Literature DB >> 15549424

Comparison of proposed diagnostic criteria with FACT-F and VAS for cancer-related fatigue: proposal for use as a screening tool.

Simon Van Belle1, Robert Paridaens, Georges Evers, Joseph Kerger, Dominique Bron, Jan Foubert, Gerrit Ponnet, Didier Vander Steichel, Christine Heremans, Dominique Rosillon.   

Abstract

The objective was to validate the use of the proposed International Statistical Classification of Diseases and Related Health Problems (10th revision) (ICD-10) criteria for fatigue (P-ICD10) through comparison with the Functional Assessment of Cancer Therapy Fatigue (FACT-F) subscale and three visual analogue scale (VAS) qualities in cancer patients thought to be fatigued. Fatigue was assessed in 834 cancer patients at three clinical centres in Belgium, using P-ICD10, FACT-F, and VAS to assess: level of energy (VAS1), quality of life (VAS2), and ability to perform daily activities (VAS3). Of the 834 interviewed cancer patients, 54% were classified as fatigued by the P-ICD10 criteria. Internal consistency of P-ICD10 was very good (alpha coefficient 0.82). The principal component analysis corroborated good internal consistency with all variables included in the first component; a second component was used to identify psychological fatigue (concentration and short-term memory disabilities). An abridged set of screening tools based on the first three general symptoms of the P-ICD10 is proposed with 100% specificity and 86% specificity, respectively. There was a marked decrease in FACT-F and VAS1 scores in patients diagnosed as fatigued by the P-ICD10 (mean+/-SD, FACT-F 20+/-9 vs 39+/-8, VAS1 34+/-21 vs 61+/-21). A logistic regression model between P-ICD10 criteria diagnosis and FACT-F (VAS1) identified a score of 34 (61) on the FACT-F scale as a proposed cut-off point for the diagnosis of fatigue. The ICD-10 criteria can be recommended as a diagnostic tool, whereas the FACT-F scale and the level of energy 100-mm VAS assess the intensity of fatigue, and are more suitable for follow-up of cancer-related fatigue.

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Year:  2004        PMID: 15549424     DOI: 10.1007/s00520-004-0734-y

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


  23 in total

1.  Time-limit tests: estimating their reliability and degree of speeding.

Authors:  L J CRONBACH; W G WARRINGTON
Journal:  Psychometrika       Date:  1951-06       Impact factor: 2.500

2.  Preliminary evaluation of a clinical syndrome approach to assessing cancer-related fatigue.

Authors:  Ian J Sadler; Paul B Jacobsen; Margaret Booth-Jones; Heather Belanger; Michael A Weitzner; Karen K Fields
Journal:  J Pain Symptom Manage       Date:  2002-05       Impact factor: 3.612

3.  NCCN Practice Guidelines for Cancer-Related Fatigue.

Authors:  V Mock; A Atkinson; A Barsevick; D Cella; B Cimprich; C Cleeland; J Donnelly; M A Eisenberger; C Escalante; P Hinds; P B Jacobsen; P Kaldor; S J Knight; A Peterman; B F Piper; H Rugo; P Sabbatini; C Stahl
Journal:  Oncology (Williston Park)       Date:  2000-11       Impact factor: 2.990

4.  Cancer patients as 'experts' in defining quality of life domains. A multicentre survey by the Italian Group for the Evaluation of Outcomes in Oncology (IGEO).

Authors:  M Costantini; E Mencaglia; P D Giulio; E Cortesi; F Roila; E Ballatori; M Tamburini; P Casali; L Licitra; D D Candis; B Massidda; M Luzzani; E Campora; S D Placido; S Palmeri; P M Angela; G Baracco; R Gareri; A Martignetti; S Ragosa; L Zoda; M T Ionta; S Bulletti; L Pastore
Journal:  Qual Life Res       Date:  2000-03       Impact factor: 4.147

5.  The Impact of Fatigue on Patients with Cancer: Overview of FATIGUE 1 and 2.

Authors: 
Journal:  Oncologist       Date:  2000-06

6.  Measuring fatigue and other anemia-related symptoms with the Functional Assessment of Cancer Therapy (FACT) measurement system.

Authors:  S B Yellen; D F Cella; K Webster; C Blendowski; E Kaplan
Journal:  J Pain Symptom Manage       Date:  1997-02       Impact factor: 3.612

Review 7.  Impact of fatigue on quality of life in oncology patients.

Authors:  G A Curt
Journal:  Semin Hematol       Date:  2000-10       Impact factor: 3.851

Review 8.  The basis of cancer fatigue: where does it come from?

Authors:  H Gall
Journal:  Eur J Cancer Care (Engl)       Date:  1996-06       Impact factor: 2.520

9.  The relationship between psychologic distress and cancer-related fatigue.

Authors:  N Simon Tchekmedyian; Joel Kallich; Anne McDermott; Peter Fayers; M Haim Erder
Journal:  Cancer       Date:  2003-07-01       Impact factor: 6.860

10.  A comparison of three fatigue measures in veterans with cancer.

Authors:  Shirley S Hwang; Victor T Chang; Basil S Kasimis
Journal:  Cancer Invest       Date:  2003-06       Impact factor: 2.176

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  43 in total

Review 1.  ASCPRO recommendations for the assessment of fatigue as an outcome in clinical trials.

Authors:  Andrea M Barsevick; Charles S Cleeland; Donald C Manning; Ann M O'Mara; Bryce B Reeve; Jane A Scott; Jeff A Sloan
Journal:  J Pain Symptom Manage       Date:  2010-06       Impact factor: 3.612

2.  Psychological and immunological characteristics of fatigued women undergoing radiotherapy for early-stage breast cancer.

Authors:  Nicholas Courtier; Tina Gambling; Stephanie Enright; Peter Barrett-Lee; Jacinta Abraham; Malcolm D Mason
Journal:  Support Care Cancer       Date:  2012-05-28       Impact factor: 3.603

3.  Cancer-related fatigue and associated disability in post-treatment cancer survivors.

Authors:  Jennifer M Jones; Karin Olson; Pamela Catton; Charles N Catton; Neil E Fleshner; Monika K Krzyzanowska; David R McCready; Rebecca K S Wong; Haiyan Jiang; Doris Howell
Journal:  J Cancer Surviv       Date:  2015-04-16       Impact factor: 4.442

4.  A comparison of disrupted sleep patterns in women with cancer-related fatigue and postmenopausal women without cancer.

Authors:  Horng-Shiuann Wu; Jean E Davis; Josna P Padiyar; Hossein Yarandi
Journal:  Eur J Oncol Nurs       Date:  2010-11-18       Impact factor: 2.398

5.  Thyrotropin-releasing hormone as a treatment for cancer-related fatigue: a randomized controlled study.

Authors:  Jayesh Kamath; Richard Feinn; Andrew Winokur
Journal:  Support Care Cancer       Date:  2011-09-27       Impact factor: 3.603

6.  Fatigue predicts impaired social adjustment in survivors of allogeneic hematopoietic cell transplantation (HCT).

Authors:  Jumin Park; Leslie Wehrlen; Sandra A Mitchell; Li Yang; Margaret F Bevans
Journal:  Support Care Cancer       Date:  2018-08-22       Impact factor: 3.603

7.  Impact of health-related quality of life and fatigue on survival of recurrent high-grade glioma patients.

Authors:  Katherine B Peters; Miranda J West; Whitney E Hornsby; Emily Waner; April D Coan; Frances McSherry; James E Herndon; Henry S Friedman; Annick Desjardins; Lee W Jones
Journal:  J Neurooncol       Date:  2014-08-13       Impact factor: 4.130

8.  Recommendations for high-priority research on cancer-related fatigue in children and adults.

Authors:  Andrea M Barsevick; Michael R Irwin; Pamela Hinds; Andrew Miller; Ann Berger; Paul Jacobsen; Sonia Ancoli-Israel; Bryce B Reeve; Karen Mustian; Ann O'Mara; Jin-Shei Lai; Michael Fisch; David Cella
Journal:  J Natl Cancer Inst       Date:  2013-09-18       Impact factor: 13.506

9.  The background and methodology of the Anaemia Cancer Treatment (A.C.T.) study: a global retrospective study of practice patterns and outcomes in the management of anaemia in cancer patients and their congruence with evidence-based guidelines.

Authors:  Matti Aapro; Ivo Abraham; Carsten Bokemeyer; Heinz Ludwig; Karen Macdonald; Pierre Soubeyran; Matthew Turner
Journal:  Support Care Cancer       Date:  2007-09-14       Impact factor: 3.603

Review 10.  A systematic comparison of fatigue levels in systemic sclerosis with general population, cancer and rheumatic disease samples.

Authors:  B D Thombs; M Bassel; L McGuire; M T Smith; M Hudson; J A Haythornthwaite
Journal:  Rheumatology (Oxford)       Date:  2008-08-13       Impact factor: 7.580

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