Article

Development and validation of a risk-prediction nomogram for chronic low back pain using a national health examination survey

2019-10-30

Abstract excerpt

<title>Abstract</title> <p>Background Several prognostic factors for chronic low back pain (CLBP) have been reported. However, there is no study regarding the prediction of CLBP development in general population, using a risk prediction model. Based on this background, the aims of this study were: (1) to develop and validate a risk prediction model for CLBP (chronic low back pain) development in the general popul...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 7c8961a7-744d-5aeb-8068-ac818fd186b4
DOI: 10.21203/rs.2.16547/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Development and validation of a risk-prediction nomogram for chronic low back pain using a national health examination surveyDOI 10.21203/rs.2.16547/v1Read

Prognostic Prediction Models for Patients with Low Back Pain: Systematic Review ProtocolSemantic proximity Read

Chronic Low Back Pain Causal Risk Factors Identified by Mendelian Randomization: a Cross-Sectional Cohort AnalysisSemantic proximity Read

A Biomarker-Based Framework for the Prediction of Future Chronic PainSemantic proximity Read

Development and application of predictive clinical biomarkers for low back pain care: recommendations from the ISSLS phenotype/precision spine focus group.Semantic proximity Read

A Biomarker-Centric Framework for the Prediction of Future Chronic PainSemantic proximity Read

Chronic low back pain causal risk factors identified by Mendelian randomization: a cross-sectional cohort analysisSemantic proximity Read

Toward the Identification of Distinct Phenotypes: Research Protocol for the Low Back Pain Biological, Biomechanical, and Behavioral (LB3P) Cohort Study and the BACPAC Mechanistic Research Center at the University of Pittsburgh.Semantic proximity Read

Identifying cases of chronic pain using health administrative data: A validation studySemantic proximity Read

Development and Validation of a Prognostic Model for Osteoarthritis Risk in Older Adults with a History of Stroke: A Cross-sectional Analysis Based on NHANES 2011–2018Semantic proximity Read

Design of the COMEBACK and BACKHOME Studies, Longitudinal Cohorts for Comprehensive Deep Phenotyping of Adults with Chronic Low-Back Pain (cLBP): a part of the BACPAC Research ProgramSemantic proximity Read

Biobehavioral phenotypes of chronic low back pain: Psychosocial subgroup identification using latent profile analysis.Semantic proximity Read

Development and Validation of a Clinical Prediction Model for Acupuncture Response in Community-Dwelling Patients with Chronic Low Back Pain: A Retrospective Cohort StudySemantic proximity Read