Evidence map›Paper›PMID 29793536›Full record

Observational studyBMC musculoskeletal disorders2018

Risk classification of patients referred to secondary care for low back pain.

Monica Unsgaard-Tøndel, Ingunn Gunnes Kregnes, Tom I L Nilsen, Gunn Hege Marchand, Torunn Askim

Abstract readObservational Study
In one paragraph

Observational study in BMC musculoskeletal disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Monica Unsgaard-TøndelDepartment of Neuromedicine and Movement Science (INB), NTNU, Faculty of Medicine and Health Sciences, N-7491, Trondheim, Norway. monica.unsgaard.tondel@ntnu.no.
Ingunn Gunnes KregnesDepartment of Physical Medicine and Rehabilitation, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway.
Tom I L NilsenDepartment of Public Health and Nursing, Norwegian University of Science and Technology, Faculty of Medicine and Health Sciences, Trondheim, Norway.
Gunn Hege MarchandDepartment of Neuromedicine and Movement Science (INB), NTNU, Faculty of Medicine and Health Sciences, N-7491, Trondheim, Norway.
Torunn AskimDepartment of Neuromedicine and Movement Science (INB), NTNU, Faculty of Medicine and Health Sciences, N-7491, Trondheim, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNonspecific low back pain is characterized by a wide range of possible triggering and conserving factors, and initial screening needs to scope widely with multilevel addressment of possible factors contributing to the pain experience. Screening tools for classification of patients have been developed to support clinicians. The primary aim of this study was to assess the criterion validity of STarT Back Screening Tool (STarT Back) against the more comprehensive Örebro Musculoskeletal Pain Questionnaire (ÖMPSQ), in a Norwegian sample of patients referred to secondary care for low back pain. Secondary aims were to assess risk classification of the patients, as indicated by both instruments, and to compare pain and work characteristics between patients in the different STarT Back risk categories.

methodsAn observational, cross-sectional survey among patients with low back pain referred to outpatient secondary care assessment at Trondheim University Hospital, Norway. Cohen's Kappa coefficient, Pearson's r and a Bland-Altman plot were used to assess criterion validity of STarT Back against ÖMPSQ. Furthermore, linear regression was used to estimate mean differences with 95% CI in pain and work related variables between the risk groups defined by the STarT Back tool.

resultsA total of 182 persons participated in the study. The Pearsons correlation coefficient for correspondence between scores on ÖMPSQ and STarT Back was 0.76. The Kappa value for classification agreement between the instruments was 0.35. Risk group classification according to STarT Back allocated 34.1% of the patients in the low risk group, 42.3% in the medium risk, and 23.6% in the high risk group. According to ÖMPSQ, 24.7% of the participants were allocated in the low risk group, 28.6% in the medium risk, and 46.7% in the high risk group. Patients classified with high risk according to Start Back showed a higher score on pain and work related characteristics as measured by ÖMPSQ.

conclusionThe correlation between score on the screening tools was good, while the classification agreement between the screening instruments was low. Screening for work factors may be important in patients referred to multidisciplinary management in secondary care.

Indexed as

AdultAgedCross-Sectional StudiesFemaleHumansLow Back PainMaleMiddle AgedNorwayPain MeasurementReferral and ConsultationRisk FactorsSecondary Health CareLow back painMultidisciplinaryPrimary careScreeningSecondary careWork

Identifiers

PMID29793536
PMCPMC5968566

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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.