Identifying subgroups of patients using Latent Class Analysis: Should we use a single-stage or a two-stage approach? A methodological study using a cohort of patients with low back pain

QR Code

Identifying subgroups of patients using Latent Class Analysis: Should we use a single-stage or a two-stage approach? A methodological study using a cohort of patients with low back pain

Background Heterogeneity in patients with low back pain (LBP) is well recognised and different approaches to subgrouping have been proposed. Latent Class Analysis (LCA) is a statistical technique that is increasingly being used to identify subgroups based on patient characteristics. However, as LBP...

Full description

Bibliographic Details
Main Authors:	Nielsen, A., Kent, Peter, Vach, W., Kongsted, A.
Format:	Journal Article
Published:	Biomed Central Ltd 2017
Online Access:	http://hdl.handle.net/20.500.11937/52208

Similar Items

Using existing questionnaires in latent class analysis: Should we use summary scores or single items as input? A methodological study using a cohort of patients with low back pain
by: Nielsen, A., et al.
Published: (2016)

Latent class analysis derived subgroups of low back pain patients - Do they have prognostic capacity?
by: Molgaard Nielsen, A., et al.
Published: (2017)

How can latent trajectories of back pain be translated into defined subgroups?
by: Kongsted, A., et al.
Published: (2017)

Could the clinical interpretability of subgroups detected using clustering methods be improved by using a novel two-stage approach?
by: Kent, Peter, et al.
Published: (2015)

Patients with low back pain had distinct clinical course patterns that were typically neither complete recovery nor constant pain. A latent class analysis of longitudinal data
by: Kongsted, A., et al.
Published: (2015)

Identification of subgroups of inflammatory and degenerative MRI findings in the axial skeleton: A latent class analysis of 1,037 patients with persistent low back pain
by: Arnbak, B., et al.
Published: (2016)

A comparison of three clustering methods for finding subgroups in MRI, SMS or clinical data: SPSS TwoStep Cluster analysis, Latent Gold and SNOB
by: Kent, Peter, et al.
Published: (2014)

Outcomes differ between subgroups of patients with low back and leg pain following neural manual therapy: a prospective cohort study
by: Schäfer, Axel, et al.
Published: (2011)

The association between subgroups of MRI findings identified with latent class analysis and low back pain in 40-year old Danes
by: Jensen, R., et al.
Published: (2018)

In a secondary care setting, differences between neck pain subgroups classified using the Quebec task force classification system were typically small - A longitudinal study
by: Rasmussen, H., et al.
Published: (2015)

Multidimensional Patient Profiles In Chronic Non-Specific Axial Low Back Pain - Subgrouping And Prognosis
by: Rabey, Martin Ian
Published: (2015)

We should be just a number, and we should embrace it
by: Kendall, G., et al.
Published: (2017)

Do MRI findings identify patients with chronic low back pain and Modic changes who respond best to rest or exercise: A subgroup analysis of a randomised controlled trial
by: Jensen, R., et al.
Published: (2015)

Modelling Financial Satisfaction Across Life Stages: A Latent Class Approach
by: Brown, S., et al.
Published: (2014)

What have we learned from ten years of trajectory research in low back pain?
by: Kongsted, A., et al.
Published: (2016)

Discriminating healthy controls and two clinical subgroups of nonspecific chronic low back pain patients using trunk muscle activitation and lumbosacral kinematics of postures and movements
by: Dankaerts, W., et al.
Published: (2009)

An exploration of familial associations of two movement pattern-derived subgroups of chronic disabling low back pain; a cross-sectional cohort study
by: Caneiro, JP, et al.
Published: (2016)

Bone health and back pain: What do we know and where should we go?
by: Briggs, Andrew, et al.
Published: (2009)

Subgroups of lumbo-pelvic flexion kinematics are present in people with and without persistent low back pain
by: Laird, R., et al.
Published: (2018)

Discourse and language use in history-taking stage of veterinarian-client-patient interaction
by: Jamal, Noorjan Hussein
Published: (2020)

Sensory characteristics of chronic non-specific low back pain: A subgroup investigation
by: O'Sullivan, Peter, et al.
Published: (2014)

Patients with low back pain differ from those who also have leg pain or signs of nerve root involvement - A cross-sectional study
by: Kongsted, A., et al.
Published: (2012)

Goals of therapy: Should we ask what our patients really want?
by: Anstey, Matthew, et al.
Published: (2015)

Early Enteral Nutrition and Clinical Outcomes of Severe Traumatic Brain Injury Patients in Acute Stage: A Multi-Center Cohort Study
by: Chiang, Y., et al.
Published: (2012)

Assessment of on-time vaccination coverage in population subgroups: A record linkage cohort study
by: Moore, H., et al.
Published: (2018)

Should we bother doing dengue vector surveillance, and if so, how should we do it?
by: Williams, Craig R., et al.
Published: (2019)

Coping strategies of patients with end stage kidney disease on hemodialysis: a systematic review
by: Tan, Woei Ling, et al.
Published: (2021)

Predictors of self-management in patients with chronic low back pain: a longitudinal cohort study protocol
by: Banerjee, Anirban, et al.
Published: (2016)

Interpretation of subgroup effects in published trials
by: Hancock, M., et al.
Published: (2013)

Patient-related factors associated with medication adherence behavior in patients with end-stage renal disease: a systematic review
by: Ooi, Peiboon, et al.
Published: (2022)

The Experiences of patients with end stage renal disease living on haemodialysis
by: Lau, Sie Ngo
Published: (2014)

Somatosensory nociceptive characteristics differentiate subgroups in people with chronic low back pain: a cluster analysis
by: Rabey, Martin, et al.
Published: (2015)

Identifying prognosis factors of pathological staging among colorectal patients using ordinal logistic regression model
by: Md Ghani, Nor Azura, et al.

Occupational therapy intervention for cancer patients following hospital discharge: How and when should we intervene? A systematic review.
by: Taylor, Susan, et al.
Published: (2021)

Analyzing continuance of cloud computing in higher education institutions: should we stay, or should we go?
by: Mohammed Qasem, Yousef A., et al.
Published: (2021)

Valveless pumping using a two-stage impedance pump
by: Lee, Vincent, et al.
Published: (2013)

Management of asymptomatic stage IV rectal cancer: should the primary tumor be resected?
by: Faisal, Elagili, et al.
Published: (2014)

Automata for subgroups
by: Fong, Wan Heng, et al.
Published: (2014)

Does a patient’s physical activity predict recovery from an episode of acute low back pain?: a prospective cohort study
by: Hendrick, Paul, et al.
Published: (2013)

End stage heart failure patients: Palliative care in general practice
by: Davidson, Patricia, et al.
Published: (2010)

Cannot write session to /tmp/vufind_sessions/sess_be0joc0f2ka8gdrqjspu3sst0l