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  1. Article ; Online: New Prediction Model for Incidence of Dementia in Patients with Type 2 Diabetes.

    Phuc, Phan Thanh / Nguyen, Phung Anh / Hsu, Jason C

    Studies in health technology and informatics

    2024  Volume 310, Page(s) 1354–1355

    MeSH term(s) Humans ; Diabetes Mellitus, Type 2/complications ; Diabetes Mellitus, Type 2/diagnosis ; Diabetes Mellitus, Type 2/epidemiology ; Incidence ; Patients ; Dementia/epidemiology
    Language English
    Publishing date 2024-01-25
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI231191
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Prescription patterns of granulocyte colony-stimulating factors in patients with breast cancer: A real-world study.

    Hsu, Shu-Wei / Chiang, Shao-Chin / Hsu, Jason C / Ko, Yu

    PloS one

    2023  Volume 18, Issue 7, Page(s) e0288642

    Abstract: Background and objectives: Myelosuppressive chemotherapy is effective for breast cancer but carries a potential risk of febrile neutropenia (FN). Clinical practice guidelines have recommended prophylaxis with granulocyte colony-stimulating factor (G-CSF) ...

    Abstract Background and objectives: Myelosuppressive chemotherapy is effective for breast cancer but carries a potential risk of febrile neutropenia (FN). Clinical practice guidelines have recommended prophylaxis with granulocyte colony-stimulating factor (G-CSF) to reduce the incidence of FN in patients receiving chemotherapy. We aimed to examine the use of G-CSFs for primary prophylaxis for FN and to see whether it follows the guidelines. In addition, we examined the changes in the use of long-acting and short-acting G-CSFs in patients with breast cancer over the past ten years.
    Methods: This was a retrospective observational real-world study. The data were obtained from the clinical research database of three hospitals affiliated with Taipei Medical University. Patients with breast cancer who initiated their first chemotherapy regimen between January 1, 2011, and December 31, 2020, were identified by the ICD codes and their use of filgrastim or pegfilgrastim was identified by the Anatomical Therapeutic Chemical codes. Whether and how G-CSF was prescribed during the study patients' first chemotherapy regimen was examined, and the annual change in the total number of short- and long-acting G-CSFs prescribed to the study patients from 2011 to 2020 was analyzed.
    Results: Among the 2,444 patients who were prescribed at least one of the examined 15 breast cancer chemotherapy drugs, 1,414 did not use any G-CSFs during their first chemotherapy regimen while 145 used G-CSFs for primary prophylaxis and 185 for treatment. Among the patients receiving high FN risk regimens, only 8.6% used G-CSF for primary prophylaxis. The average (± SD) number of days for short-acting G-CSF use was 2.3 (± 1.5) days with a median of 2 days. In addition, it was found that there was a significant reduction in long-acting G-CSF use (p = 0.03) whereas the changes in short-acting G-CSF use over time were not significant (p = 0.50).
    Conclusions: Our study results show that G-CSFs are used for primary prophylaxis in a small percentage of patients with breast cancer and the duration of short-acting G-CSF use is relatively short. Considering the significant clinical and economic impact of FN, it is hoped that the prescription patterns of G-CSFs observed can provide an important reference for future clinical practice and reimbursement policy.
    MeSH term(s) Humans ; Female ; Breast Neoplasms/epidemiology ; Granulocyte Colony-Stimulating Factor/therapeutic use ; Filgrastim ; Antineoplastic Agents/therapeutic use ; Prescriptions ; Granulocytes ; Antineoplastic Combined Chemotherapy Protocols/adverse effects
    Chemical Substances Granulocyte Colony-Stimulating Factor (143011-72-7) ; Filgrastim (PVI5M0M1GW) ; Antineoplastic Agents
    Language English
    Publishing date 2023-07-17
    Publishing country United States
    Document type Observational Study ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0288642
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Machine-Learning Based Risk Assessment for Cancer Therapy-Related Cardiac Adverse Events Among Breast Cancer Patients.

    Nguyen, Quynh T N / Phan, Phuc T / Lin, Shwu-Jiuan / Hsu, Min-Huei / Li, Yu-Chuan Jack / Hsu, Jason C / Nguyen, Phung-Anh

    Studies in health technology and informatics

    2024  Volume 310, Page(s) 1006–1010

    Abstract: The study aims to develop machine-learning models to predict cardiac adverse events in female breast cancer patients who receive adjuvant therapy. We selected breast cancer patients from a retrospective dataset of the Taipei Medical University Clinical ... ...

    Abstract The study aims to develop machine-learning models to predict cardiac adverse events in female breast cancer patients who receive adjuvant therapy. We selected breast cancer patients from a retrospective dataset of the Taipei Medical University Clinical Research Database and Taiwan Cancer Registry between January 2004 and December 2020. Patients were monitored at the date of prescribed chemo- and/or -target therapies until cardiac adverse events occurred during a year. Variables were used, including demographics, comorbidities, medications, and lab values. Logistics regression (LR) and artificial neural network (ANN) were used. The performance of the algorithms was measured by the area under the receiver operating characteristic curve (AUC). In total, 1321 patients (an equal 15039 visits) were included. The best performance of the artificial neural network (ANN) model was achieved with the AUC, precision, recall, and F1-score of 0.89, 0.14, 0.82, and 0.2, respectively. The most important features were a pre-existing cardiac disease, tumor size, estrogen receptor (ER), human epidermal growth factor receptor 2 (HER2), cancer stage, and age at index date. Further research is necessary to determine the feasibility of applying the algorithm in the clinical setting and explore whether this tool could improve care and outcomes.
    MeSH term(s) Humans ; Female ; Breast Neoplasms/drug therapy ; Retrospective Studies ; Combined Modality Therapy ; Algorithms ; Machine Learning
    Language English
    Publishing date 2024-01-25
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI231116
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Special issue on multiple comparisons (MCP 2019).

    Cui, Xinping / Dickhaus, Thorsten / Hsu, Jason C

    Biometrical journal. Biometrische Zeitschrift

    2021  Volume 64, Issue 2, Page(s) 197

    Language English
    Publishing date 2021-06-04
    Publishing country Germany
    Document type Editorial
    ZDB-ID 131640-0
    ISSN 1521-4036 ; 0323-3847 ; 0006-3452
    ISSN (online) 1521-4036
    ISSN 0323-3847 ; 0006-3452
    DOI 10.1002/bimj.202100332
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Z 1267: Show issues

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  5. Article: Age and gender differences in misperceptions of body shape in a Taiwanese population.

    Weng, Hui-Ching / Chang, Sheng-Mao / Hsu, Jason C / Yang, Yung-Ning / Lin, Chung-Ying

    Journal of eating disorders

    2023  Volume 11, Issue 1, Page(s) 110

    Abstract: Objectives: Most studies of body size perception have been performed in adolescents, and most focus on gender differences in accurate perception of body size. This study investigated misperceptions of body sizes among males and females at different ... ...

    Abstract Objectives: Most studies of body size perception have been performed in adolescents, and most focus on gender differences in accurate perception of body size. This study investigated misperceptions of body sizes among males and females at different stages of adulthood in Taiwan.
    Designs: In-person home interviews were used to proportionally and randomly select 2095 adult men and women to answer the East Asian Social Survey. Participants were divided into 18-39, 40-64, and 65 + age groups. The main variables analyzed were self-perceived body size and standardized BMI.
    Results: Women, unlike men, were more likely to misperceive their body size as being overweight (OR = 2.92; p < .001). People with higher self-perceived social status were less likely to misperceive themselves as overweight (OR = 0.91; p = .01). People with college educations were 2.35 times more likely to overestimate their body size as being heavier than they were (p < .001) and less likely to underestimate it as being thinner than they were (OR = 0.45; p < .001). Women 18-35 and 36-64 years old were 6.96 and 4.31 times more likely (p < .001) to misperceive themselves as being overweight than women 65 or older, who were more likely to misperceive themselves as being too thin. There were no significant differences in body size misperceptions among the three age groups of adult men (p > .05). We found no different significant discrepancies between self-perceived body size and actual BMI between the older men and women (p = .16). However, younger and middle-aged men were 6.67 and 3.1 times more likely to misperceive themselves as being too thin than women in their same age groups (OR = 0.15 and OR = 0.32, respectively).
    Conclusions: Age and gender affect self-perceptions of body size in Taiwan. Overall, women are more likely than men to misperceive themselves as being too big, and men are more likely than women to misperceive themselves as too thin. Older women, however, were more likely to misperceive themselves as being too thin. Clinicians and health educators should know that people's perceptions and concerns regarding their body size vary by age and gender.
    Language English
    Publishing date 2023-07-03
    Publishing country England
    Document type Journal Article
    ZDB-ID 2699357-0
    ISSN 2050-2974
    ISSN 2050-2974
    DOI 10.1186/s40337-023-00837-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Assessing Knowledge and Attitude of Healthcare Professionals on Biosimilars: A National Survey for Pharmacists and Physicians in Taiwan.

    Poon, Samantha Yun-Kai / Hsu, Jason C / Ko, Yu / Chiang, Shao-Chin

    Healthcare (Basel, Switzerland)

    2021  Volume 9, Issue 11

    Abstract: Despite the first approval of biosimilars' in 2010, biosimilar products usage has remained low in Taiwan. This cross-sectional survey study assessed healthcare professionals' (HCPs)-hospital pharmacists, oncologists, and rheumatologists-knowledge, and ... ...

    Abstract Despite the first approval of biosimilars' in 2010, biosimilar products usage has remained low in Taiwan. This cross-sectional survey study assessed healthcare professionals' (HCPs)-hospital pharmacists, oncologists, and rheumatologists-knowledge, and attitudes toward biosimilars. More precisely, their knowledge and attitude towards biosimilars' current usage and regulations in Taiwan were analyzed. The mean ± standard deviation knowledge score was 2.56 ± 0.86 out of 4 (
    Language English
    Publishing date 2021-11-21
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2721009-1
    ISSN 2227-9032
    ISSN 2227-9032
    DOI 10.3390/healthcare9111600
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Rejoinder for discussions on correct and logical causal inference for binary and time-to-event outcomes in randomized controlled trials.

    Liu, Yi / Wang, Bushi / Tian, Hong / Hsu, Jason C

    Biometrical journal. Biometrische Zeitschrift

    2021  Volume 64, Issue 2, Page(s) 246–255

    Abstract: Our paper differs from previous literature in two ways: 1.We think in terms of clinical consequences, what benefits patients, what harms patients. Our main message is: using a not logic-respecting efficacy measure can potentially harm patients in a ... ...

    Abstract Our paper differs from previous literature in two ways: 1.We think in terms of clinical consequences, what benefits patients, what harms patients. Our main message is: using a not logic-respecting efficacy measure can potentially harm patients in a randomized controlled trial (RCT), as we prove analytically, and demonstrate with the OAK blood-based tumor mutational burden (bTMB) study. 2.We follow nature, which mixes effects within each treatment arm. Our secondary message is that following nature to mix within each treatment arm first before calculating any efficacy measure between treatments resolves issues. For example, following natural mixing to prove ratio of time is logic-respecting avoids the issue that weights of efficacy measures are implicit solution to an equation that depends on the unknown prognostic effect. More importantly, coding subgroup mixable estimation (SEM) by mixing within each treatment arm first and then calculating efficacy will make marginal and conditional efficacy agree, for logic-respecting efficacy measures (be it a ratio or a difference), no matter the outcome is continuous, binary, or time-to-event. One does not have to choose between marginal and conditional.
    MeSH term(s) Humans ; Logic ; Randomized Controlled Trials as Topic
    Language English
    Publishing date 2021-07-16
    Publishing country Germany
    Document type Journal Article ; Comment
    ZDB-ID 131640-0
    ISSN 1521-4036 ; 0323-3847 ; 0006-3452
    ISSN (online) 1521-4036
    ISSN 0323-3847 ; 0006-3452
    DOI 10.1002/bimj.202100089
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  8. Article ; Online: Exact simultaneous confidence intervals for logical selection of a biomarker cut-point.

    Han, Yang / Tang, Szu-Yu / Lin, Hui-Min / Hsu, Jason C

    Biometrical journal. Biometrische Zeitschrift

    2021  Volume 64, Issue 2, Page(s) 272–289

    Abstract: This article proposes four new principles for logical biomarker cut-point selection methods to adhere to: subgroup sensibility, sensitivity, specificity, and target monotonicity. At every cut-point value, our method gives confidence intervals not only ... ...

    Abstract This article proposes four new principles for logical biomarker cut-point selection methods to adhere to: subgroup sensibility, sensitivity, specificity, and target monotonicity. At every cut-point value, our method gives confidence intervals not only for the efficacy at that cut-point value, but also efficacies in the marker-positive and marker-negative subgroups defined by that cut-point. These confidence intervals are given simultaneously for all possible cut-point values. Using Alzheimer's disease (AD) and type 2 diabetes (T2DM) as examples, we show our method achieves the four principles. Our method strongly controls familywise type I error rate (FWER) across both levels of multiplicity: the multiplicity of having marker-positive and marker-negative subgroups at each cut-point, and the multiplicity of searching through infinitely many cut-points. This is in contrast to other available methods. The confidence level of our simultaneous confidence intervals is in fact exact (not conservative). An application (app) is available, which implements the method we propose.
    MeSH term(s) Alzheimer Disease/diagnosis ; Alzheimer Disease/genetics ; Biomarkers ; Confidence Intervals ; Diabetes Mellitus, Type 2/diagnosis ; Humans ; Research Design
    Chemical Substances Biomarkers
    Language English
    Publishing date 2021-02-26
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 131640-0
    ISSN 1521-4036 ; 0323-3847 ; 0006-3452
    ISSN (online) 1521-4036
    ISSN 0323-3847 ; 0006-3452
    DOI 10.1002/bimj.202000159
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Bonn / Germany

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  9. Book: Business cycles in economics

    Hsu, Jason C

    types, challenges and impacts on monetary policies

    (Business economics in a rapidly-changing world)

    2014  

    Author's details Jason C. Hsu, ed
    Series title Business economics in a rapidly-changing world
    Keywords Business cycles ; Monetary policy ; Konjunktur ; Konjunkturtheorie ; Geldpolitik ; Wirkungsanalyse ; Prognoseverfahren ; Statistische Methode ; Welt
    Language English
    Size VIII, 269 S., graph. Darst.
    Publisher Nova Publ
    Publishing place New York, NY
    Document type Book
    Note Enth. 14 Beitr. ; Includes index
    ISBN 9781633213227 ; 1633213226
    Database ECONomics Information System

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  10. Book ; Online: Business cycles in economics

    Hsu, Jason C

    types, challenges and impacts on monetary policies

    (Business economics in a rapidly-changing world)

    2014  

    Abstract: This anthology presents papers that challenge conventional viewpoints and ideas about business cycles and monetary policy. Some of the selections bring fresh thinking to customary topics, such as business cycle models in perfectly competitive markets, ... ...

    Author's details editor, Jason C. Hsu
    Series title Business economics in a rapidly-changing world
    Abstract This anthology presents papers that challenge conventional viewpoints and ideas about business cycles and monetary policy. Some of the selections bring fresh thinking to customary topics, such as business cycle models in perfectly competitive markets, the cyclicality of research and development expenditures, and the effect of uncertainty shocks on consumer spending. Others address concerns that have come to the fore in the aftermath of the global financial crisis-the consequences of quantitative easing, the effectiveness of macro prudential policies, the impact of shadow banking on the fractio
    Keywords Business cycles ; Monetary policy
    Language English
    Size Online-Ressource
    Publisher Nova Science Publishers Inc
    Publishing place Hauppauge, New York
    Document type Book ; Online
    Note Includes index
    ISBN 1633213226 ; 1633215385 ; 9781633213227 ; 9781633215382
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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