BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

87 related articles for article (PubMed ID: 24653502)

  • 1. Development of Prognosis in Palliative care Study (PiPS) predictor models to improve prognostication in advanced cancer: prospective cohort study.
    Gwilliam B; Keeley V; Todd C; Gittins M; Roberts C; Kelly L; Barclay S; Stone PC
    BMJ Support Palliat Care; 2012 Mar; 2(1):63-71. PubMed ID: 24653502
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Development of prognosis in palliative care study (PiPS) predictor models to improve prognostication in advanced cancer: prospective cohort study.
    Gwilliam B; Keeley V; Todd C; Gittins M; Roberts C; Kelly L; Barclay S; Stone PC
    BMJ; 2011 Aug; 343():d4920. PubMed ID: 21868477
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Development of Prognosis in Palliative care Study (PiPS) predictor models to improve prognostication in advanced cancer: prospective cohort study.
    Gwilliam B; Keeley V; Todd C; Gittins M; Roberts C; Kelly L; Barclay S; Stone PC
    BMJ Support Palliat Care; 2015 Dec; 5(4):390-8. PubMed ID: 26586684
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prognostic models of survival in patients with advanced incurable cancer: the PiPS2 observational study.
    Stone P; Kalpakidou A; Todd C; Griffiths J; Keeley V; Spencer K; Buckle P; Finlay DA; Vickerstaff V; Omar RZ
    Health Technol Assess; 2021 May; 25(28):1-118. PubMed ID: 34018486
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The Prognosis in Palliative care Study II (PiPS2): study protocol for a multi-centre, prospective, observational, cohort study.
    Kalpakidou AK; Todd C; Keeley V; Griffiths J; Spencer K; Vickerstaff V; Omar RZ; Stone P
    BMC Palliat Care; 2018 Aug; 17(1):101. PubMed ID: 30103711
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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.
    Baba M; Maeda I; Morita T; Inoue S; Ikenaga M; Matsumoto Y; Sekine R; Yamaguchi T; Hirohashi T; Tajima T; Tatara R; Watanabe H; Otani H; Takigawa C; Matsuda Y; Nagaoka H; Mori M; Tei Y; Hiramoto S; Suga A; Kinoshita H
    Eur J Cancer; 2015 Aug; 51(12):1618-29. PubMed ID: 26074396
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Independent validation of the modified prognosis palliative care study predictor models in three palliative care settings.
    Baba M; Maeda I; Morita T; Hisanaga T; Ishihara T; Iwashita T; Kaneishi K; Kawagoe S; Kuriyama T; Maeda T; Mori I; Nakajima N; Nishi T; Sakurai H; Shimoyama S; Shinjo T; Shirayama H; Yamada T; Ono S; Ozawa T; Yamamoto R; Tsuneto S
    J Pain Symptom Manage; 2015 May; 49(5):853-60. PubMed ID: 25499420
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The Prognosis in Palliative care Study II (PiPS2): A prospective observational validation study of a prognostic tool with an embedded qualitative evaluation.
    Stone PC; Kalpakidou A; Todd C; Griffiths J; Keeley V; Spencer K; Buckle P; Finlay D; Vickerstaff V; Omar RZ;
    PLoS One; 2021; 16(4):e0249297. PubMed ID: 33909630
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Patients' reports or clinicians' assessments: which are better for prognosticating?
    Stone P; Gwilliam B; Keeley V; Todd C; Gittins M; Kelly L; Barclay S; Roberts C
    BMJ Support Palliat Care; 2012 Sep; 2(3):219-23. PubMed ID: 24654194
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Validation of the prognosis in palliative care study predictor models in terminal cancer patients.
    Kim ES; Lee JK; Kim MH; Noh HM; Jin YH
    Korean J Fam Med; 2014 Nov; 35(6):283-94. PubMed ID: 25426276
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Predicting survival in patients with advanced disease.
    Glare P; Sinclair C; Downing M; Stone P; Maltoni M; Vigano A
    Eur J Cancer; 2008 May; 44(8):1146-56. PubMed ID: 18394880
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The accuracy of clinician predictions of survival in the Prognosis in Palliative care Study II (PiPS2): A prospective observational study.
    Stone PC; Chu C; Todd C; Griffiths J; Kalpakidou A; Keeley V; Omar RZ; Vickerstaff V
    PLoS One; 2022; 17(4):e0267050. PubMed ID: 35421168
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prognostic factors in patients with advanced cancer: use of the patient-generated subjective global assessment in survival prediction.
    Martin L; Watanabe S; Fainsinger R; Lau F; Ghosh S; Quan H; Atkins M; Fassbender K; Downing GM; Baracos V
    J Clin Oncol; 2010 Oct; 28(28):4376-83. PubMed ID: 20805456
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prognostic factors of survival in patients with advanced cancer admitted to home care.
    Mercadante S; Valle A; Porzio G; Aielli F; Adile C; Casuccio A;
    J Pain Symptom Manage; 2013 Jan; 45(1):56-62. PubMed ID: 23017625
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Patients with malignant hematological disorders treated on a palliative care unit: prognostic impact of clinical factors.
    Kripp M; Willer A; Schmidt C; Pilz LR; Gencer D; Buchheidt D; Hochhaus A; Hofmann WK; Hofheinz RD
    Ann Hematol; 2014 Feb; 93(2):317-25. PubMed ID: 23925929
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development of a predicting tool for survival of terminally ill cancer patients.
    Hyodo I; Morita T; Adachi I; Shima Y; Yoshizawa A; Hiraga K
    Jpn J Clin Oncol; 2010 May; 40(5):442-8. PubMed ID: 20085908
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A combination of routine laboratory findings and vital signs can predict survival of advanced cancer patients without physician evaluation: a fractional polynomial model.
    Hamano J; Takeuchi A; Yamaguchi T; Baba M; Imai K; Ikenaga M; Matsumoto Y; Sekine R; Yamaguchi T; Hirohashi T; Tajima T; Tatara R; Watanabe H; Otani H; Nagaoka H; Mori M; Tei Y; Hiramoto S; Morita T
    Eur J Cancer; 2018 Dec; 105():50-60. PubMed ID: 30391780
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prognostic factors in advanced cancer patients: evidence-based clinical recommendations--a study by the Steering Committee of the European Association for Palliative Care.
    Maltoni M; Caraceni A; Brunelli C; Broeckaert B; Christakis N; Eychmueller S; Glare P; Nabal M; Viganò A; Larkin P; De Conno F; Hanks G; Kaasa S;
    J Clin Oncol; 2005 Sep; 23(25):6240-8. PubMed ID: 16135490
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Survival prediction in terminally ill cancer patients by clinical estimates, laboratory tests, and self-rated anxiety and depression.
    Gripp S; Moeller S; Bölke E; Schmitt G; Matuschek C; Asgari S; Asgharzadeh F; Roth S; Budach W; Franz M; Willers R
    J Clin Oncol; 2007 Aug; 25(22):3313-20. PubMed ID: 17664480
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Evaluation of the Palliative Prognostic Score (PaP) and routinely collected clinical data in prognostication of survival for patients referred to a palliative care consultation service in an acute care hospital.
    Tarumi Y; Watanabe SM; Lau F; Yang J; Quan H; Sawchuk L; deMoissac D; Wolch G; Thai V
    J Pain Symptom Manage; 2011 Sep; 42(3):419-31. PubMed ID: 21477974
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.