Evidence map›Paper›PMID 29253551›Full record

ArticleThe journal of pain2018

Pain and Fatigue Variability Patterns Distinguish Subgroups of Fibromyalgia Patients.

Emily J Bartley, Michael E Robinson, Roland Staud

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PubMed Full text at PMC Publisher
In one paragraph

Article in The journal of pain, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 5 pooled it
–field-weighted citation impact
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

43 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  3. Tactile Detection in Fibromyalgia: A Systematic Review and a Meta-Analysis.Frontiers in pain research (Lausanne, Switzerland) · 2021
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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

3 authors.

Emily J BartleyDepartment of Community Dentistry and Behavioral Science, University of Florida, Gainesville, Florida; Pain Research & Intervention Center of Excellence (PRICE), University of Florida, Gainesville, Florida. Electronic address: EBartley@dental.ufl.edu.
Michael E RobinsonPain Research & Intervention Center of Excellence (PRICE), University of Florida, Gainesville, Florida; Department of Clinical and Health Psychology, University of Florida, Gainesville, Florida; Center for Pain Research and Behavioral Health, University of Florida, Gainesville, Florida.
Roland StaudPain Research & Intervention Center of Excellence (PRICE), University of Florida, Gainesville, Florida; Department of Medicine, University of Florida, Gainesville, Florida.

Funding

Peripheral and Central Mechanisms of Fatigue and Pain in Patients with ME/CFSR01NR014049 · NINR · UNIVERSITY OF FLORIDA · PI STAUD, ROLAND · 2012 to 2016
$1.8M
Adaptability and Resilience in Aging Adults (ARIAA)K99AG052642 · NIA · UNIVERSITY OF FLORIDA · PI BARTLEY, EMILY J. · 2016 to 2017
$233k
NIA NIH HHS K99 AG052642NINR NIH HHS R01 NR014049
6 · The paper itself

Abstract

The current study examined between- and within-subject variability in pain-related symptoms as predictors of pain and fatigue, and identified patient subgroups on the basis of symptom variability characteristics. Two hundred fifty-six fibromyalgia (FM) patients completed daily diaries up to a period of 154 days and reported on symptoms of pain intensity, pain unpleasantness, fatigue, anxiety, and depressed mood. Measures of health status, quality of life, and somatic symptoms were obtained at baseline, and hierarchical linear modeling and cluster analyses were used. Significant intra- and interindividual variability in daily FM symptoms was observed. Higher levels of pain were associated with greater fluctuations in pain unpleasantness, fatigue, and depressed mood. Similar effects were observed for fatigue and individual variability in anxiety also emerged as a robust predictor. Three FM subgroups were revealed: low variability in symptoms (cluster 1), high symptom variability (cluster 2), and a mixed variability group characterized by low fluctuation in pain unpleasantness; moderate pain, fatigue, and depressed mood variability; and high anxiety variability (cluster 3). Cluster 3 exhibited lower social functioning and higher levels of pain, compared with cluster 1. These findings support the dynamic nature of FM pain and suggest the presence of FM subgroups on the basis of variation in mood and pain symptomatology. PERSPECTIVE: FM patients show significant intra- and interindividual variability in pain, mood, and fatigue. Subgroups in mood and pain-related variability emerged, with phenotypic clusters differing across levels of pain intensity and social functioning. Better understanding of the processes affecting pain variability may facilitate targeted treatments for the control of pain.

Indexed as

AdultCluster AnalysisFatigueFemaleFibromyalgiaHumansIndividualityLinear ModelsMaleMiddle AgedMood DisordersPainPain MeasurementSeverity of Illness IndexSurveys and QuestionnairesanxietydepressionfatigueFibromyalgiamoodpainvariability

Identifiers

PMID29253551
PMCPMC5869098

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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.