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Survival, treatment regimens and medical costs of women newly diagnosed with metastatic triple-negative breast cancer.

ABSTRACT: Individuals diagnosed with metastatic triple-negative breast cancer (mTNBC) suffer worse survival rates than their metastatic non-TNBC counterparts. There is little information on survival, treatment patterns, and medical costs of mTNBC patients in Asia. Therefore, this study aimed to examine 5-year survival, regimens of first-line systemic therapy, and healthcare costs of mTNBC patients in Taiwan. Adult females newly diagnosed with TNBC and non-TNBC as well as their survival data, treatment regimens and costs of health services were identified and retrieved from the Cancer Registry database, Death Registry database, and National Health Insurance (NHI) claims database. A total of 9691 (19.27%) women were identified as TNBC among overall BC. The 5-year overall survival rate of TNBC and non-TNBC was 81.28% and 86.50%, respectively, and that of mTNBC and metastatic non-TNBC was 10.81% and 33.46%, respectively. The majority of mTNBC patients received combination therapy as their first-line treatment (78.14%). The 5-year total cost in patients with metastatic non-TNBC and with mTNBC was NTD1,808,693 and NTD803,445, respectively. Higher CCI scores were associated with an increased risk of death and lower probability of receiving combination chemotherapy. Older age was associated with lower 5-year medical costs. In sum, mTNBC patients suffered from poorer survival and incurred lower medical costs than their metastatic non-TNBC counterparts. Future research will be needed when there are more treatment options available for mTNBC patients.

SUBMITTER: Hsu JY

PROVIDER: S-EPMC8760241 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:ObjectivesMen diagnosed with non-metastatic prostate cancer require standardised and robust long-term prognostic information to help them decide on management. Most currently-used tools use short-term and surrogate outcomes. We explored the evidence base in the literature on available pre-treatment, prognostic models built around long-term survival and assess the accuracy, generalisability and clinical availability of these models.DesignSystematic literature review, pre-specified and registered on PROSPERO (CRD42018086394).Data sourcesMEDLINE, Embase and The Cochrane Library were searched from January 2000 through February 2018, using previously-tested search terms.Eligibility criteriaInclusion required a multivariable model prognostic model for non-metastatic prostate cancer, using long-term survival data (defined as ≥5 years), which was not treatment-specific and usable at the point of diagnosis.Data extraction and synthesisTitle, abstract and full-text screening were sequentially performed by three reviewers. Data extraction was performed for items in the CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies checklist. Individual studies were assessed using the new Prediction model Risk Of Bias ASsessment Tool.ResultsDatabase searches yielded 6581 studies after deduplication. Twelve studies were included in the final review. Nine were model development studies using data from over 231 888 men. However, only six of the nine studies included any conservatively managed cases and only three of the nine included treatment as a predictor variable. Every included study had at least one parameter for which there was high risk of bias, with failure to report accuracy, and inadequate reporting of missing data common failings. Three external validation studies were included, reporting two available models: The University of California San Francisco (UCSF) Cancer of the Prostate Risk Assessment score and the Cambridge Prognostic Groups. Neither included treatment effect, and both had potential flaws in design, but represent the most robust and usable prognostic models currently available.ConclusionFew long-term prognostic models exist to inform decision-making at diagnosis of non-metastatic prostate cancer. Improved models are required to inform management and avoid undertreatment and overtreatment of non-metastatic prostate cancer.

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Survival, treatment regimens and medical costs of women newly diagnosed with metastatic triple-negative breast cancer.

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