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"Mi-Hyun Kim"

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"Mi-Hyun Kim"

Original Articles
Validation of the Prognosis in Palliative Care Study Predictor Models in Terminal Cancer Patients
Eun-Shin Kim, Jung-Kwon Lee, Mi-Hyun Kim, Hye-Mi Noh, Yeong-Hyeon Jin
Korean J Fam Med 2014;35(6):283-294.   Published online November 21, 2014
DOI: https://doi.org/10.4082/kjfm.2014.35.6.283
Background

Prognosis in Palliative Care Study (PiPS) predictor models were developed in 2011 to estimate the survival of terminal cancer patients in the United Kingdom. The aim of this study was to validate the PiPS model for terminal cancer patients in Korea, and evaluate its value in clinical practice.

Methods

This study included 202 advanced cancer patients who were admitted to the cancer hospital's palliative care ward from November 2011 to February 2013. On admission, physicians recorded the PiPS-A, PiPS-B, and doctor's survival estimates in inpatients.

Results

The median survival across PiPS-A categories was 9, 28, and 33 days, and the median survival across PiPS-B was 9.5, 27, and 43 days. The median actual survival was 25 days; overall accuracy between the PiPS-A, PiPS-B, doctor's estimates of survival, and actual survival was 52.0%, 49.5%, and 46.5%, respectively. The PiPS-A and PiPS-B groups for survival in 'days' showed a sensitivity of 48.4% and 64.1%, and specificity of 87.7%, and 77.5%, respectively. The PiPS-A and PiPS-B groups for survival in 'weeks' showed a sensitivity of 59.2%, and 44.7%, and specificity of 61.6%, and 64.7%, respectively. The PiPS-A and PiPS-B 'months' group showed a sensitivity of 37.1% and 37.1%, and specificity of 74.9% and 78.4%, respectively. The 'weeks' and 'months' groups showed significantly prolonged survival rates than 'days' group did in both PiPS-A and PiPS-B, by the Kaplan-Meier method.

Conclusion

The PiPS predictor models effectively predicted the survival ≥14 days in terminal cancer patients, and were superior to doctor's estimates.

Citations

Citations to this article as recorded by  
  • Validation of the prognostic model for palliative radiotherapy in older patients with cancer
    Hyojung Park
    World Journal of Clinical Oncology.2025;[Epub]     CrossRef
  • Prognosis palliative care study, palliative prognostic index, palliative prognostic score and objective prognostic score in advanced cancer: a prospective comparison
    Seung Hun Lee, Jeong Gyu Lee, Young Jin Choi, Young Mi Seol, Hyojeong Kim, Yun Jin Kim, Yu Hyeon Yi, Young Jin Tak, Gyu Lee Kim, Young Jin Ra, Sang Yeoup Lee, Young Hye Cho, Eun Ju Park, Youngin Lee, Jungin Choi, Sae Rom Lee, Ryuk Jun Kwon, Soo Min Son
    BMJ Supportive & Palliative Care.2024; 14(e1): e1016.     CrossRef
  • Malignancy-related ascites in palliative care units: prognostic factor analysis
    Toru Kadono, Hiroto Ishiki, Naosuke Yokomichi, Tetsuya Ito, Isseki Maeda, Yutaka Hatano, Tomofumi Miura, Jun Hamano, Takashi Yamaguchi, Ayaka Ishikawa, Yuka Suzuki, Sayaka Arakawa, Koji Amano, Eriko Satomi, Masanori Mori
    BMJ Supportive & Palliative Care.2023; 13(e3): e1292.     CrossRef
  • Das LUEBECKER-Modell in der Palliativmedizin
    Andreas S. Lübbe, Frank Gieseler
    Im Fokus Onkologie.2022; 25(3): 21.     CrossRef
  • Imminent death: clinician certainty and accuracy of prognostic predictions
    Nicola White, Fiona Reid, Victoria Vickerstaff, Priscilla Harries, Christopher Tomlinson, Patrick Stone
    BMJ Supportive & Palliative Care.2022; 12(e6): e785.     CrossRef
  • Onkologische Systemtherapie bei Palliativpatienten: Beendigung oder Fortführung?
    Jorge Riera Knorrenschild
    TumorDiagnostik & Therapie.2021; 42(02): 105.     CrossRef
  • The Prognosis in Palliative care Study II (PiPS2): A prospective observational validation study of a prognostic tool with an embedded qualitative evaluation
    P. C. Stone, A. Kalpakidou, C. Todd, J. Griffiths, V. Keeley, K. Spencer, P. Buckle, D. Finlay, V. Vickerstaff, R. Z. Omar, Tim Luckett
    PLOS ONE.2021; 16(4): e0249297.     CrossRef
  • Prognostic models of survival in patients with advanced incurable cancer: the PiPS2 observational study
    Patrick Stone, Anastasia Kalpakidou, Chris Todd, Jane Griffiths, Vaughan Keeley, Karen Spencer, Peter Buckle, Dori-Anne Finlay, Victoria Vickerstaff, Rumana Z Omar
    Health Technology Assessment.2021; 25(28): 1.     CrossRef
  • Deep-Learning Approach to Predict Survival Outcomes Using Wearable Actigraphy Device Among End-Stage Cancer Patients
    Tien Yun Yang, Pin-Yu Kuo, Yaoru Huang, Hsiao-Wei Lin, Shwetambara Malwade, Long-Sheng Lu, Lung-Wen Tsai, Shabbir Syed-Abdul, Chia-Wei Sun, Jeng-Fong Chiou
    Frontiers in Public Health.2021;[Epub]     CrossRef
  • Validation of the Palliative Prognostic Index, Performance Status–Based Palliative Prognostic Index and Chinese Prognostic Scale in a home palliative care setting for patients with advanced cancer in China
    Jun Zhou, Sitao Xu, Ziye Cao, Jing Tang, Xiang Fang, Ling Qin, Fangping Zhou, Yuzhen He, Xueren Zhong, Mingcai Hu, Yan Wang, Fengjuan Lu, Yongzheng Bao, Xiangheng Dai, Qiang Wu
    BMC Palliative Care.2020;[Epub]     CrossRef
  • A non-lab nomogram of survival prediction in home hospice care patients with gastrointestinal cancer
    Muqing Wang, Xubin Jing, Weihua Cao, Yicheng Zeng, Chaofen Wu, Weilong Zeng, Wenxia Chen, Xi Hu, Yanna Zhou, Xianbin Cai
    BMC Palliative Care.2020;[Epub]     CrossRef
  • PALLIA‐10, a screening tool to identify patients needing palliative care referral in comprehensive cancer centers: A prospective multicentric study (PREPA‐10)
    Yann Molin, Caroline Gallay, Julien Gautier, Audrey Lardy‐Cleaud, Romaine Mayet, Marie‐Christine Grach, Gérard Guesdon, Géraldine Capodano, Olivier Dubroeucq, Carole Bouleuc, Nathalie Bremaud, Anne Fogliarini, Aline Henry, Nathalie Caunes‐Hilary, Stéphani
    Cancer Medicine.2019; 8(6): 2950.     CrossRef
  • Experiences and Opinions Related to End-of-Life Discussion: From Oncologists' and Resident Physicians' Perspectives
    Su-Jin Koh, Shinmi Kim, JinShil Kim, Bhumsuk Keam, Dae Seog Heo, Kyung Hee Lee, Bong-Seog Kim, Jee Hyun Kim, Hye Jung Chang, Sun Kyung Baek
    Cancer Research and Treatment.2018; 50(2): 614.     CrossRef
  • Effects of a new medical insurance payment system for hospice patients in palliative care programs in Korea
    Youngin Lee, Seung Hun Lee, Yun Jin Kim, Sang Yeoup Lee, Jeong Gyu Lee, Dong Wook Jeong, Yu Hyeon Yi, Young Jin Tak, Hye Rim Hwang, Mieun Gwon
    BMC Palliative Care.2018;[Epub]     CrossRef
  • The Prognosis in Palliative care Study II (PiPS2): study protocol for a multi-centre, prospective, observational, cohort study
    Anastasia K. Kalpakidou, Chris Todd, Vaughan Keeley, Jane Griffiths, Karen Spencer, Victoria Vickerstaff, Rumana Z. Omar, Patrick Stone
    BMC Palliative Care.2018;[Epub]     CrossRef
  • Integration of oncology and palliative care: a Lancet Oncology Commission
    Stein Kaasa, Jon H Loge, Matti Aapro, Tit Albreht, Rebecca Anderson, Eduardo Bruera, Cinzia Brunelli, Augusto Caraceni, Andrés Cervantes, David C Currow, Luc Deliens, Marie Fallon, Xavier Gómez-Batiste, Kjersti S Grotmol, Breffni Hannon, Dagny F Haugen, I
    The Lancet Oncology.2018; 19(11): e588.     CrossRef
  • Prediction of Patient Discharge Status Based on Indicators on Admission
    Sung-In Chung, Seung Hun Lee, Yun-Jin Kim, Sang-Yeoup Lee, Jeong-Gyu Lee, Yu-Hyeon Yi, Young-Hye Cho, Young-Jin Tak, Hye-Rim Hwang, Eun-Ju Park, Kyung-Mi Kim
    The Korean Journal of Hospice and Palliative Care.2018; 21(3): 75.     CrossRef
  • Prognostic Tools in Patients With Advanced Cancer: A Systematic Review
    Claribel P.L. Simmons, Donald C. McMillan, Kerry McWilliams, Tonje A. Sande, Kenneth C. Fearon, Sharon Tuck, Marie T. Fallon, Barry J. Laird
    Journal of Pain and Symptom Management.2017; 53(5): 962.     CrossRef
  • A systematically structured review of biomarkers of dying in cancer patients in the last months of life; An exploration of the biology of dying
    Victoria Louise Reid, Rachael McDonald, Amara Callistus Nwosu, Stephen R. Mason, Chris Probert, John E. Ellershaw, Séamus Coyle, Shian-Ying Sung
    PLOS ONE.2017; 12(4): e0175123.     CrossRef
  • Survival prediction for advanced cancer patients in the real world: A comparison of the Palliative Prognostic Score, Delirium-Palliative Prognostic Score, Palliative Prognostic Index and modified Prognosis in Palliative Care Study predictor model
    Mika Baba, Isseki Maeda, Tatsuya Morita, Satoshi Inoue, Masayuki Ikenaga, Yoshihisa Matsumoto, Ryuichi Sekine, Takashi Yamaguchi, Takeshi Hirohashi, Tsukasa Tajima, Ryohei Tatara, Hiroaki Watanabe, Hiroyuki Otani, Chizuko Takigawa, Yoshinobu Matsuda, Hiro
    European Journal of Cancer.2015; 51(12): 1618.     CrossRef
  • 6,618 View
  • 51 Download
  • 18 Web of Science
  • 20 Crossref
Trends in Cervical Cancer Mortality by Socioeconomic Status in Korean Women between 1998 and 2009
Mi-Hyun Kim, Yun-Mi Song, Bo-Kyoung Kim, Sung-Min Park, Gwang Pyo Ko
Korean J Fam Med 2013;34(4):258-264.   Published online July 24, 2013
DOI: https://doi.org/10.4082/kjfm.2013.34.4.258
Background

Death from uterine cervical cancer could be preventable by an active participation of women at risk in a screening program such as the Papanicolaou test. In order to examine the presence of socioeconomic disparity in preventable deaths, we evaluated the time trends of cervical cancer mortality by socioeconomic status in Korean women.

Methods

We selected level of educational attainment and marital status as surrogate indices of socioeconomic status. Using death certificate data and Korean Population and Housing Census data from Korea National Statistical office, we calculated age-standardized yearly mortality rates from cervical cancer between 1998 and 2009 according to the level of education as well as marital status.

Results

Cervical cancer mortality peaked in 2003 and then decreased gradually over time. Cervical cancer mortality was the highest in the group with the lowest level of educational attainment in all age groups and the gap between the lowest and the highest educational level has increased over time. Cervical cancer mortality was lower in married women than unmarried women in all age groups, and the degree of difference did not change over time.

Conclusion

In the Korean population, socioeconomic differential in cervical cancer mortality has persisted over time.

Citations

Citations to this article as recorded by  
  • The participation in cervical cancer screening is not altered by the Hawthorne effect among patients of doctors participating in the randomized clinical trial PaCUDAHL
    Gabrielle Lisembard, Michaël Rochoy, François Quersin, Valérie Deken, Alain Duhamel, Axel Descamps, Christophe Berkhout, Fanny Serman
    BMC Research Notes.2025;[Epub]     CrossRef
  • Income-based disparities in the risk of distant-stage cervical cancer and 5-year mortality after the introduction of a National Cancer Screening Program in Korea
    Erdenetuya Bolormaa, Seung-Ah Choe, Mia Son, Myung Ki, Domyung Paek
    Epidemiology and Health.2022; 44: e2022066.     CrossRef
  • The association between cervical cancer screening participation and the deprivation index of the location of the family doctor’s office
    Fanny Serman, Jonathan Favre, Valérie Deken, Lydia Guittet, Claire Collins, Michaël Rochoy, Nassir Messaadi, Alain Duhamel, Ludivine Launay, Christophe Berkhout, Thibaut Raginel, Tayyab Ikram Shah
    PLOS ONE.2020; 15(5): e0232814.     CrossRef
  • Impact of marital status on receipt of brachytherapy and survival outcomes in locally advanced cervical cancer
    Minh-Phuong Huynh-Le, Amy Klapheke, Rosemary Cress, Loren K. Mell, Catheryn M. Yashar, John P. Einck, Arno J. Mundt, Jyoti S. Mayadev
    Brachytherapy.2019; 18(5): 612.     CrossRef
  • Association between Socioeconomic Status and Cancer Screening in Koreans over 40 Years in Age Based on the 2010–2012 Korean National Health and Nutrition Examination Survey
    Jin-Young Kim, Hee-Taik Kang
    Korean Journal of Family Medicine.2016; 37(5): 287.     CrossRef
  • Cervical cancer still presents symptomatically 20 years after the introduction of a structured national screening programme
    E. Myriokefalitaki, N. Potdar, L. Barnfield, Q. Davies, E. L. Moss
    Cytopathology.2016; 27(4): 229.     CrossRef
  • Cervical Cancer Trends in Mexico: Incidence, Mortality and Research Output
    Maricruz Anaya-Ruiz, Ana Karen Vincent, Martin Perez-Santos
    Asian Pacific Journal of Cancer Prevention.2014; 15(20): 8689.     CrossRef
  • 5,354 View
  • 21 Download
  • 7 Crossref
Factors Associated with Persistent Smoking after the Diagnosis of Cardiovascular Disease
Hyo-Eun Kim, Yun-Mi Song, Bo-Kyoung Kim, Yong-Soon Park, Mi-Hyun Kim
Korean J Fam Med 2013;34(3):160-168.   Published online May 24, 2013
DOI: https://doi.org/10.4082/kjfm.2013.34.3.160
Background

Although cigarette smoking is a major modifiable risk factor for the occurrence of primary and secondary cardiovascular disease (CVD), not all survivors from CVD attacks can successfully stop smoking. However, little is known about the factors associated with the change in smoking behavior after CVD attack.

Methods

Study subjects included 16,807 participants (≥19 years) in the fourth Korean National Health and Nutrition Examination Surveys. From them, we selected 180 persons who had previous CVD diagnosis (angina pectoris, myocardial infarction, or stroke) and were smoking at the time of CVD diagnosis. Then, we categorized the 180 persons into two groups according to change in smoking status after the CVD: quitter and non-quitter. Logistic regression analysis was done to evaluate multivariable-adjusted association.

Results

Even after CVD diagnosis, 63.60% continued to smoke. Fully-adjusted analysis revealed that regular drinking (odds ratio [OR], 4.44) and presence of smokers among family members (OR, 5.86) were significantly (P < 0.05) associated with greater risk of persistent smoking, whereas lower education level (OR, 0.20), larger amount of smoking (OR, 0.95), longer time since diagnosis (OR, 0.88), and diabetes (OR, 0.36) were significantly (P < 0.05) associated with decreased risk of persistent smoking after CVD.

Conclusion

A great proportion of CVD patients tended to continue smoking in the Korean population. In order to reduce smoking rates among CVD patients further, more aggressive efforts towards smoking cessation should be continuously made with consideration of individual socioeconomic, behavioral, and clinical characteristics of CVD patients.

Citations

Citations to this article as recorded by  
  • Relating Onset of Health Conditions to Changes in Tobacco/Nicotine Use — Analyses based on the U.S. PATH Study *
    Peter N. Lee, John S. Fry
    Contributions to Tobacco & Nicotine Research.2023; 32(1): 1.     CrossRef
  • Patterns of smoked and smokeless tobacco use among multimorbid and non-multimorbid middle-aged and older-aged adults in Karachi, Pakistan: a cross-sectional survey
    Salima Khowaja, Shahkamal Hashmi, Sidra Zaheer, Kashif Shafique
    BMJ Open.2022; 12(12): e060090.     CrossRef
  • Predictors of Smoking Resumption After Acute Coronary Syndrome: A Prospective Study in Western Iran
    Reza Heidari Moghadam, Nahid Salehi, Mohamadreza Moatazedian, Parisa Janjani, Alireza Rai, Javad Azimivghar, Arsalan Naderipour, Etrat Javadi Rad, Mohammed Rouzbahani
    International Journal of High Risk Behaviors and Addiction.2021;[Epub]     CrossRef
  • Association between persistent smoking after a diagnosis of heart failure and adverse health outcomes: A systematic review and meta-analysis
    Youn-Jung Son, Hyeon-Ju Lee
    Tobacco Induced Diseases.2020;[Epub]     CrossRef
  • The Impact of Cluster-Type Risk Factors on Adverse Clinical Prognosis in Patients with Coronary Artery Disease: A Secondary Data Analysis
    In Ae Uhm, Seon Young Hwang
    Korean Journal of Adult Nursing.2020; 32(2): 156.     CrossRef
  • Factors Associated with the Intention to Quit Smoking in Elderly Korean Men: The Korea National Health and Nutrition Examination Survey 2010-2015
    Inho Lee, Yong Soon Park, Jeong Hyeon Kim, Seung Hyeok Han
    Korean Journal of Family Medicine.2020; 41(4): 237.     CrossRef
  • Development and Psychometric Evaluation of Coronary Artery Disease Treatment Adherence Scale
    Nahid Dehghan Nayeri, Mohammad Ali Yadegary, Khatereh Seylani, Elham Navab
    Cardiology and Therapy.2019; 8(1): 103.     CrossRef
  • Factors associated with continued smoking after the diagnosis of type 2 diabetes: a retrospective study in the Korean cohort
    Mi Hee Cho, Sung Min Kim, Kiheon Lee, Sang Min Park, Jooyoung Chang, Seulggie Choi, Kyuwoong Kim, Hye-Yeon Koo, Ji-Hye Jun
    BMJ Open.2018; 8(6): e020160.     CrossRef
  • Persistent smoking after a cardiovascular event: A nationwide retrospective study in Korea
    Yoo Kyoung Lim, Dong Wook Shin, Hyeon Suk Kim, Jae Moon Yun, Jung-Hyun Shin, Hyejin Lee, Hye Yeon Koo, Min Jung Kim, Jeong Yeon Yoon, Mi Hee Cho, Katriina Aalto-Setala
    PLOS ONE.2017; 12(10): e0186872.     CrossRef
  • Smoking Cessation in the Middle East after Percutaneous Coronary Intervention. Results from the First Jordanian Percutaneous Coronary Intervention Registry (JoPCR1)
    Rinad R. Tabbalat, Rawan A. Hammoudeh, Yousef Khader, Ayman J. Hammoudeh
    World Journal of Cardiovascular Diseases.2016; 06(07): 202.     CrossRef
  • Continuous Abstinence Rates from Smoking Over 12 Months according to the Frequency of Participation in a Hospital-based Smoking Cessation Program among Patients Discharged after Acute Myocardial Infarction
    Young-Hoon Lee, Mi-Hee Han, Mi Rim Lee, Jin-Won Jeong, Nam-Ho Kim, Seok Kyu Oh, Kyeong Ho Yun, Sang Jae Rhee, Jum Suk Ko, Gyung-Jae Oh
    Korean Journal of Health Promotion.2016; 16(1): 48.     CrossRef
  • Tabagismo, consumo de álcool e atividade física: associações na síndrome coronariana aguda
    Evelise Helena Fadini Reis Brunori, Agueda Maria Ruiz Zimmer Cavalcante, Camila Takao Lopes, Juliana de Lima Lopes, Alba Lucia Bottura Leite de Barros
    Acta Paulista de Enfermagem.2014; 27(2): 165.     CrossRef
  • 5,721 View
  • 34 Download
  • 12 Crossref
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