Evidence map›Paper›PMID 27257392›Full record

ArticleJournal of pain research2016

Identifying the symptom and functional domains in patients with fibromyalgia: results of a cross-sectional Internet-based survey in Italy.

Fausto Salaffi, Flavio Mozzani, Antonella Draghessi, Fabiola Atzeni, Rosita Catellani, Alessandro Ciapetti, Marco Di Carlo, Piercarlo Sarzi-Puttini

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Journal of pain research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03347669 (A Pilot Study of Small Fiber Neuropathy Prevalence in Fibromyalgia Patients Compared to Healthy Subjects Using Sudoscan®), which is not on this map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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.

NCT03347669 naunknown statusnot on this mapstarted 2017, after this paper: background citation

A Pilot Study of Small Fiber Neuropathy Prevalence in Fibromyalgia Patients Compared to Healthy Subjects Using Sudoscan®

TypeinterventionalSponsorUniversity Hospital, Clermont-FerrandRan2017 to 2018Enrolled100ConditionsFibromyalgiaArmsSudoscan®
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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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

8 authors at 5 institutions in 2 countries.

Fausto SalaffiRheumatology Department, Polytechnic University of Marche, Jesi (Ancona), Parma, Italy.
Flavio MozzaniDepartment of Internal Medicine and Rheumatology, University Hospital of Parma, Parma, Italy.
Antonella DraghessiRheumatology Department, Polytechnic University of Marche, Jesi (Ancona), Parma, Italy.
Fabiola AtzeniIRCCS Galeazzi Orthopedic Department, Milan, Italy.
Rosita CatellaniDepartment of Internal Medicine and Rheumatology, University Hospital of Parma, Parma, Italy.
Alessandro CiapettiRheumatology Department, Betsi Cadwaladr University Health Board, Glan Clwyd Hospital, Bodelwyddan, Denbighshire, Wales, Italy.
Marco Di CarloRheumatology Department, Polytechnic University of Marche, Jesi (Ancona), Parma, Italy.
Piercarlo Sarzi-PuttiniRheumatology Department, L. Sacco University Hospital, Milan, Italy.
Marche Polytechnic University · ITUniversity of Parma · ITGlan Clwyd Hospital · GBIstituto Ortopedico Galeazzi · ITLuigi Sacco Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aims of this cross-sectional study were to investigate the usefulness of using an Internet survey of patients with fibromyalgia in order to obtain information concerning symptoms and functionality and identify clusters of clinical features that can distinguish patient subsets.

methodsAn Internet website has been used to collect data. Fibromyalgia Impact Questionnaire Revised version, self-administered Fibromyalgia Activity Score, and Self-Administered Pain Scale were used as questionnaires. Hierarchical agglomerative clustering was applied to the data obtained in order to identify symptoms and functional-based subgroups.

resultsThree hundred and fifty-three patients completed the study (85.3% women). The highest scored items were those related to sleep quality, fatigue/energy, pain, stiffness, degree of tenderness, balance problems, and environmental sensitivity. A high proportion of patients reported pain in the neck (81.4%), upper back (70.1%), and lower back (83.2%). A three-cluster solution best fitted the data. The variables were significantly different (P<0.0001) among the three clusters: cluster 1 (117 patients) reflected the lowest average scores across all symptoms, cluster 3 (116 patients) the highest scores, and cluster 2 (120 patients) captured moderate symptom levels, with low depression and anxiety.

conclusionThree subgroups of fibromyalgia samples in a large cohort of patients have been identified by using an Internet survey. This approach could provide rationale to support the study of individualized clinical evaluation and may be used to identify optimal treatment strategies.

Indexed as

cluster analysisFASfibromyalgiaFIQRInternetpainSAPS

Identifiers

PMID27257392
PMCPMC4874639
OpenAlexW2373374411

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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.