, The predicted probability of SLN positivity was calculated using the MSKCC model and a limited MIA model (using mitotic rate as absent/present instead of count/mm(2) and excluding the optional variable lymphovascular invasion) for each patient. The operating characteristics of the models were assessed and compared. The clinical utility of each model was assessed using decision curve analysis and compared with a strategy of performing SLNB on all patients.Results Among 10 089 included patients, the median (IQR) age was 64.0 (52.0-73.0) years, and 5340 (52.9%) were male. The median Breslow thickness was 1.8 mm, and 1802 patients (17.9%) had a positive SLN. Both models were well calibrated across the full range of predicted probabilities and had similar external area under the receiver operating characteristic curves (AUC; MSKCC: 70.8%; 95% CI, 69.5-72.1 and limited MIA: 69.7%; 95% CI, 68.4-71.1). At a risk threshold of 5%, decision curve analysis indicated no added net benefit for either model compared to performing SLNB for all patients. At risk thresholds of 10% or higher, both models added net benefit compared to SLNB for all patients. The greatest benefit was observed in patients with T2 melanomas using a threshold of 10%; in that setting, the use of the nomograms led to a net reduction of 8 avoidable SLNBs per 100 patients for the MSKCC nomogram and 7 per 100 patients for the limited MIA nomogram compared to a strategy of SLNB for all.Conclusions and Relevance This study confirmed the statistical performance of both the MSKCC and limited MIA models in a large, nationally representative data set. However, decision curve analysis demonstrated that using the models only improved selection for SLNB compared to biopsy in all patients when a risk threshold of at least 7% was used, with the greatest benefit seen for T2 melanomas at a threshold of 10%. Care should be taken when using these nomograms to guide selection for SLNB at the lowest thresholds.
|
|
