Variability of "optimal" cut points for mild, moderate, and severe pain: Neglected problems when comparing groups

Pain

Volumn 154, Issue 1, 2013, Pages 154-159

  Hirschfeld, Gerrit ^a   Zernikow, Boris ^a  

^a UNIVERSITY OF WITTEN HERDECKE   (Germany)

Author keywords

Bootstrap; Optimal cut points; Pain; Sensitivity; Specificity

Indexed keywords

ADOLESCENT; ARTICLE; CHILD; CHRONIC PAIN; DISABILITY; DISEASE CLASSIFICATION; DISEASE SEVERITY; FEMALE; HEADACHE; HUMAN; MAJOR CLINICAL STUDY; MALE; MUSCULOSKELETAL PAIN; OPTIMAL CUT POINT; PAIN ASSESSMENT; PAIN INTENSITY; PAIN PARAMETERS; PRIORITY JOURNAL; PROCEDURES; RATING SCALE; SCHOOL CHILD;

EID: 84871636788     PISSN: 03043959     EISSN: 18726623     Source Type: Journal    
DOI: 10.1016/j.pain.2012.10.008     Document Type: Article

References (27)

1. D.G. Altman, B. Lausen, W. Sauerbrei, and M. Schumacher Dangers of using "optimal" cut-points in the evaluation of prognostic factors J Natl Cancer Inst 86 1994 829 835 (Pubitemid 2100935)
2. D.G. Altman, and P. Royston The cost of dichotomising continuous variables BMJ 1080 2006 332
3. D.G. Altman, K.F. Schulz, D. Moher, M. Egger, F. Davidoff, D. Elbourne, P.C. Gotzsche, and T. Lang The revised CONSORT statement for reporting randomized controlled trials: explanation and elaboration Ann Intern Med 134 2001 663 694 (Pubitemid 32322245)
4. P.M. Bossuyt, J.B. Reitsma, D.E. Bruns, C.A. Gatsonis, P.P. Glasziou, L.M. Irwig, D. Moher, R. Drummond, H.C.W. de Vet, and J.G. Lijmer The STARD statement for reporting studies of diagnostic accuracy: explanation and elaboration Clin Chem 49 2003 7 18 (Pubitemid 36078547)
5. Davison AC, Hinkley DV. Bootstrap methods and their applications. cambridge: cambridge university press; 1997.
6. B. Efron Bootstrap methods: another look at the jackknife Ann Stat 7 1979 1 26
7. J.T. Farrar, J.P. Young Jr, L. LaMoreaux, J.L. Werth, and R.M. Poole Clinical importance of changes in chronic pain intensity measured on an 11-point numerical pain rating scale PAIN® 94 2001 149 158 (Pubitemid 33016608)
8. R. Fejer, A. Jordan, and J. Hartvigsen Categorising the severity of neck pain: establishment of cut-points for use in clinical and epidemiological research PAIN® 119 2005 176 182 (Pubitemid 41752977)
9. D.T. Felson, J.J. Anderson, M. Boers, C. Bombardier, D. Furst, and C.H. Goldsmith Preliminary definition of improvement in rheumatoid arthritis Arthritis Rheum 38 1995 727 735
10. D.L. Hoffman, A. Sadosky, E.M. Dukes, and J. Alvir How do changes in pain severity levels correspond to changes in health status and function in patients with painful diabetic peripheral neuropathy? PAIN® 149 2010 194 201
11. N. Holländer, W. Sauerbrei, and M. Schumacher Confidence intervals for the effect of a prognostic factor after selection of an "optimal" cutpoint Stat Med 23 2004 1701 1713 (Pubitemid 38765340)
12. B. Hübner, T. Hechler, M. Dobe, U. Damschen, J. Kosfelder, H. Denecke, S. Schroeder, and B. Zernikow Pain-related disability in adolescents suffering from chronic pain: preliminary examination of the Pediatric Pain Disability Index (P-PDI) Schmerz 23 2009 20 32
13. N.S. Jacobson, and P. Truax Clinical significance. A statistical approach to defining meaningful change in psychotherapy research J Consult Clin Psychol 59 1991 12 19
14. M.P. Jensen, D.G. Smith, D.M. Ehde, and L.R. Robinsin Pain site and the effects of amputation pain: further clarification of the meaning of mild, moderate, and severe pain PAIN® 91 2001 317 322 (Pubitemid 32241153)
15. H. Kapstad, B.R. Hanestad, N. Langeland, T. Rustoen, and K. Stavem Cutpoints for mild, moderate and severe pain in patients with osteoarthritis of the hip or knee ready for joint replacement surgery BMC Musculoskelet Disord 9 2008 55
16. B. Lausen, and M. Schumacher Evaluating the effect of optimized cutoff values in the assessment of prognostic factors Comput Stat Data Anal 21 1996 307 326 (Pubitemid 126403596)
17. H.J. McQuay, J. Barden, and R.A. Moore Clinically important changes - what's important and whose change is it anyway? J Pain Symptom Manage 25 2003 395 396 (Pubitemid 36506663)
18. S.M. Paul, D.C. Zelman, M. Smith, and C. Miaskowski Categorizing the severity of cancer pain: further exploration of the establishment of cutpoints PAIN® 113 2005 37 44 (Pubitemid 40038444)
19. Development Core Team. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing, 2011.
20. A. Ruyssen-Witrand, F. Tubach, and P. Ravund Systematic review reveals heterogeneity in definition of a clinically relevant difference in pain J Clin Epidemiol 64 2011 463 470
21. R.C. Serlin, T.R. Mendoza, Y. Nakamura, K.R. Edwards, and C.S. Cleeland When is cancer pain mild, moderate or severe - grading pain severity by its interference with function PAIN® 61 1995 277 284
22. N. Smidt, A.W. Rutjes, D.A. cvan der Windt, R.W. Ostelo, P.M. Bossuyt, J.B. Reitsma, L.M. Bouter, and H.C. De Vet The quality of diagnostic accuracy studies since the STARD statement: has it improved? Neurology 12 2006 792 797 (Pubitemid 44394191)
23. J. Stiensmeier-Pelster, M. Schürmann, and K. Duda Depressions-Inventar für Kinder und Jugendliche (DIKJ) 2000 Hogrefe Göttingen
24. E. von Elm, D.G. Altman, M. Egger, S.J. Pocock, P.C. Gøtzsche, J.P. Vandenbroucke, and S. Initiative Strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies BMJ 335 2008 806 808
25. D.C. Zelman, E.M. Dukes, N. Brandenburg, A. Bostrom, and M. Gore Identification of cut-points for mild, moderate and severe pain due to diabetic peripheral neuropathy PAIN® 115 2005 29 36
26. D.C. Zelman, D.L. Hoffman, R. Seifeldin, and E.M. Dukes Development of a metric for a day of manageable pain control: derivation of pain severity cut-points for low back pain and osteoarthritis PAIN® 106 2003 35 42 (Pubitemid 37329611)
27. B. Zernikow, J. Wager, T. Hechler, C. Hasan, U. Rohr, M. Dobe, A. Meyer, B. Hübner, C. Wamsler, and M. Blankenburg Characteristics of highly impaired children with severe chronic pain: a 5-year retrospective study on 2249 pediatric pain patients BMC Pediatr 12 2012 54