Evidence map›Paper›PMID 34873516›Full record

ArticleCureus2021

Is Shoulder Pain and Disability Index a Prognostic Factor for Neuropathic Shoulder Pain?

Sotiria D Vrouva, Varvara K Sopidou, Konstantinos P Chanopoulos, Daphne F Bakalidou, Vasileios C Papatsimpas, Nikolaos Sorras, Miltiades C Ziogas, George A Koumantakis

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 30% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Trial
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

8 authors at 2 institutions in 1 country.

Sotiria D VrouvaPhysical Therapy/Pain Management, 401 General Army Hospital of Athens, Athens, GRC.
Varvara K SopidouDepartment of Biomedical Sciences, Faculty of Health and Caring Professions University of West Attica, Athens, GRC.
Konstantinos P ChanopoulosComputational of Mathematics and Decision Making, 401 Army General Hospital of Athens, Athens, GRC.
Daphne F BakalidouLaboratory of Neuromuscular and Cardiovascular Study of Motion (LANECASM) Physiotherapy Department, Faculty of Health and Care Sciences, University of West Attica, Athens, GRC.
Vasileios C PapatsimpasLaboratory of Neuromuscular and Cardiovascular Study of Motion (LANECASM) Physiotherapy Department, Faculty of Health and Care Sciences, University of West Attica, Athens, GRC.
Nikolaos SorrasPain Management, 401 Army General Hospital of Athens, Athens, GRC.
Miltiades C Ziogas1st Department of Orthopedics, 401 Army General Hospital of Athens, Athens, GRC.
George A KoumantakisPhysiotherapy Department, School of Health and Care Sciences, University of West Attica, Athens, GRC.
University of West Attica · GR401 General Military Hospital of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction So far, investigations in patients with rotator cuff diseases have used pain measurement tools such as visual analog scale (VAS) for nociceptive pain as well as neuropathic pain (NeuP) specialized ones like Douleur Neuropathique 4 Question (DN4) and Pain Detect. The study's goal was to look at the existence of NeuP in patients with chronic shoulder pain, as well as variables that may be predictive of its progression. Methods There were 112 outpatients in all. Current and previous pain intensity levels were documented with the numerical rating scale (NRS), the Shoulder Pain and Disability Index (SPADI) was used to assess pain and disability levels, and the S-LANSS (self-completed Leeds Assessment of Neuropathic Symptoms and Signs Pain Scale) was used to diagnose NeuP. The Pearson Chi-Square test was employed to check for any relationships between variables. The Mann-Whitney U test was also employed to check for between-group differences (with or without NeuP). To investigate factors that may be utilized as a prognostic for NeuP, logistic regression was performed, with those components (from the univariate analysis) that were statistically significant being included. Results According to the S-LANSS questionnaire for NeuP diagnosis, 21 patients had NeuP. According to S-LANSS, chi-square test findings revealed that NeuP is independent of sex, smoking, size, and location or rotator cuff tear. Univariate analysis with Mann-Whitney U test revealed statistically significant differences in SPADI and NRS scores between the two patient groups (p < 0.001). Α multivariate analysis using S-LANSS as the binary dependent variable and NRS currently, NRS average last month and SPADI total score as independent variables (with statistical significance) revealed that total SPADI score may be considered as an independent prognostic factor for NeuP (odds ratio = 1.189, p < 0.001). Limitations Due to the limited number of patients who participated in the study, the findings were deemed insufficient in terms of statistical power. In particular, the power analysis of the study (type I error probability being [a] = .05) was less than 80% (for the total SPADI score), hence relatively small. As a result, there is a limited probability of a type I error. Conclusions Using S-LANSS, we discovered that 18.8% of patients with rotator cuff tears had NeuP. The SPADI scores (pain and disability) in the NeuP group were substantially greater than in the nociceptive pain group. As previous studies have suggested utilizing certain levels of the VAS for pain assessment and specialized questionnaires for NeuP evaluation, we recommend that SPADI be included as a tool for emphasizing the neuropathic features of shoulder pain.

Indexed as

disabilityneuropathic painrotator cuffshoulderspadi

Identifiers

PMID34873516
PMCPMC8636184
OpenAlexW3210812179

What OpenQuestion holds

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LicenceCC BY
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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.