Prognosis of low back-related leg pain patients with neuropathic pain: clinical course and prognostic factors

Physiotherapy ◽  
2019 ◽  
Vol 105 ◽  
pp. e10
Author(s):  
S.A. Harrisson ◽  
R. Ogollah ◽  
K.M. Dunn ◽  
N.E. Foster ◽  
K. Konstantinou
Physiotherapy ◽  
2019 ◽  
Vol 105 ◽  
pp. e9-e10
Author(s):  
S.A. Harrisson ◽  
O. Reuben ◽  
K.M. Dunn ◽  
N.E. Foster ◽  
K. Konstantinou

2020 ◽  
Vol 36 (11) ◽  
pp. 813-824
Author(s):  
Sarah A. Harrisson ◽  
Reuben Ogollah ◽  
Kate M. Dunn ◽  
Nadine E. Foster ◽  
Kika Konstantinou

BMJ Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. e033547 ◽  
Author(s):  
Jai Mistry ◽  
Deborah Falla ◽  
Tim Noblet ◽  
Nicola R Heneghan ◽  
Alison B Rushton

IntroductionNeuropathic low back-related leg pain (LBLP) can be a challenge to healthcare providers to diagnose and treat. Accurate diagnosis of neuropathic pain is fundamental to ensure appropriate intervention is given. However, to date there is no gold standard to diagnose neuropathic LBLP. A Delphi study will therefore be conducted to obtain an expert-derived consensus list of clinical indicators to identify a neuropathic component to LBLP.Methods/analysisIncluded participants will be considered experts within the field as measured against a predefined eligibility criterion. Through an iterative multistage process, participants will rate their agreement with a list of clinical indicators and suggest any missing clinical indicators during each round. Agreement will be measured using a 5-point Likert scale. Descriptive statistics will be used to measure agreement; median, IQR and percentage of agreement. A priori consensus criteria will be defined for each round. Data analysis at the end of round three will enable a list of clinical indicators to be derived.Ethics and disseminationEthical approval was gained from the University of Birmingham (ERN_19-1142). On completion of the study, findings will be disseminated in a peer-reviewed journal and presented at relevant conferences.


2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Jai Mistry ◽  
Deborah Falla ◽  
Tim Noblet ◽  
Nicola R. Heneghan ◽  
Alison Rushton

Abstract Background Neuropathic pain (NP) is common in patients presenting with low back related leg pain. Accurate diagnosis of NP is fundamental to ensure appropriate intervention. In the absence of a clear gold standard, expert opinion provides a useful methodology to progress research and clinical practice. The aim of this study was to achieve expert consensus on a list of clinical indicators to identify NP in low back related leg pain. Methods A modified Delphi method consisting of three rounds was designed in accordance with the Conducting and Reporting Delphi Studies recommendations. Recruitment involved contacting experts directly and through expressions of interest on social media. Experts were identified using pre-defined eligibility criteria. Priori consensus criteria were defined for each round through descriptive statistics. Following completion of round 3 a list of clinical indicators that achieved consensus were generated. Results Thirty-eight participants were recruited across 11 countries. Thirty-five participants completed round 1 (92.1%), 32 (84.2%) round 2 and 30 (78.9%) round 3. Round 1 identified consensus (Kendall’s W coefficient of concordance 0.456; p < 0.001) for 10 clinical indicators out of the original 14, and 9 additional indicators were added to round 2 following content analysis of qualitative data. Round 2 identified consensus (Kendall’s W coefficient of concordance 0.749; p < 0.001) for 10 clinical indicators out of 19, and 1 additional indicator was added to round 3. Round 3 identified consensus for 8 indicators (Kendall’s W coefficient of concordance 0.648; p < 0.001). Following completion of the third round, an expert derived consensus list of 8 items was generated. Two indicators; pain variously described a burning, electric shock like and/or shooting into leg and pain in association with other neurological symptoms (e.g. pins and needles, numbness, weakness), were found to have complete agreement amongst expert participants. Conclusions Good agreement was found for the consensus derived list of 8 clinical indicators to identify NP in low back related leg pain. This list of indicators provide some indication of the criteria upon which clinicians can identify a NP component to low back related leg pain; further research is needed for stronger recommendations to be made.


2020 ◽  
Vol 29 (8) ◽  
pp. 1879-1886
Author(s):  
Monica Zackova ◽  
Raffaele Aspide ◽  
Anita Braghittoni ◽  
Corrado Zenesini ◽  
Giorgio Palandri

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