Cited by 13Musculoskeletal pain and rehabilitationSpine and Intervertebral Disc PathologyPain Mechanisms and Treatments

Agreement of self-reported items and clinically assessed nerve root involvement (or sciatica) in a primary care setting

Open access
Konstantinou, Kika, Lewis, Martyn, Dunn, Kate M.·2012·European Spine Journal

Abstract

INTRODUCTION: We analysed baseline measures from an RCT involving adults with low back pain (LBP) with or without referred leg pain, to identify self-report items that best identified clinically determined nerve root involvement (sciatica). METHODS: Potential indicators of nerve root involvement were gathered using a self-reported questionnaire. Participants underwent a standardised physical examination on the same day as questionnaire completion. Self-reported items were compared to a reference standard (clinical diagnosis) using sensitivity, specificity, predictive values, likelihood ratios (LRs), the area under the receiver operating characteristic curve and logistic regression. Two reference standards are presented: one based on a clinical diagnosis of nerve root problems and excluding possible/inconclusive cases (referred to as a confirmatory reference), and the other being inclusive of possible/inconclusive cases (referred to as an indicative reference). RESULTS: Pain below knee was the best single item for diagnostic accuracy with an area under curve (AUC) of 0.67-0.68, which however is slightly less than the 'acceptable discrimination'. A cluster of three items, including distribution of pain below the knee, leg pain that is worse than back pain, and feeling of numbness or pins and needles in the leg, did improve discrimination to an 'acceptable' level with an AUC of 0.72-0.74 in relation to confirmatory and indicative references, respectively. However, the likelihood ratios from the models were reflective of a 'small' amount of discrimination. CONCLUSION: In this primary care population seeking treatment for LBP with or without leg pain, we found no clear set of self-report items that accurately identified patients with nerve root pain. When accurate case definition is important, clinical assessment should be the method of choice for identifying LBP with possible nerve root involvement.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s00586-012-2398-5

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The AUC values for SNORD115 (0.861), SNORD116 (0.886), and combined (0.947) exceeded the threshold of 0.8.

    “The values of AUC for SNORD115–0.861, as well as for SNORD116–0.886 exceeded the threshold, thus according to widely accepted classification within the range of “outstanding” (Konstantinou et al., 2012; Mandrekar, 2010).”

    From Small nucleolar RNAs in plasma extracellular vesicles and their discriminatory power as diagnostic biomarkers of Alzheimer's disease (2021) · cites this paper as Konstantinou et al., 2012

    The Methods (‘Performance of the diagnostic model’) classify AUC values from 0.8 to below 0.9 as ‘Excellent discrimination,’ not ‘Outstanding discrimination.’ The cited paper supports that 0.861 and 0.886 exceed 0.8, but contradicts the citing sentence’s classification of those values as outstanding. It does not report the SNORD results. (LLM, conf=0.90)

    Checked by a reasoning model — may be wrong.

    Experimental — accuracy not yet measured
  • SNORD115 and SNORD116 have high discriminatory power to differentiate AD samples from NC.

    “We applied ddPCR technique and identified SNORD115 and SNORD116 with a high discriminatory power to differentiate AD samples from NC.”

    From Small nucleolar RNAs in plasma extracellular vesicles and their discriminatory power as diagnostic biomarkers of Alzheimer's disease (2021) · cites this paper as Konstantinou et al., 2012

    The Methods (Data analysis) and Discussion concern self-reported symptoms used to identify nerve root involvement or sciatica, not RNA biomarkers. Searches for SNORD115, SNORD116, ddPCR, and Alzheimer’s disease found no passage addressing whether those markers distinguish AD samples from NC. (LLM, conf=0.78)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 23

  1. [1]Andersson GBJ, Pope MH, Frymoyer JW et al (1991) Epidemiology and cost. In: Pope MH, Andersson GBJ, Frymoyer JW et al (eds) Occupational low back pain: assessment, treatment and retention. Chicago, Mosby-Year Book, pp 95–113
  2. [4]Shaw WS Pransky G Fitzgerald TE Early prognosis for low back disability: intervention strategies for health care providers Disabil Rehabil 2001 23 815 828 10.1080/09638280110066280 11763278 · DOI
  3. [5]Fransen M, Woodward M, Norton R et al (2002) Risk factors associated with the transition from acute to chronic occupational back pain. Spine (Phila Pa 1976.) 27:92–98 11805644
  4. [6]Dunn KM Croft PR Epidemiology and natural history of low back pain Eura Medicophys 2004 40 9 13 16030488
  5. [7]Koes BW van Tulder MW Peul WC Diagnosis and treatment of sciatica BMJ 2007 334 1313 1317 10.1136/bmj.39223.428495.BE 17585160 PMC1895638 · DOI
  6. [8]Konstantinou K Dunn KM Sciatica: review of epidemiological studies and prevalence estimates Spine 2008 33 2464–72 07 18923325
  7. [9]Dionne CE Dunn KM Croft PR A consensus approach toward the standardization of back pain definitions for use in prevalence studies Spine 2008 33 95 103 10.1097/BRS.0b013e31815e7f94 18165754 · DOI
  8. [10]Riihimaki H Viikari-Juntura E Moneta G Incidence of sciatic pain among men in machine operating, dynamic physical work, and sedentary work. A three-year follow-up Spine 1994 19 138 142 10.1097/00007632-199401001-00003 8153819 · DOI
  9. [11]Smedley J Inskip H Cooper C Natural history of low back pain. A longitudinal study in nurses Spine 1998 23 2422 2426 10.1097/00007632-199811150-00012 9836356 · DOI
  10. [12]Miranda H Viikari-Juntura E Martikainen R Physical exercises and musculoskeletal pain among forest industry workers Scand J Med Sci Sports 2001 11 239 246 10.1034/j.1600-0838.2001.110408.x 11476430 · DOI
  11. [13]Palmer KT Griffin MJ Syddall HE The relative importance of whole body vibration and occupational lifting as risk factors for low-back pain Occup Environ Med 2003 60 715 721 10.1136/oem.60.10.715 14504358 PMC1740390 · DOI
  12. [14]Takeyachi Y Konno S Otani K Correlation of low back pain with functional status, general health perception, social participation, subjective happiness, and patient satisfaction Spine 2003 28 1461 1467 12838106
  13. [15]Deyo RA Tsui-Wu YJ Descriptive epidemiology of low back pain and its related medical care in the United States Spine 1987 12 264 268 10.1097/00007632-198704000-00013 2954221 · DOI
  14. [16]Fairbank JCT An archaic term BMJ 2007 335 112 10.1136/bmj.39275.951343.BE 17641309 PMC1925227 · DOI
  15. [17]Freynhagen R Rolke R Baron R Pseudoradicular and radicular low back pain-A disease continuum rather than different entities? Answers from quantitative sensory testing Pain 2008 135 65 74 10.1016/j.pain.2007.05.004 17570589 · DOI
  16. [18]Hay EM, Dunn KM, Hill JC, Lewis M, Mason EE, Konstantinou K et al (2008) A randomised clinical trial of subgrouping and targeted treatment for low back pain compared with best current care. The STarT Back Trial Study Protocol. BMC Musculoskelet Disord 22:58 PMC2377248 18430242
  17. [19]Haswell K Gilmour J Moore B Clinical decision rules for identification of low back pain patients with neurologic involvement in primary care Spine 2008 33 68 73 10.1097/BRS.0b013e31815e3949 18165751 · DOI
  18. [20]Borenstein DG, Wiesel SM, Boden SD (1995) Low back pain. Medical diagnosis and comprehensive management, 2nd edn. W.B. Saunders Company, USA
  19. [21]Hayden SR Brown MD Likelihood ratio: a powerful tool for incorporating the results of a diagnostic test into clinical decision making Ann Emerg Med 1999 33 575 580 10.1016/S0196-0644(99)70346-X 10216335 · DOI
  20. [22]Grimes DA Schulz KF Refining clinical diagnosis with likelihood ratios Lancet 2005 365 9469 1500 5105 10.1016/S0140-6736(05)66422-7 15850636 · DOI
  21. [23]Hosmer DW, Lemeshow S (2000). Applied logistic regression, 2nd ed. Wiley, pp 156–164
  22. [24]Vroomen PCAJ de Krom MCTFM Wilmink JT Diagnostic value of history and physical examination in patients suspected of lumbosacral nerve root compression J Neurol Neurosurg Psychiatry 2002 72 630 634 10.1136/jnnp.72.5.630 11971050 PMC1737860 · DOI · Paper page
  23. [25]van der Windt DA, Simons E, Riphagen II et al (2010) Physical examination for lumbar radiculopathy due to disc herniation in patients with low-back pain. Cochrane Database Syst Rev 2(2):CD007431 20166095

Cited by

Sorted by citations

Authors
Konstantinou, K., Lewis, M., & Dunn, K. M.
Affiliations
Arthritis Research UK (GB)
Corresponding author
Konstantinou, Kika
Venue
European Spine Journal
Published
2012-07-03
Volume
21
Issue
11
Pages
2306-2315
ISSN
  • 0940-6719 (ISSN-L)
  • 1432-0932
OpenAlex
W2019100322
Cited by
13
References
1
Citations by year
2025: 2 · 2024: 1 · 2023: 1 · 2021: 2 · 2020: 2 · 2019: 2 · 2018: 1 · 2016: 1 · 2014: 1
FWCI
0.24
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • European Spine Journal (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Keele Research Repository (Keele University) (submittedVersion, cc-by)
Funders
  • Wellcome Trust
  • National Institute for Health and Care Research (RP-PG-0707-10131)
Topics
  • Health Sciences › Medicine › Pharmacology › Musculoskeletal pain and rehabilitation
  • Health Sciences › Medicine › Pathology and Forensic Medicine › Spine and Intervertebral Disc Pathology
  • Health Sciences › Medicine › Physiology › Pain Mechanisms and Treatments
Keywords
nerve root involvement, sciatica, low back pain, self-reported symptoms, diagnostic accuracy, case definition, primary care, physical examination
MeSH terms
Adolescent, Adult, Aged, Aged, 80 and over, Female, Humans, Male, Middle Aged, Radiculopathy, Sciatica, Low Back Pain, Physical Therapy Modalities, Young Adult, Self Report

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review