Literature DB >> 25777319

Glasgow prognostic score predicts prognosis for cancer patients in palliative settings: a subanalysis of the Japan-prognostic assessment tools validation (J-ProVal) study.

Tomofumi Miura1, Yoshihisa Matsumoto2, Takashi Hama3, Koji Amano4, Yo Tei5, Ayako Kikuchi6, Akihiko Suga7, Takayuki Hisanaga8, Tatsuhiko Ishihara9, Mutsumi Abe10, Keisuke Kaneishi11, Shohei Kawagoe12, Toshiyuki Kuriyama13, Takashi Maeda14, Ichiro Mori15, Nobuhisa Nakajima16, Tomohiro Nishi17, Hiroki Sakurai18, Tatsuya Morita19, Hiroya Kinoshita20.   

Abstract

PURPOSE: The Glasgow prognostic score (GPS), which uses C-reactive protein and albumin levels, is a good predictor of prognosis in cancer patients undergoing anti-tumor therapy. The objective of this study was to investigate the correlation between GPS and survival among cancer patients in palliative settings, as findings in such populations have not been well described.
METHODS: This was a subanalysis of a multicenter, prospective, cohort study in patients who were adults, diagnosed with advanced cancer, and first referred to palliative care service in Japan. Patients who were not receiving anti-tumor therapy and who had undergone laboratory examinations were eligible. Clinical features were analyzed to investigate prognostic factors.
RESULTS: A total of 1160 patients were enrolled (41.6 % female; median age, 72 years). The independent predictors were Eastern Cooperative Oncology Group performance status (ECOG PS) score of 4 (hazard ratio (HR), 1.54), liver metastasis (HR, 1.21), dyspnea (HR, 1.35), edema (HR, 1.25), prognostic performance index (HR, 1.56), neutrophil-lymphocyte ratio (HR, 1.43), and GPS of 2 (HR, 1.36). The sensitivity and specificity for 3-week prognosis of a GPS of 2 were 0.879 and 0.410. Median survival time with GPS of 0, 1, and 2 was 58 days (95 % confidence interval, 48-81), 43 days (37-50), and 21 days (19-24), respectively (log-rank test, p < 0.001).
CONCLUSION: The GPS was a good prognostic indicator for cancer patients in palliative settings.

Entities:  

Keywords:  Albumin; C-reactive protein; Cancer; Glasgow prognostic score; Inflammation; Palliative care; Prognosis

Mesh:

Substances:

Year:  2015        PMID: 25777319     DOI: 10.1007/s00520-015-2693-x

Source DB:  PubMed          Journal:  Support Care Cancer        ISSN: 0941-4355            Impact factor:   3.603


  27 in total

Review 1.  A systematic review of prognostic tools for estimating survival time in palliative care.

Authors:  Francis Lau; Denise Cloutier-Fisher; Craig Kuziemsky; Fraser Black; Michael Downing; Elizabeth Borycki; Francis Ho
Journal:  J Palliat Care       Date:  2007       Impact factor: 2.250

Review 2.  The systemic inflammation-based Glasgow Prognostic Score: a decade of experience in patients with cancer.

Authors:  Donald C McMillan
Journal:  Cancer Treat Rev       Date:  2012-09-17       Impact factor: 12.111

3.  Prognostication in advanced cancer: a study examining an inflammation-based score.

Authors:  Michael Partridge; Marie Fallon; Caroline Bray; Donald McMillan; Duncan Brown; Barry Laird
Journal:  J Pain Symptom Manage       Date:  2012-06-23       Impact factor: 3.612

4.  A novel and validated prognostic index in hepatocellular carcinoma: the inflammation based index (IBI).

Authors:  David J Pinato; Justin Stebbing; Mitsuru Ishizuka; Shahid A Khan; Harpreet S Wasan; Bernard V North; Keiichi Kubota; Rohini Sharma
Journal:  J Hepatol       Date:  2012-06-23       Impact factor: 25.083

5.  Albumin synthesis rates are not decreased in hypoalbuminemic cachectic cancer patients with an ongoing acute-phase protein response.

Authors:  K C Fearon; J S Falconer; C Slater; D C McMillan; J A Ross; T Preston
Journal:  Ann Surg       Date:  1998-02       Impact factor: 12.969

6.  Independent validation of the modified prognosis palliative care study predictor models in three palliative care settings.

Authors:  Mika Baba; Isseki Maeda; Tatsuya Morita; Takayuki Hisanaga; Tatsuhiko Ishihara; Tomoyuki Iwashita; Keisuke Kaneishi; Shohei Kawagoe; Toshiyuki Kuriyama; Takashi Maeda; Ichiro Mori; Nobuhisa Nakajima; Tomohiro Nishi; Hiroki Sakurai; Satofumi Shimoyama; Takuya Shinjo; Hiroto Shirayama; Takeshi Yamada; Shigeki Ono; Taketoshi Ozawa; Ryo Yamamoto; Satoru Tsuneto
Journal:  J Pain Symptom Manage       Date:  2014-12-12       Impact factor: 3.612

7.  Prognostic significance of a systemic inflammatory response in patients receiving first-line palliative chemotherapy for recurred or metastatic gastric cancer.

Authors:  Jun-Eul Hwang; Ha-Na Kim; Dae-Eun Kim; Hyun-Jung Choi; Sung-Hoon Jung; Hyun-Jeong Shim; Woo-Kyun Bae; Eu-Chang Hwang; Sang-Hee Cho; Ik-Joo Chung
Journal:  BMC Cancer       Date:  2011-11-21       Impact factor: 4.430

8.  Prognostic importance of the inflammation-based Glasgow prognostic score in patients with gastric cancer.

Authors:  X Jiang; N Hiki; S Nunobe; K Kumagai; T Kubota; S Aikou; T Sano; T Yamaguchi
Journal:  Br J Cancer       Date:  2012-06-19       Impact factor: 7.640

9.  Changes in nutritional status associated with unresectable pancreatic cancer.

Authors:  S J Wigmore; C E Plester; R A Richardson; K C Fearon
Journal:  Br J Cancer       Date:  1997       Impact factor: 7.640

10.  Serum levels of IL-6 and IL-1β can predict the efficacy of gemcitabine in patients with advanced pancreatic cancer.

Authors:  S Mitsunaga; M Ikeda; S Shimizu; I Ohno; J Furuse; M Inagaki; S Higashi; H Kato; K Terao; A Ochiai
Journal:  Br J Cancer       Date:  2013-04-16       Impact factor: 7.640

View more
  8 in total

1.  Quality of Life in Patients With Advanced Cancer: Differential Association With Performance Status and Systemic Inflammatory Response.

Authors:  Barry J A Laird; Marie Fallon; Marianne J Hjermstad; Sharon Tuck; Stein Kaasa; Pål Klepstad; Donald C McMillan
Journal:  J Clin Oncol       Date:  2016-06-27       Impact factor: 44.544

Review 2.  Dealing with prognostic uncertainty: the role of prognostic models and websites for patients with advanced cancer.

Authors:  David Hui; John P Maxwell; Carlos Eduardo Paiva
Journal:  Curr Opin Support Palliat Care       Date:  2019-12       Impact factor: 2.302

Review 3.  Prognostication of Survival in Patients With Advanced Cancer: Predicting the Unpredictable?

Authors:  David Hui
Journal:  Cancer Control       Date:  2015-10       Impact factor: 3.302

4.  A systematically structured review of biomarkers of dying in cancer patients in the last months of life; An exploration of the biology of dying.

Authors:  Victoria Louise Reid; Rachael McDonald; Amara Callistus Nwosu; Stephen R Mason; Chris Probert; John E Ellershaw; Séamus Coyle
Journal:  PLoS One       Date:  2017-04-06       Impact factor: 3.240

5.  A systematic review of the overlap of fluid biomarkers in delirium and advanced cancer-related syndromes.

Authors:  Ingrid Amgarth-Duff; Annmarie Hosie; Gideon Caplan; Meera Agar
Journal:  BMC Psychiatry       Date:  2020-04-22       Impact factor: 3.630

6.  The role of EORTC QLQ-C15-PAL scores and inflammatory biomarkers in predicting survival in terminally ill patients with cancer.

Authors:  Nanako Koyama; Chikako Matsumura; Yoshihiro Shitashimizu; Morito Sako; Hideo Kurosawa; Takehisa Nomura; Yuki Eguchi; Kazuki Ohba; Yoshitaka Yano
Journal:  BMC Cancer       Date:  2021-03-23       Impact factor: 4.430

7.  Pretreatment neutrophil-to-lymphocyte ratio and its dynamic changes are associated with the overall survival in advanced cancer patients undergoing palliative care.

Authors:  Weiwei Zhao; Zhenyu Wu; Yintao Li; Huixun Jia; Menglei Chen; Xiaoli Gu; Minghui Liu; Zhe Zhang; Peng Wang; Wenwu Cheng
Journal:  Sci Rep       Date:  2016-08-11       Impact factor: 4.379

8.  Differential Diagnosis of Cachexia and Refractory Cachexia and the Impact of Appropriate Nutritional Intervention for Cachexia on Survival in Terminal Cancer Patients.

Authors:  Nobuhisa Nakajima
Journal:  Nutrients       Date:  2021-03-12       Impact factor: 5.717

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.