Psychosocial predictors of posttreatment pain after nonmetastatic breast cancer treatment: A systematic review and meta-analysis of prospective studies

Journal of Pain Research

Volumn 11, Issue , 2018, Pages 23-36

  Johannsen, M ^a,b   Frederiksen, Y ^a,b   Jensen, A B ^a   Zachariae, R ^a,b  

^a AARHUS UNIVERSITY HOSPITAL   (Denmark)

^b AARHUS UNIVERSITY   (Denmark)

Author keywords

Behavioral symptoms; Breast cancer; Pain; Personality traits; Predictors; Social support

Indexed keywords

AGE DISTRIBUTION; ANXIETY; BECK DEPRESSION INVENTORY; BREAST CANCER; BREAST SURGERY; CANCER SURVIVAL; COPING BEHAVIOR; DEPRESSION; DISEASE ASSOCIATION; FOLLOW UP; HOSPITAL ANXIETY AND DEPRESSION SCALE; HUMAN; META ANALYSIS; PAIN ASSESSMENT; PAIN INTENSITY; PATIENT ATTITUDE; POSTOPERATIVE PAIN; PREDICTIVE VALUE; PSYCHOSOCIAL REHABILITATION; QUALITY OF LIFE; REVIEW; SOCIAL PSYCHOLOGY; SOCIAL SUPPORT; SYSTEMATIC REVIEW;

EID: 85041543866     PISSN: None     EISSN: 11787090     Source Type: Journal    
DOI: 10.2147/JPR.S124665     Document Type: Review

References (64)

1. Mejdahl M, Andersen K, Gärtner R, Kroman N, Kehlet H. Persistent pain and sensory disturbances after treatment for breast cancer: six year nationwide follow-up study. Br Med J. 2013;1865:1–14.
2. Gärtner R, Jensen M, Nielsen J, Ewertz M, Kroman N, Kehlet H. Prevalence of and factors associated with persistent pain following breast cancer surgery. J Am Med Assoc. 2009;302(18):1985–1992.
3. Johannsen M, Christensen S, Zachariae R, Jensen A. Socio-demographic, treatment-related, and health behavioral predictors of persistent pain 15 months and 7–9 years after surgery: a nationwide prospective study of women treated for primary breast cancer. Breast Cancer Res Treat. 2015;152(3):645–658.
4. The IASP Task Force on Taxonomy I. Part III: pain terms, a current list with definitions and notes on usage. In: Merskey H, Bogduk N, editors. Classification of Chronic Pain. 2nd ed. Seattle, WA: IASP Press; 1994:209–214.
5. Andersen KG, Kehlet H. Persistent pain after breast cancer treatment: a critical review of risk factors and strategies for prevention. J Pain. 2011;12(7):725–746.
6. Hui D, Bruera E. A personalized approach to assessing and managing pain in patients with cancer. J Clin Oncol. 2014;32(16):1640–1646.
7. Aaronson NK, Mattioli V, Minton O, et al. Beyond treatment - psychosocial and behavioural issues in cancer survivorship research and practice. Eur J Cancer Suppl. 2014;12(1):54–64.
8. Wang L, Guyatt GH, Kennedy SA, et al. Predictors of persistent pain after breast cancer surgery: a systematic review and meta-analysis of observational studies. Can Med Assoc J. 2016;188(14):E352–E361.
9. Mejdahl MK, Mertz BG, Bidstrup PE. Preoperative distress predicts persistent pain after breast cancer treatment: a prospective cohort study. J Natl Compr Cancer Netw. 2015;13(8):995–1003.
10. Leysen L, Beckwée D, Nijs J, et al. Risk factors of pain in breast cancer survivors: a systematic review and meta-analysis. Support Care Cancer. 2017;25(12):3607–3643.
11. Novy DM, Aigner CJ. The biopsychosocial model in cancer pain. Curr Opin Support Palliat Care. 2014;8(2):117–123.
12. Melzack R, Wall P. Pain mechanisms: a new theory. Science. 1965;150(3699):971–979.
13. Melzack R. From the gate to the neuromatrix. Pain. 1999;Suppl 6(1): S121-S161.
14. Schreiber KL, Kehlet H, Belfer I, Edwards RR. Predicting, preventing and managing persistent pain after breast cancer surgery: the importance of psychosocial factors. Pain Manag. 2014;4(6):445–459.
15. Day MA, Jensen MP, Ehde DM, Thorn BE. Toward a theoretical model for mindfulness-based pain management. J Pain. 2014;15(7):691–703.
16. Belfer I, Schreiber KL, Shaffer JR, et al. Persistent postmastectomy pain in breast cancer survivors: analysis of clinical, demographic, and psychosocial factors. J Pain. 2013;14(10):1185–1195.
17. Schreiber KL, Martel MO, Shnol H, et al. Persistent pain in postmastectomy patients: comparison of psychophysical, medical, surgical, and psychosocial characteristics between patients with and without pain. Pain. 2013;154(5):660–668.
18. Bell RJ, Robinson PJ, Nazeem F, et al. Persistent breast pain 5 years after treatment of invasive breast cancer is largely unexplained by factors associated with treatment. J Cancer Surviv. 2014;8(1):1–8.
19. Miaskowski C, Cooper B, Paul SM, et al. Identification of patient subgroups and risk factors for persistent breast pain following breast cancer surgery. J Pain. 2012;13(12):1172–1187.
20. Katz J, Poleshuck EL, Andrus CH, et al. Risk factors for acute pain and its persistence following breast cancer surgery. Pain. 2005;119(1–3):16–25.
21. Bruce J, Thornton AJ, Powell R, et al. Psychological, surgical, and sociodemographic predictors of pain outcomes after breast cancer surgery: a population-based cohort study. Pain. 2014;155(2):232–243.
22. Meretoja TJ, Andersen KG, Bruce J, et al. Clinical prediction model and tool for assessing risk of persistent pain after breast cancer surgery. J Clin Oncol. 2017;35(15):1660–1667.
23. Poleschuk, Katz J, Andrus C, et al. Risk factors for chronic pain following breast cancer surgery: a prospective study. J Pain. 2006;7(9): 626–634.
24. Bishop SR, Warr D. Coping, catastrophizing and chronic pain in breast cancer. J Behav Med. 2003;26(3):265–281.
25. Andersen KG, Duriaud HM, Jensen HE, Kroman N, Kehlet H. Predictive factors for the development of persistent pain after breast cancer surgery. Pain. 2015;156(12):2413–2422.
26. Liberati A, Altman DG, Tetzlaff J, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. J Clin Epidemiol. 2009;62(10):34.
27. Sackett DL, Rosenberg W, Gray J, Haynes J, Richardson W. Evidence based medicine: what it is and what it isn’t. Br Med J. 1996;312(7023):71–72.
28. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159–174.
29. McHugh M. Interrater reliability: the kappa statistic. Biochem Medica. 2012;22(3):276–282.
30. The National Institute of Health: National Heart Lung and Blood Institute (NILBI). Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. Available from:https://www.nhlbi.nih.gov/health-pro/guidelines/in-develop/cardiovascular-risk-reduction/tools/cohort. Accessed March 09, 2017.
31. Rosenthal R, Rubin DB. r equivalent: a simple effect size indicator. Psychol Methods. 2003;8(4):492–496.
32. Lipsey MW, Wilson DB. The efficacy of psychological, educational, and behavioral treatment: confirmation from meta-analysis. Am Psychol. 1993;48(12):1181–1209.
33. Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2nd ed. Mahwah, NJ: Lawrence Erlbaum Associates; 1988.
34. Ioannidis JPA, Trikalinos TA. The appropriateness of asymmetry tests for publication bias in meta-analyses: a large survey. Can Med Assoc J. 2007;176(8):1091–1096.
35. Egger M, Smith GD, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. Br Med J. 1997;315(7109):629–634.
36. Copas J, Shi JQ. Meta-analysis, funnel plots and sensitivity analysis. Biostatistics. 2000;1(3):247–262.
37. Rosenthal R. The file drawer problem and tolerance for null results. Psychol Bull. 1979;86(3):638–641.
38. Duval S, Tweedie R. Trim and fill: a simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics. 2000;56(2):455–463.
39. Sterne J, Egger M, Moher D. Adressing reporting biases. In: Higgins J, Green S, editors. Cochrane Handbook for Systematic Reviews of Intervention. Chichester: Wiley-Blackwell; 2008:297–333.
40. Poole C, Greenland S. Random-effects meta-analyses are not always conservative. Am J Epidemiol. 1999;150(5):469–475.
41. Higgins JPT, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327(7414):557–560.
42. Dijkstra PU, Rietman JS, Geertzen JHB. Phantom breast sensations and phantom breast pain: a 2-year prospective study and a methodological analysis of literature. Eur J Pain. 2007;11(1):99–108.
43. van de Wiel H, Geerts E, Hoekstra-Weebers J. Explaining inconsistent results in cancer quality of life studies: the role of the stressresponse system. Psychooncology. 2008;17(2):174–181.
44. Hughes S, Jaremka LM, Alfano CM, et al. Social support predicts inflammation, pain, and depressive symptoms: longitudinal relationships among breast cancer survivors. Psychoneuroendocrinology. 2014;42:38–44.
45. Leung J, Pachana NA, Mclaughlin D. Social support and health-related quality of life in women with breast cancer: a longitudinal study. Psychooncology. 2014;23(9):1014–1020.
46. Meretoja TJ, Leidenius MHK, Tasmuth T, Sipilä R, Kalso E. Pain at 12 months after surgery for breast cancer. JAMA. 2014;311(1):90.
47. Andersen KG, Duriad HM, Jensen HE, Kroman N, Kehlet H. Predictive factors for the development of persistent pain after breast cancer surgery. Pain. 2015;156(12):2413–2422.
48. Mejdahl M, Mertz B, Bidstrup P. Preoperative distress predicts persistent pain after breast cancer treatment: a prospective cohort study. J Natl Compre Canc Netw. 2015;13(8):995–1003.
49. Baudic S, Jayr C, Albi-Feldzer A, et al. Effect of alexithymia and emotional repression on postsurgical pain in women with breast cancer: a prospective longitudinal 12-month study. J Pain. 2016;17(1):90–100.
50. Nijs J, Leysen L, Adriaenssens N, et al. Pain following cancer treatment: guidelines for the clinical classification of predominant neuropathic, nociceptive and central sensitization pain. 2016;55(6):659–663.
51. Martinez A, Zarazaga R, Maestre C. Perceived social support and coping responses are independent variables explaining pain adjustment among chronic pain patients. J Pain. 2008;9(4):373–379.
52. Kerns RD, Rosenberg R, Otis JD. Self-appraised problem solving and pain-relevant social support as predictors of the experience of chronic pain. Ann Behav Med. 2002;24(2):100–105.
53. Krahé C, Springer A, Weinman JA, Fotopoulou A. The social modulation of pain: others as predictive signals of salience – a systematic review. Front Hum Neurosci. 2013;7:1–21.
54. Jensen MP, Moore MR, Bockow TB, Ehde DM, Engel JM. Psychosocial factors and adjustment to chronic pain in persons with physical disabilities: a systematic review. Arch Phys Med Rehabil. 2011;92(1):146–160.
55. Geisser ME, Robinson ME, Keefe FJ, Weiner ML. Catastrophizing, depression and the sensory, affective and evaluative aspects of chronic pain. Pain. 1994;59(1):79–83.
56. Bair MJ, Poleshuck EL, Wu J, et al. Anxiety but not social stressors predict 12-month depression and pain severity. Clin J Pain. 2013;29(2): 95–101.
57. Lerman SF, Rudich Z, Brill S, Shalev H, Shahar G. Longitudinal associations between depression, anxiety, pain, and pain-related disability in chronic pain patients. Psychosom Med. 2015;77(3):333–341.
58. Bair MJ Katon W,Kroenke K. RRL. Depression and pain comorbidity: a literature review. Arch Intern Med. 2003;163(20):2433–2445.
59. Egger M, Jüni P, Bartlett C, Holenstein F, Sterne J. How important are comprehensive literature searches and the assessment of trial quality in systematic reviews? Empirical study. Health Technol Assess. 2003;7(1): 1–76.
60. Peacock S, Patel S. Cultural influences on pain. Rev pain. 2008;1(2):6–9.
61. Johannsen M, Farver I, Beck N, Zachariae R. The efficacy of psychosocial intervention for pain in breast cancer patients and survivors: a systematic review and meta-analysis. Breast Cancer Res Treat. 2013;138(3):675–690.
62. Syrjala KL, Jensen MP, Mendoza ME, Yi JC, Fisher HM, Keefe FJ. Psychological and behavioral approaches to cancer pain management. J Clin Oncol. 2014;32(16):1703–1712.
63. Veehof MM, Oskam M-J, Schreurs KMG, Bohlmeijer ET. Acceptance-based interventions for the treatment of chronic pain: a systematic review and meta-analysis. Pain. 2011;152(3):533–542.
64. Laroche F, Coste J, Medkour T, et al. Classification of and risk factors for estrogen deprivation pain syndromes related to aromatase inhibitor treatments in women with breast cancer: A prospective multicenter cohort study. J Pain. 2014;15(3):293–303.