Evidence map›Paper›PMID 35263811›Full record

ArticleEuropean journal of pain (London, England)2022

Unique features of central neuropathic pain in multiple sclerosis: Results of a cluster analysis.

Michal Rivel, Anat Achiron, Mark Dolev, Yael Stern, Gabi Zeilig, Ruth Defrin

Open access · hybridAbstract read
In one paragraph

Article in European journal of pain (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
  2. Observational
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  4. Review
  5. Article
  6. Article
  7. Central neuropathic pain.Nature reviews. Disease primers · 2023
    Review
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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

6 authors at 3 institutions in 1 country.

Michal RivelDepartment of Physical Therapy, School of Health Professions, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv-Yafo, Israel.
Anat AchironSagol School of Neuroscience, Tel Aviv University, Tel Aviv-Yafo, Israel.
Mark DolevMultiple Sclerosis Center, Sheba Medical Center, Tel Hashomer, Israel.
Yael SternMultiple Sclerosis Center, Sheba Medical Center, Tel Hashomer, Israel.
Gabi ZeiligSackler Faculty of Medicine, Tel Aviv University, Tel Aviv-Yafo, Israel.
Ruth DefrinDepartment of Physical Therapy, School of Health Professions, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv-Yafo, Israel.
Sheba Medical Center · ILTel Aviv University · ILAcademic College of Tel Aviv-Yafo · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCentral neuropathic pain (CNP) is an excruciating condition, prevalent in up to a third of patients with multiple sclerosis (MS). Identifying CNP among MS patients is particularly challenging considering the ample comorbid chronic pain conditions and sensory disturbances entailed by the disease. The aim was to identify sensory features unique to CNP beyond those of chronic pain and MS.

methodsParticipants were 112 MS patients: 44 with a diagnosis of CNP, 28 with a diagnosis of chronic musculoskeletal pain (MSP), and 40 pain free. Participants underwent testing of thermal and mechanical thresholds, thermal grill illusion (TGI), pain adaptation (PA), and offset analgesia (OA), and chronic pain was characterized. A two-step cluster analysis was performed, and the association between the cluster membership and the clinical group membership (CNP, MSP, pain free) was evaluated.

resultsThe CNP and MSP groups were similar in most of the chronic pain variables (e.g., severity, location and quality) and MS-related variables (e.g., type, severity and medication intake). The three created clusters had unique sensory features: (1) 'Hyposensitivity' (increased thermal and touch thresholds) characterized the CNP group; (2) 'Poor inhibition and hyperalgesia' (worst PA and OA and decreased TGI threshold) characterized the MSP group; and (3) 'Efficient inhibition' (best PA and OA, smallest sensory loss) characterized the pain-free group.

conclusionsThe unique sensory features of CNP and MSP provide insight into their pathophysiology, and evaluating them may increase the ability to provide individually based interventions. Efficient inhibition may protect MS patients from chronic pain. SIGNIFICANCE: Cluster analysis among patients with multiple sclerosis (MS) revealed that while central neuropathic pain is associated with thermal and mechanical hypoesthesia, musculoskeletal pain is involved with reduced pain inhibition and hyperalgesia; sensory profiles that provide insights into the mechanisms of these conditions and may promote an individually based pain management.

Indexed as

Chronic PainIllusionsMultiple SclerosisMusculoskeletal PainNeuralgiaCluster AnalysisHumansHyperalgesiaPain MeasurementPain Threshold

Identifiers

PMID35263811
PMCPMC9313873
OpenAlexW4220796027

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.