Evidence map›Paper›PMID 28138782›Full record

ArticleEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society2018

Clinical classes of injured workers with chronic low back pain: a latent class analysis with relationship to working status.

Lisa C Carlesso, Y Raja Rampersaud, Aileen M Davis

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Article in European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Lisa C CarlessoSchool of Rehabilitation, Faculty of Medicine, Université de Montréal, C.P. 6128, succursale Centre-ville, Montréal, QC, H3C 3J7, Canada. lisa.carlesso@umontreal.ca.
Y Raja RampersaudDivision of Orthopedic Surgery, Department of Surgery, University of Toronto, Toronto, ON, Canada.
Aileen M DavisHealth Care and Outcomes Research, Toronto Western Research Institute, University Health Network, Toronto, Canada.

Funding

CIHR
6 · The paper itself

Abstract

purposeTo determine (a) clinical classes of injured workers with chronic low back pain (CLBP), (b) predictors of class membership and (c) associations of classes with baseline work status.

methodsPatients with CLBP from a tertiary care outpatient clinic in Toronto, Canada were sampled. Latent class analysis was applied to determine class structure using physical, psychological and coping indicators. Classes were interpreted by class-specific means and analyzed for predictors of membership. Lastly, association of the classes with being off work was modeled.

resultsA 3-class model was chosen based on fit criteria, theoretical and clinical knowledge of this population. The resultant 3 classes represented low, moderate and high levels of clinical severity. Predictors of being in the high severity group compared to the low severity group were < high school education [odds ratio (OR) 3.06, 95% CI (1.47, 6.37)] and comorbidity total [OR 1.28, 95% CI (1.03, 1.59)]. High severity class membership was associated with four times increased risk of being off work at baseline compared to those in the low severity group [OR 3.98, 95% CI (1.61, 6.34)].

conclusionsIn a cohort of injured workers with CLBP, 3 clinical classes were identified with distinct psychological and physical profiles. These profiles are useful in aiding clinicians to identify patients of high clinical severity who may be potentially at risk for problematic return to work.

Indexed as

Disability EvaluationAdultCanadaChronic PainComorbidityCross-Sectional StudiesEmploymentFemaleHumansLow Back PainMaleMiddle AgedOccupational InjuriesPain MeasurementPatient Reported Outcome MeasuresPsychometricsClinical classesLatent variable mixture modelLow back injuryWorkers

Identifiers

PMID28138782

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.