Patterns of symptoms and functional impairments in children with cancer

Pediatric Blood and Cancer

Volumn 61, Issue 7, 2014, Pages 1282-1288

  Buckner, Tyler W ^a   Wang, Jichuan ^b,c   Dewalt, Darren A ^a   Jacobs, Shana ^b,c   Reeve, Bryce B ^a   Hinds, Pamela S ^b,c  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

^b CHILDREN'S NATIONAL MEDICAL CENTER   (United States)

^c GEORGE WASHINGTON UNIVERSITY   (United States)

Author keywords

Cluster analysis; Latent profile analysis; Multiple symptoms; Patient reported outcomes; Pediatric oncology

Indexed keywords

ACUTE LEUKEMIA; ADOLESCENT; ANXIETY; ARTICLE; BRAIN TUMOR; CANCER PAIN; CANCER SURVIVOR; CANCER THERAPY; CHILD; CHILDHOOD CANCER; CLUSTER ANALYSIS; DEMOGRAPHY; DEPRESSION; DISEASE ASSOCIATION; DISEASE SEVERITY; EDUCATIONAL STATUS; ETHNICITY; FATIGUE; FEASIBILITY STUDY; FEMALE; FUNCTIONAL DISEASE; HUMAN; INFORMATION SYSTEM; LATENT PROFILE ANALYSIS; LYMPHOMA; MAJOR CLINICAL STUDY; MALE; PEER GROUP; PHYSICAL MOBILITY; PRIORITY JOURNAL; RACE; SOLID TUMOR; SYMPTOM;

CLUSTER ANALYSIS; LATENT PROFILE ANALYSIS; MULTIPLE SYMPTOMS; PATIENT-REPORTED OUTCOMES; PEDIATRIC ONCOLOGY;

ADOLESCENT; CHILD; DISABILITY EVALUATION; FEMALE; HUMANS; MALE; NEOPLASMS; SURVIVORS; SYMPTOM ASSESSMENT;

EID: 84899698510     PISSN: 15455009     EISSN: 15455017     Source Type: Journal    
DOI: 10.1002/pbc.25029     Document Type: Article

References (48)

1. Robison LL, Armstrong GT, Boice JD, et al. The Childhood Cancer Survivor Study: A National Cancer Institute-supported resource for outcome and intervention research. J Clin Oncol 2009; 27:2308-2318.
2. National Cancer Institute UDoHaHS. National Cancer Institute: A Snapshot of Pediatric Cancers. http://www.cancer.gov/researchandfunding/snapshots/pdf/Pediatric-Snapshot.pdf. Published October, 2012 Accessed March 6; 2013.
3. Barsevick AM. The elusive concept of the symptom cluster. Oncol Nurs Forum 2007; 34:971-980.
4. Dodd MJ, Miaskowski C, Lee KA. Occurrence of symptom clusters. J Natl Cancer Inst Monogr 2004; (32):76-78.
5. Baggott C, Dodd M, Kennedy C, et al. Multiple symptoms in pediatric oncology patients: A systematic review. J Pediatr Oncol Nurs 2009; 26:325-339.
6. Aktas A. Cancer symptom clusters: Current concepts and controversies. Curr Opin Support Palliat Care 2013; 7:38-44.
7. Barsevick AM, Whitmer K, Nail LM, et al. Symptom cluster research: Conceptual, design, measurement, and analysis issues. J Pain Symptom Manage 2006; 31:85-95.
8. Dodd MJ, Miaskowski C, Paul SM. Symptom clusters and their effect on the functional status of patients with cancer. Oncol Nurs Forum 2001; 28:465-470.
9. Xiao C. The state of science in the study of cancer symptom clusters. Eur J Oncol Nurs 2010; 14:417-434.
10. Kim HJ, Abraham I, Malone PS. Analytical methods and issues for symptom cluster research in oncology. Curr Opin Support Palliat Care 2013; 7:45-53.
11. Kirkova J, Aktas A, Walsh D, et al. Cancer symptom clusters: Clinical and research methodology. J Palliat Med 2011; 14:1149-1166.
12. Kim HJ, Abraham IL. Statistical approaches to modeling symptom clusters in cancer patients. Cancer Nurs 2008; 31:E1-E10.
13. Yeh CH, Chiang YC, Chien LC, et al. Symptom clustering in older Taiwanese children with cancer. Oncol Nurs Forum 2008; 35:273-281.
14. Hockenberry MJ, Hooke MC, Gregurich M, et al. Symptom clusters in children and adolescents receiving cisplatin, doxorubicin, or ifosfamide. Oncol Nurs Forum 2010; 37:E16-E27.
15. Hockenberry MJ, Hooke MC, McCarthy K, et al. Sickness behavior clustering in children with cancer. J Pediatr Oncol Nurs 2011; 28:263-272.
16. Baggott C, Cooper BA, Marina N, et al. Symptom cluster analyses based on symptom occurrence and severity ratings among pediatric oncology patients during myelosuppressive chemotherapy. Cancer Nurs 2012; 35:19-28.
17. Atay S, Conk Z, Bahar Z. Identifying symptom clusters in paediatric cancer patients using the Memorial Symptom Assessment Scale. Eur J Cancer Care (Engl) 2012; 21:460-468.
18. Wang J, Lanza ST. Preface of methods and applications of mixture models, special journal issue of advances and applications of statistical sciences. Adv Appl Stat Sci 2010; 3:1-6.
19. Wang J, Wang X. Structural equation modeling with Mplus: Methods and applications. Hoboken, NJ: Wiley; 2012. 478p.
20. Barsevick AM, Aktas A. Cancer symptom cluster research: New perspectives and tools. Curr Opin Support Palliat Care 2013; 7:36-37.
21. Miaskowski C, Aouizerat BE, Dodd M, et al. Conceptual issues in symptom clusters research and their implications for quality-of-life assessment in patients with cancer. J Natl Cancer Inst Monogr 2007; (37):39-46.
22. Barsevick AM. The concept of symptom cluster. Semin Oncol Nurs 2007; 23:89-98.
23. Rodgers CC, Hooke MC, Hockenberry MJ. Symptom clusters in children. Curr Opin Support Palliat Care 2013; 7:67-72.
24. Hinds PS, Nuss SL, Ruccione KS, et al. PROMIS pediatric measures in pediatric oncology: Valid and clinically feasible indicators of patient-reported outcomes. Pediatr Blood Cancer 2013; 60:402-408.
25. Irwin DE, Stucky BD, Langer MM, et al. PROMIS Pediatric Anger Scale: An item response theory analysis. Qual Life Res 2012; 21:697-706.
26. Irwin DE, Stucky B, Langer MM, et al. An item response analysis of the pediatric PROMIS anxiety and depressive symptoms scales. Qual Life Res 2010; 19:595-607.
27. Varni JW, Stucky BD, Thissen D, et al. PROMIS Pediatric Pain Interference Scale: An item response theory analysis of the pediatric pain item bank. J Pain 2010; 11:1109-1119.
28. DeWitt EM, Stucky BD, Thissen D, et al. Construction of the eight-item patient-reported outcomes measurement information system pediatric physical function scales: Built using item response theory. J Clin Epidemiol 2011; 64:794-804.
29. Arminger G, Clogg CC, Sobel ME. Handbook of statistical modeling for the social and behavioral sciences. New York: Plenum Press; 1995. 592p.
30. Collins LM, Lanza ST. Latent class and latent transition analysis: With applications in the social behavioral, and health sciences. Hoboken, NJ: Wiley; 2010. 285p.
31. McCutcheon AL. Latent class analysis. Newbury Park: Sage Publications; 1987. 96p.
32. Marcoulides GA, Schumacker RE. New developments and techniques in structural equation modeling. Mahwah, NJ: Lawrence Erlbaum Associates; 2001. 333p.
33. Muthen BO, Beyond SEM. General latent variable modeling. Behaviormetrika 2002; 29:81-117.
34. Kaplan D, Sage Publications, Inc. The Sage handbook of quantitative methodology for the social sciences. Thousand Oaks, CA: Sage; 2004. 511p.
35. Lo Y, Mendell NR, Rubin DB. Testing the number of components in a normal mixture. Biometrika 2001; 88:767-778.
36. McLachlan GJ, Peel D. Finite mixture models. New York: Wiley; 2000. xxii, 419pp.
37. Muthen L, Muthen B. Mplus user's guide. 6th edition. Los Angeles, CA: Muthen & Muthen; 1998-2010. 752p.
38. Nagin DS. Group-based modeling of development. London, UK: Harvard University Press; 2005. 214p.
39. Clark SL. Mixture modeling with behavioral data. Doctoral dissertation. Los Angeles: University of California; 2010.
40. Miaskowski C, Cooper BA, Paul SM, et al. Subgroups of patients with cancer with different symptom experiences and quality-of-life outcomes: A cluster analysis. Oncol Nurs Forum 2006; 33:E79-E89.
41. Pud D, Ben Ami S, Cooper BA, et al. The symptom experience of oncology outpatients has a different impact on quality-of-life outcomes. J Pain Symptom Manage 2008; 35:162-170.
42. Hsu MC, Tu CH. Improving quality-of-life outcomes for patients with cancer through mediating effects of depressive symptoms and functional status: A three-path mediation model. J Clin Nurs 2013. Epub ahead of print.
43. Tseng TH, Cleeland CS, Wang XS, et al. Assessing cancer symptoms in adolescents with cancer using the Taiwanese version of the M.D. Anderson Symptom Inventory. Cancer Nurs 2008; 31:E9-E16.
44. Ewing JE, King MT, Smith NF. Validation of modified forms of the PedsQL generic core scales and cancer module scales for adolescents and young adults (AYA) with cancer or a blood disorder. Qual Life Res 2009; 18:231-244.
45. Illi J, Miaskowski C, Cooper B, et al. Association between pro- and anti-inflammatory cytokine genes and a symptom cluster of pain, fatigue, sleep disturbance, and depression. Cytokine 2012; 58:437-447.
46. Kim HJ, Barsevick AM, Fang CY, et al. Common biological pathways underlying the psychoneurological symptom cluster in cancer patients. Cancer Nurs 2012; 35:E1-E20.
47. Stephens RL, Petras H, Fabian A, et al. Patterns of functional impairment and their change among youth served in systems of care: An application of latent transition analysis. J Behav Health Serv Res 2010; 37:491-507.
48. Bray BC, Lanza ST, Collins LM. Modeling relations among discrete developmental processes: A general approach to associative latent transition analysis. Struct Equ Modeling 2010; 17:541-569.