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    1. 9-Diagnostic accuracy and prediction increment of markers of epithelialmesenchymal transition to assess cancer cell detachment from primary tumors.pdf
  • 4区Q2影响因子: 2
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    2. Time to begin adjuvant chemotherapy and survival in breast cancer patients: a retrospective observational study using latent class analysis.
    作者:Downing Amy , Twelves Christopher , Forman David , Lawrence Gill , Gilthorpe Mark S
    期刊:The breast journal
    日期:2013-11-13
    DOI :10.1111/tbj.12209
    The analysis of time to treatment data and the evaluation of subsequent effects on health outcomes can be complex due to the nature of the data and the relationships amongst the variables. This study proposes an alternative method of analyzing such data using latent class analysis (LCA). The association between time to begin adjuvant chemotherapy after breast cancer surgery and survival was investigated using both "traditional" regression analysis and LCA. Women with breast cancer undergoing surgery and subsequent adjuvant chemotherapy in two English regions between January 01, 1998 and December 31, 2004 were identified from a linked cancer registry-Hospital Episode Statistics dataset (n = 10,366). Patient, tumor, and treatment information were extracted. A Cox proportional hazards model was used to analyze 5-year survival using regression analysis and LCA. Using "traditional" regression analysis, women beginning chemotherapy >10 weeks after surgery had worse survival in region 1 (HR = 1.49, 95% CI 1.13-1.95 compared to <3 weeks) but not region 2. LCA split the women into three groups representing short, medium, and long waits. The median time to begin chemotherapy in the "long" wait group was 70 (region 1) and 57 (region 2) days. In this group, increased time to begin chemotherapy was associated with worse survival (region 1 HR = 1.15, 95% CI 1.11-1.18; region 2 HR = 1.08, 95% CI 1.03-1.13 per week increase). LCA identified a group of 13-15% of women for whom a longer time to begin chemotherapy had an adverse effect on survival. This methodology provides an excellent framework in which to examine complex associations between the delivery of patient care and patient outcomes.
  • 1区Q1影响因子: 5.1
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    3. Health-related quality of life in lung cancer survivors: Latent class and latent transition analysis.
    期刊:Cancer
    日期:2015-01-06
    DOI :10.1002/cncr.29232
    BACKGROUND:Health-related quality of life (HRQOL) heterogeneity among cancer survivors may mask subgroups (classes) with different limitations and long-term outcomes. The authors determined the HRQOL classes that exist among lung cancer survivors, examined transitions among those classes over time, and compared survival outcomes of patients according to the classes present in the initial phase of care. METHODS:Lung cancer survivors in the Cancer Care Outcomes Research and Surveillance Consortium completed EuroQol 5-domain quality-of-life questionnaires 4.8 months (initial phase) and >1 year (survivorship phase) after diagnosis (n = 1396). Latent class analysis and latent transition analysis were used to determine HRQOL classes and transitions across time. Correlates of class membership were tested using multinomial logistic regression. Kaplan-Meier and Cox regression analyses were used to compare survival across class membership. RESULTS:Latent class analysis identified 4 classes at diagnosis and follow-up: 1) poor HRQOL, 2) pain-dominant impairment, 3) mobility/usual activities impairment, and 4) good HRQOL. Probabilities of remaining in the same class were .87, .85, .82, and .73 for classes 4, 1, 3, and 2, respectively. Younger age, lower income, lower education, comorbidities, and a history of depression/emotional problems were associated with a greater likelihood of being in classes 1, 2, or 3 at follow-up. Patients in classes 1 and 3 had significantly lower median survival estimates than patients in class 4 (4.8 years, 3.8 years, and 5.5 years, respectively; P < .001). CONCLUSIONS:Examining the heterogeneity of HRQOL in lung cancer populations allows the identification of classes with different limitations and long-term outcomes and, thus, guides tailored and patient-centered provision of supportive care.
  • 2区Q1影响因子: 3.5
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    4. Latent Class Analysis Reveals Distinct Subgroups of Patients Based on Symptom Occurrence and Demographic and Clinical Characteristics.
    作者:Miaskowski Christine , Dunn Laura , Ritchie Christine , Paul Steven M , Cooper Bruce , Aouizerat Bradley E , Alexander Kimberly , Skerman Helen , Yates Patsy
    期刊:Journal of pain and symptom management
    日期:2015-01-31
    DOI :10.1016/j.jpainsymman.2014.12.011
    CONTEXT:Cancer patients experience a broad range of physical and psychological symptoms as a result of their disease and its treatment. On average, these patients report 10 unrelieved and co-occurring symptoms. OBJECTIVES:The aims were to determine if subgroups of oncology outpatients receiving active treatment (n = 582) could be identified based on their distinct experience with 13 commonly occurring symptoms; to determine whether these subgroups differed on select demographic and clinical characteristics; and to determine if these subgroups differed on quality of life (QOL) outcomes. METHODS:Demographic, clinical, and symptom data from one Australian and two U.S. studies were combined. Latent class analysis was used to identify patient subgroups with distinct symptom experiences based on self-report data on symptom occurrence using the Memorial Symptom Assessment Scale. RESULTS:Four distinct latent classes were identified (i.e., all low [28.0%], moderate physical and lower psych [26.3%], moderate physical and higher psych [25.4%], and all high [20.3%]). Age, gender, education, cancer diagnosis, and presence of metastatic disease differentiated among the latent classes. Patients in the all high class had the worst QOL scores. CONCLUSION:Findings from this study confirm the large amount of interindividual variability in the symptom experience of oncology patients. The identification of demographic and clinical characteristics that place patients at risk for a higher symptom burden can be used to guide more aggressive and individualized symptom management interventions.
  • 1区Q1影响因子: 9.8
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    5. Associations between Personal Care Product Use Patterns and Breast Cancer Risk among White and Black Women in the Sister Study.
    作者:Taylor Kyla W , Troester Melissa A , Herring Amy H , Engel Lawrence S , Nichols Hazel B , Sandler Dale P , Baird Donna D
    期刊:Environmental health perspectives
    日期:2018-02-21
    DOI :10.1289/EHP1480
    BACKGROUND:Many personal care products include chemicals that might act as endocrine disruptors and thus increase the risk of breast cancer. OBJECTIVE:We examined the association between usage patterns of beauty, hair, and skin-related personal care products and breast cancer incidence in the Sister Study, a national prospective cohort study (enrollment 2003-2009). METHODS:Non-Hispanic black (4,452) and white women (n=42,453) were examined separately using latent class analysis (LCA) to identify groups of individuals with similar patterns of self-reported product use in three categories (beauty, skin, hair). Multivariable Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for associations between product use and breast cancer incidence. RESULTS:A total of 2,326 women developed breast cancer during follow-up (average follow-up=5.4y). Among black women, none of the latent class hazard ratios was elevated, but there were <100 cases in any category, limiting power. Among white women, those classified as "moderate" and "frequent" users of beauty products had increased risk of breast cancer relative to "infrequent" users [HR=1.13 (95% CI: 1.00, 1.27) and HR=1.15 (95% CI: 1.02, 1.30), respectively]. Frequent users of skincare products also had increased risk of breast cancer relative to infrequent users [HR=1.13 (95% CI: 1.00, 1.29)]. None of the hair product classes was associated with increased breast cancer risk. The associations with beauty and skin products were stronger in postmenopausal women than in premenopausal women, but not significantly so. CONCLUSIONS:This work generates novel hypotheses about personal care product use and breast cancer risk. Whether these results are due to specific chemicals or to other correlated behaviors needs to be evaluated. https://doi.org/10.1289/EHP1480.
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    6. 27-Latent class analysis identifies three subtypes of aggressive end-of-life care_ A population-based study in Taiwan.pdf
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    7. 6-Congruence Between Latent Class and K-modes Analyses in the Identification of Oncology Patients with Distinct Symptom Experiences.pdf
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    8. 20-Investigating the Heterogeneity in Women’s Preferences for Breast Screening_ Does the Communication of Risk Matter_.pdf
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    9. 11-Self-efficacy difference among patients with cancer with different socioeconomic status_ Application of latent class analysis and standardization and decomposition analysis§.pdf
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    10. 14-A Pilot Study Using a Multistaged Integrated Analysis of Gene Expression and Methylation to Evaluate Mechanisms for Evening Fatigue in Women Who Received Chemotherapy for Breast Cancer.pdf
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    11. 12-Latent class analysis suggests four distinct classes of complementary medicine users among women with breast cancer.pdf
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    12. 25-Comparative Effectiveness of Prostate Cancer Treatment Options_ Limitations of Retrospective Analysis of Cancer Registry Data.pdf
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    13. 17-Colorectal Cancer Screening_ Preferences, Past Behavior, and Future Intentions.pdf
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    14. 26-Identifying and predicting subgroups of information needs among cancer patients_ an initial study using latent class analysis.pdf
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    15. 8-Oxaliplatin-Induced Peripheral Neuropathy and Identification of Unique Severity Groups in Colorectal Cance.pdf
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    16. 29-Presurgical symptom profiles predict quality of life 2 years after surgery in women with breast cancer.pdf
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    17. 22-Patient factors and quality of life outcomes differ among four subgroups of oncology patients based on symptom occurrence.pdf
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    18. 4-Disease and Treatment Characteristics Do Not Predict Symptom Occurrence Profiles in Oncology Outpatients Receiving Chemotherapy.pdf
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    19. 19-Four Distinct Health Profiles in Older Patients With Cancer_ Latent Class Analysis of the Prospective ELCAPA Cohort.pdf
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    20. 30-Transitions in Symptom Cluster Subgroups among Men Undergoing Prostate Cancer Radiation Therapy.pdf
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    21. 10-Information and Training Needs Regarding Complementary and Alternative Medicine_ A Cross-sectional Study of Cancer Care Providers in Germany.pdf
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    22. 28-A Decade of Changes in Preferences for Life-Sustaining Treatments Among Terminally Ill Patients With Cancer.pdf
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    23. 15-Identifying the subtypes of cancer-related fatigue_ results from the population-based PROFILES registry.pdf
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    24. 24-Differential expression of genes and differentially perturbed pathways associated with very high evening fatigue in oncology patients receiving chemotherapy.pdf
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    25. 16-Cancer patients’ function, symptoms and supportive care needs_ a latent class analysis across cultures.pdf
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    26. 18-Understanding Comorbidity Profiles and Their Effect on Treatment and Survival in Patients With Colorectal Cancer.pdf
  • 3区Q1影响因子: 2.5
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    27. Heterogeneous demographic and cultural profiles of Chinese American patients nonadherent to colorectal cancer screening: a latent class analysis.
    作者:Strong Carol , Ji Cheng Shuang , Liang Wenchi , Ma Grace , Brown Roger , Wang Judy Huei-yu
    期刊:Cancer nursing
    日期:2014 Mar-Apr
    DOI :10.1097/NCC.0b013e3182888b5b
    BACKGROUND:Colorectal cancer (CRC) is one of the leading causes of cancer death in Chinese Americans, but their CRC screening rates remain low. OBJECTIVE:We examined subgroups of Chinese American patients nonadherent to CRC screening guidelines to better inform clinical practices to effectively promote screening. METHODS:Using latent class analysis of data from 327 participants recruited from 18 primary care clinics, we classified nonadherent patients based on sociodemographics, screening barriers, and attitudinal and clinical factors for CRC screening. RESULTS:The best-fitting latent class analysis model described 3 distinctive classes: Western healthcare class (36%), Eastern healthcare class (18%), and mixed healthcare class (46%). Western healthcare class patients were highly educated, with average US residency of 20 years, a high level of English proficiency, the least Eastern cultural views of care, and the greatest exposure to physician recommendations, but reported having no time for screenings. Eastern healthcare class patients were highly educated seniors and recent immigrants with the least CRC knowledge and the most Eastern cultural views. Mixed healthcare class patients had low level of education, resided in the United States for 20 years, and half had sought services of their physicians for at least 3 years, but their knowledge and cultural views were similar to those of Eastern healthcare class patients. CONCLUSIONS:Nonadherent Chinese American patients are heterogeneous. It is essential to have future intervention programs tailored to address specific screening beliefs and barriers for subtypes of nonadherent patients. IMPLICATIONS FOR PRACTICE:Training primary care physicians to recognize patients' different demographic characteristics and healthcare beliefs may facilitate physicians' communication with patients to overcome their barriers and improve screening behaviors.
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    28. 2-Sun protection behavior after diagnosis of high-risk primary melanoma and risk of a subsequent primary.pdf
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    29. 23-Patients’ preferences for treatment after neoadjuvant chemoradiotherapy for oesophageal cancer.pdf
  • 2区Q1影响因子: 6.8
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    30. Body weight trajectories and risk of oesophageal and gastric cardia adenocarcinomas: a pooled analysis of NIH-AARP and PLCO Studies.
    作者:Petrick Jessica L , Kelly Scott P , Liao Linda M , Freedman Neal D , Graubard Barry I , Cook Michael B
    期刊:British journal of cancer
    日期:2017-02-14
    DOI :10.1038/bjc.2017.29
    BACKGROUND:Elevated body mass index (BMI, kg m) has been consistently associated with oesophageal adenocarcinoma (EA) and gastric cardia adenocarcinoma (GCA) incidence. However, effects of adiposity over the life course in relation to EA/GCA have not been thoroughly explored. METHODS:We pooled two prospective cohort studies: NIH-AARP Diet and Health Study and Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial, with data on 409 796 individuals (633 EA, 415 GCA). At baseline, participants reported their height and weight at ages 20 and 50 years, and current. Body mass index trajectories were determined using latent class analysis. Hazard ratios (HRs) and 95% confidence intervals (CI) were estimated using proportional hazards regression. RESULTS:Compared with individuals with a BMI<25 kg m at all time points, exceeding a BMI of 25 kg m at age 20 was associated with increased risks of EA (HR=1.76, 95% CI: 1.35-2.29) and GCA (HR=1.62, 95% CI: 1.16-2.25). Similarly, a BMI trajectory of overweight (⩾25-<30 kg m) at age 20 progressing to obesity (⩾30 kg m) by age 50 was associated with increased risks of EA (HR=2.90, 95% CI: 1.67-5.04) and GCA (HR=4.07, 95% CI: 2.32-7.15), compared with individuals with a normal weight (⩾18.5-<25 kg m) trajectory. Weight gain of ⩾20 kg between age 20 and baseline was also associated with a two times increased risk of EA (HR=1.97, 95% CI: 1.43-2.73) and more modestly with GCA (HR=1.40, 95% CI: 0.96-2.05). CONCLUSIONS:Being overweight in early adulthood and weight gain later in life were each associated with increased risks of EA and GCA. This underscores the potential of weight control programs for reducing EA and GCA risk.
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