Dataset Information

Impact of deviation from guideline recommended treatment on breast cancer survival in Asia.

ABSTRACT: Breast cancer survival has improved with significant progress in treatment and disease management. However, compliance with treatment varies. Treatment guidelines for older patients are unclear. We aim to identify predictors of noncompliance with recommended therapy in a large breast cancer population and assess the impact of noncompliance on survival. Our study included 19,241 non-metastatic female breast cancer patients, of whom 3,158 (16%) died within 10 years post-diagnosis (median survival?=?5.8 years). We studied the association between treatment noncompliance and factors with logistic regression, and the impact of treatment noncompliance on survival with a flexible parametric survival model framework. The highest proportion of noncompliance was observed for chemotherapy (18%). Predictors of noncompliance with chemotherapy, radiotherapy and endocrine therapy included age, tumor size, nodal involvement and subtype (except radiotherapy). Factors associated with not receiving surgery included age and subtype. Treatment noncompliance was associated with worse overall survival for surgery (HR: 2.26 [1.80-2.83]), chemotherapy (1.25 [1.11-1.41]), radiotherapy (2.28 [1.94-2.69]) and endocrine therapy (1.70 [1.41-2.04]). Worse survival was similarly observed in older patients for whom guidelines generally do not apply. Our results highlight the importance of following appropriate treatment as recommended by current guidelines. Older patients may benefit from similar recommendations.

SUBMITTER: Ho PJ

PROVIDER: S-EPMC6987174 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Impact of deviation from guideline recommended treatment on breast cancer survival in Asia.

Ho Peh Joo PJ Ow Samuel Guan Wei SGW Sim Yirong Y Liu Jenny J Lim Swee Ho SH Tan Ern Yu EY Tan Su-Ming SM Lee Soo Chin SC Tan Veronique Kiak-Mien VK Yap Yoon-Sim YS Chay Wen Yee WY Tan Benita Kiat Tee BKT Wong Fuh Yong FY Li Jingmei J Hartman Mikael M

Scientific reports 20200128 1

Breast cancer survival has improved with significant progress in treatment and disease management. However, compliance with treatment varies. Treatment guidelines for older patients are unclear. We aim to identify predictors of noncompliance with recommended therapy in a large breast cancer population and assess the impact of noncompliance on survival. Our study included 19,241 non-metastatic female breast cancer patients, of whom 3,158 (16%) died within 10 years post-diagnosis (median survival ...[more]

PMID: 31992769

Similar Datasets

Project description:BackgroundAdherence to cancer screening is important for cancer survivors because they are at high risk of subsequent cancer diagnoses or recurrence. We assessed adherence to breast, cervical, and colorectal cancer-(CRC)-screening guidelines and evaluated demographic disparities among a population-based sample of survivors.MethodsA representative sample of Utah survivors diagnosed from 2012-2018 with any reportable invasive cancer was selected from central cancer registry records for a survey about survivorship needs. We estimated the proportion of eligible survivors adhering to U.S. Preventive Services Task Force screening guidelines and calculated risk ratios and 95% confidence intervals. Analyses were age-adjusted and weighted to account for sample design and nonresponse.ResultsAnd 1421 survivors completed the survey (57.2% response rate). Screening adherence was 74.4% for breast, 69.4% for cervical, and 79.7% for CRC. Rural residents were more likely to adhere to breast cancer screening than urban residents (86.1% vs. 72.7%; adjusted RR = 1.19, CI = 1.05, 1.36). Higher educational attainment was associated with increased adherence to cervical and colorectal cancer screening. Younger age was associated with greater adherence to cervical cancer screening (p = 0.006) but lower adherence to CRC screening (p = 0.003). CRC screening adherence was lower among the uninsured and those without a primary care provider (45.6%) compared to those with a regular provider (83.0%; adjusted RR = 0.57, CI = 0.42, 0.79).ConclusionsSurveys based on samples from central cancer registries can provide population estimates to inform cancer control. Findings demonstrate work is needed to ensure all Utah cancer survivors obtain recommended cancer screenings. Efforts should focus particularly on increasing uptake of breast and cervical cancer screening and reducing demographic disparities in CRC screening.PrecisDespite high risk for subsequent cancer diagnosis, Utah cancer survivors are not all obtaining recommended breast, cervical, and colorectal cancer screenings. This presents a significant healthcare gap.

Project description:Objective To identify and descriptively compare medication recommendations among low back pain (LBP) clinical practice guidelines (CPG). Methods We searched PubMed, Cochrane Database of Systematic Review, Index to Chiropractic Literature, AMED, CINAHL, and PEDro to identify CPGs that described the management of mechanical LBP in the prior five years. Two investigators independently screened titles and abstracts and potentially relevant full text were considered for eligibility. Four investigators independently applied the Appraisal of Guidelines for Research and Evaluation (AGREE) II instrument for critical appraisal. Data were extracted for pharmaceutical intervention, the strength of recommendation, and appropriateness for the duration of LBP. Results 316 citations were identified, 50 full-text articles were assessed, and nine guidelines with global representation met the eligibility criteria. These CPGs addressed pharmacological treatments with or without non-pharmacological treatments. All CPGS focused on the management of acute, chronic, or unspecified duration of LBP. The mean overall AGREE II score was 89.3% (SD 3.5%). The lowest domain mean score was for applicability, 80.4% (SD 5.2%), and the highest was Scope and Purpose, 94.0% (SD 2.4%). There were ten classifications of medications described in the included CPGs: acetaminophen, antibiotics, anticonvulsants, antidepressants, benzodiazepines, non-steroidal anti-inflammatory drugs (NSAIDs), opioids, oral corticosteroids, skeletal muscle relaxants (SMRs), and atypical opioids. Conclusions Nine CPGs, included ten medication classes for the management of LBP. NSAIDs were the most frequently recommended medication for the treatment of both acute and chronic LBP as a first line pharmacological therapy. Acetaminophen and SMRs were inconsistently recommended for acute LBP. Meanwhile, with less consensus among CPGs, acetaminophen and antidepressants were proposed as second-choice therapies for chronic LBP. There was significant heterogeneity of recommendations within many medication classes, although oral corticosteroids, benzodiazepines, anticonvulsants, and antibiotics were not recommended by any CPGs for acute or chronic LBP. Supplementary Information The online version contains supplementary material available at 10.1186/s12998-022-00435-3.

Project description:BackgroundBreast cancer (BC) poses a serious threat to human health. Disulfidptosis is a recently discovered form of cell death associated with cancer prognosis and progression. However, the relationship between BC and disulfidptosis remains unclear.MethodsWe integrated single-cell sequencing and transcriptome sequencing in BC to assess the abundance and mutation status of disulfidptosis-associated genes (DAGs). Subsequently, we clustered the samples based on DAGs and constructed a prognostic model associated with disulfidptosis. Additionally, we performed pathway enrichment, immune response, and drug sensitivity analyses on the model. Finally, we validated the prognostic genes through Immunohistochemistry (IHC).ResultsThe single-cell analysis identified 21 cell clusters and 8 cell types. By evaluating the abundance of DAGs in different cell types, we found specific expression of the disulfidoptosis core gene SLC7A11 in mesenchymal stem cells (MSCs). Through unsupervised clustering of DAGs, we identified two clusters. Utilizing differentially expressed genes from these clusters, we selected 7 genes (AFF4, SLC7A11, IGKC, IL6ST, LIMD2, MAT2B, and SCAND1) through Cox and Lasso regression to construct a prognostic model. External validation demonstrated good prognostic prediction of our model. BC patients were stratified into two groups based on riskscore, with the high-risk group corresponding to a worse prognosis. Immune response analysis revealed higher TMB and lower TIDE scores in the high-risk group, while the low-risk group exhibited higher CTLA4/PD-1 expression. This suggests that both groups may respond to immunotherapy, necessitating further research to elucidate potential mechanisms. Drug sensitivity analysis indicated that dasatinib, docetaxel, lapatinib, methotrexate, paclitaxel, and sunitinib may have better efficacy in the low-risk group. Finally, Immunohistochemistry (IHC) validated the expression of prognostic genes, demonstrating higher levels in tumor tissue compared to normal tissue.ConclusionOur study has developed an effective disulfidptosis-related prognostic prediction tool for BC and provides personalized guidance for the clinical management and immunotherapy selection of BC patients.

Project description:BackgroundWomen with breast cancer have worse health outcomes with co-occurring type 2 diabetes, possibly due to suboptimal breast cancer treatment.MethodsWe created a cohort of women ages 66 to 85?y with stage I to III breast cancer from 1993 to 2012 from an integrated health care delivery system (n=1612) and fee-for-service Medicare beneficiaries (n=98,915), linked to Surveillance, Epidemiology, and End Results (SEER) data (total n=100,527). We evaluated associations between type 2 diabetes and other factors with undergoing guideline-concordant cancer treatment. We estimated ? tests for univariate analysis and relative risks (RRs) using multivariable log-binomial models for outcomes of (1) overall guideline-concordant treatment, (2) definitive surgical therapy (mastectomy or lumpectomy with radiation), (3) chemotherapy if indicated, and (4) endocrine therapy.ResultsOur cohort included 60% of subjects with stage 1 tumors, one quarter below 70 years old, 23% had diabetes, 35% underwent overall guideline-concordant treatment, 24% chemotherapy, and 83% endocrine therapy. Women with diabetes were less likely to undergo overall guideline-concordant treatment (RR: 0.96; 95% confidence interval: 0.94-0.98), and only slightly less likely to undergo guideline-concordant definitive surgical therapy (RR: 0.99; 95% confidence interval: 0.99-1.00). No differences were found for chemotherapy or endocrine therapy. Other factors significantly associated with a lower risk of guideline-concordant care were cancer stages II to III (vs. I; RR=0.47-0.69, P<0.0001), older age (vs. 66 to 69?y; RR=0.56-0.90, P<0.0001), higher comorbidity burden, and Medicaid dual-eligibility.ConclusionsDiabetes was associated with lower adherence to overall guideline-concordant breast cancer treatment. However, higher stage, older age, higher comorbidity burden, and Medicaid insurance were more strongly associated with lower use of guideline-concordant treatment. Given the heavy burden of breast cancer and diabetes, long-term outcomes analysis should consider guideline-concordant treatment.ImpactOther factors besides diabetes are more strongly associated with guideline-concordant breast cancer treatment.

Dataset Information

Impact of deviation from guideline recommended treatment on breast cancer survival in Asia.

Publications

Impact of deviation from guideline recommended treatment on breast cancer survival in Asia.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets