Evidence map›Paper›PMID 23805978›Full record

ArticleBMC musculoskeletal disorders2013

Detecting insomnia in patients with low back pain: accuracy of four self-report sleep measures.

Saad M Alsaadi, James H McAuley, Julia M Hush, Delwyn J Bartlett, Nicholas Henschke, Ronald R Grunstein, Chris G Maher

Abstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
–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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Prevalence of sleep impairment in patients with tinnitus: a systematic review and single-arm meta-analysis.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2022
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  17. Family Caregivers of People with Dementia Have Poor Sleep Quality: A Nationwide Population-Based Study.International journal of environmental research and public health · 2021
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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

7 authors.

Saad M AlsaadiThe George Institute for Global Health, Sydney Medical School, University of Sydney, Missenden Road, P.O. Box M201, Sydney, New South Wales, Australia. alsaadis@gmail.com
James H McAuley
Julia M Hush
Delwyn J Bartlett
Nicholas Henschke
Ronald R Grunstein
Chris G Maher

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough insomnia is common in patients with low back pain (LBP), it is unknown whether commonly used self-report sleep measures are sufficiently accurate to screen for insomnia in the LBP population. This study investigated the discriminatory properties of the Pittsburgh Sleep Quality Index (Pittsburgh questionnaire), Insomnia Severity Index (Insomnia index), Epworth Sleepiness Scale (Epworth scale) and the sleep item of the Roland and Morris Disability Questionnaire (Roland item) to detect insomnia in patients with LBP by comparing their accuracy to detect insomnia to a sleep diary. The study also aimed to determine the clinical optimal cut-off scores of the questionnaires to detect insomnia in the LBP population.

methodsSeventy nine patients with LBP completed the four self-reported questionnaires and a sleep diary for 7 consecutive nights. The accuracy of the questionnaires was evaluated using Receiver Operator Characteristic (ROC) curves with the Area Under the Curve (AUC) used to examine each test's accuracy to discriminate participants with insomnia from those without insomnia.

resultsThe Pittsburgh questionnaire and Insomnia index had moderate accuracy to detect insomnia (AUC = 0.79, 95% CI = 0.68 to 0.87 and AUC = 0.78, 95% CI = 0.67 to 0.86 respectively), whereas the Epworth scale and the Roland item were not found to be accurate discriminators (AUC = 0.53, 95% CI = 0. 41 to 0.64 and AUC = 0.64, 95% CI = 0.53 to 0.75 respectively). The cut-off score of > 6 for the Pittsburgh questionnaire and the cut-off point of > 14 for the Insomnia index provided optimal sensitivity and specificity for the detection of insomnia.

conclusionsThe Pittsburgh questionnaire and Insomnia index had similar ability to screen for insomnia in patients with low back pain.

Indexed as

AdolescentAdultAgedArea Under CurveCross-Sectional StudiesDisability EvaluationFemaleHumansLow Back PainMaleMiddle AgedPolysomnographyReproducibility of ResultsSeverity of Illness IndexSleepSleep Initiation and Maintenance Disorders

Identifiers

PMID23805978
PMCPMC3701511

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Registered trials

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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.