Could the clinical interpretability of subgroups detected using clustering methods be improved by using a novel two-stage approach?

Chiropractic and Manual Therapies

Volumn 23, Issue 1, 2015, Pages

  Kent, Peter ^a   Stochkendahl, Mette Jensen ^b   Christensen, Henrik Wulff ^b   Kongsted, Alice ^a,b  

^a UNIVERSITY OF SOUTHERN DENMARK   (Denmark)

^b NORDIC INSTITUTE OF CHIROPRACTIC AND CLINICAL BIOMECHANICS   (Denmark)

Author keywords

Chest pain; Clustering; Latent class analysis; Low back pain; Stratified health care; Subgroups

Indexed keywords

ANGINA PECTORIS; ARTICLE; CLUSTER ANALYSIS; HUMAN; LATENT CLASS ANALYSIS; LOW BACK PAIN; MUSCULOSKELETAL CHEST PAIN; OUTCOME ASSESSMENT; PAIN ASSESSMENT; PRIORITY JOURNAL; SAMPLE SIZE; STATISTICAL ANALYSIS; STUDY DESIGN; THORAX PAIN;

EID: 84934753200     PISSN: None     EISSN: 2045709X     Source Type: Journal    
DOI: 10.1186/s12998-015-0064-9     Document Type: Article

References (27)

1. Hingorani AD, Windt DA, Riley RD, Abrams K, Moons KG, Steyerberg EW, et al. Prognosis research strategy (PROGRESS) 4: Stratified medicine research. BMJ. 2013;346, e5793.
2. Kroenke K, Harris L. Symptoms research: a fertile field. Ann Intern Med. 2001;134(9 Pt 2):801-2.
3. Amirall D, Compton SN, Gunlicks-Stoessel M, Duan N, Murphy S. Designing a pilot sequential multiple assignment randomized trial for developing an adaptive treatment strategy. Stat Med. 2012;31:1887-902.
4. Von Korff KM, Moore JC: Stepped care for back pain: activating approaches for primary care. Ann Intern Med 2001;134(9 Pt 2):911-7.
5. Hayden JA, Côté P, Steenstra IA, Bombardier C. Group ftQ-LW: Identifying phases of investigation helps planning, appraising and applying the results of explanatory prognosis studies. J Clin Epidemiol. 2008;61(6):552-60.
6. Kotsiantis S, Pintelas P: Recent Advances in Clustering: A Brief Survey, WSEAS Transactions on Information Science and Applications 2004;1(1):73-81.
7. von Eye A, Bogat GA, Rhodes JE. Variable-oriented and person-oriented perspectives of analysis: the example of alcohol consumption in adolescence. J Adolesc. 2006;29(6):981-1004.
8. Schellingerhout JM, Heymans MW, Verhagen AP, Lewis M, de Vet HC, Koes BW. Prognosis of patients with nonspecific neck pain: development and external validation of a prediction rule for persistence of complaints. Spine (Phila Pa 1976). 2010;35(17):E827-835.
9. Kent P, Keating JL, Leboeuf-Yde C: Research methods for subgrouping low back pain. BMC Research Methods 2010, 10:62doi: 10.1186/1471-2288-10-62 .
10. Beneciuk JM, Robinson ME, George SZ. Low back pain subgroups using fear-avoidance model measures: results of a cluster analysis. Clin J Pain. 2012;28(8):658-66.
11. Westman AE, Boersma K, Leppert J, Linton SJ. Fear-avoidance beliefs, catastrophizing, and distress: a longitudinal subgroup analysis on patients with musculoskeletal pain. Clin J Pain. 2011;27(7):567-77.
12. Hill JC, Dunn KM, Lewis M, Mullis R, Main C. J., Foster NE, Hay EM: A primary care back pain screening tool: Identifying patient subgroups for initial treatment. Arthritis Rheum. 2008;59(5):632-41.
13. Jorgensen CK, Fink P, Olesen F. Psychological distress and somatisation as prognostic factors in patients with musculoskeletal illness in general practice. Br J Gen Pract. 2000;50(456):537-41.
14. Pincus T, Burton A, Vogel S, Field A. A systematic review of psychological factors as predictors of chronicity/disability in prospective cohorts of low back pain. Spine. 2002;27(5):E109-20.
15. Tetko IV, Livingstone DJ, Luik AI. Neural network studies. 1. Comparison of overfitting and overtraining. J Chem Inf Comput Sci. 1995;35(5):826-33.
16. Collins LM, Lanza ST. Latent class and latent transition analysis for the social, behavioral, and health sciences. New York: Wiley; 2010.
17. Beneciuk JM, Robinson ME, George SZ: Subgrouping For Patients With Low Back Pain: A Multidimensional Approach Incorporating Cluster Analysis & The STarT Back Screening Tool. J Pain 2015;16(1):19-30. doi: 10.1016/j.jpain.2014.10.004 .
18. Foster NE, Hill JC, Hay EM. Subgrouping patients with low back pain in primary care: are we getting any better at it? Man Ther. 2011;16(1):3-8.
19. Fritz JM, Cleland JA, Childs JD. Subgrouping patients with low back pain: evolution of a classification approach to physical therapy. J Orthop Sports Phys Ther. 2007;37(6):290-302.
20. World Health Organisation. International Classification of Functioning, Disability and Health. Geneva, Switzerland: World Health Organisation; 2001.
21. Takahashi O, Cook EF, Nakamura T, Saito J, Ikawa F, Fukui T. Risk stratification for in-hospital mortality in spontaneous intracerebral haemorrhage: a Classification and Regression Tree analysis. QJM. 2006;99(11):743-50.
22. McGinn TG, Guyatt GH, Wyer PC, Naylor CD, Stiell IG, Richardson WS. Users' guides to the medical literature: XXII: how to use articles about clinical decision rules. JAMA. 2000;284:79-84.
23. Stochkendahl MJ, Christensen HW, Vach W, Hoilund-Carlsen PF, Haghfelt T, Hartvigsen J. Diagnosis and treatment of musculoskeletal chest pain: design of a multi-purpose trial. BMC Musculoskelet Disord. 2008;9:40.
24. Stochkendahl MJ, Christensen HW, Vach W, Hoilund-Carlsen PF, Haghfelt T, Hartvigsen J. Chiropractic treatment vs self-management in patients with acute chest pain: a randomized controlled trial of patients without acute coronary syndrome. J Manipulative Physiol Ther. 2012;35(1):7-17.
25. Christensen HW, Vach W, Gichangi A, Manniche C, Haghfelt T, Hoilund-Carlsen PF. Manual therapy for patients with stable angina pectoris: a nonrandomized open prospective trial. J Manipulative Physiol Ther. 2005;28(9):654-61.
26. Christensen HW, Vach W, Gichangi A, Manniche C, Haghfelt T, Hoilund-Carlsen PF. Cervicothoracic angina identified by case history and palpation findings in patients with stable angina pectoris. J Manipulative Physiol Ther. 2005;28(5):303-11.
27. Vigneau E, Sahmer K, Qannariand EM, Bertrand D. Clustering of variables to analyze spectral data. J Chemometrics. 2005;19:122-8.