Evidence map›Paper›PMID 23570606›Full record

ArticleJournal of translational medicine2013

Daily cytokine fluctuations, driven by leptin, are associated with fatigue severity in chronic fatigue syndrome: evidence of inflammatory pathology.

Elizabeth Ann Stringer, Katharine Susanne Baker, Ian R Carroll, Jose G Montoya, Lily Chu, Holden T Maecker, Jarred W Younger

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03692611 (Evaluation of the Efficacy and Mechanisms of a Novel Intervention for Chronic Pain Tailored to People Living With HIV), which is not on this map. Cited by 48 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 4 pooled it
5.7field-weighted citation impact, top 3% 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.

NCT03692611 nacompletednot on this mapstarted 2019, after this paper: background citation

Evaluation of the Efficacy and Mechanisms of a Novel Intervention for Chronic Pain Tailored to People Living With HIV

TypeinterventionalSponsorUniversity of PittsburghRan2019 to 2025Enrolled278ConditionsChronic PainArmsSkills TO Manage Pain (STOMP), Comparison group
3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 4 syntheses or guidelines pooled it, 84 citations in OpenAlex.

  1. Pooled it
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  6. Review
  7. Frontiers in nutrition · 2026
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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

7 authors at 2 institutions in 1 country.

Elizabeth Ann StringerDepartment of Anesthesiology, Stanford University School of Medicine, Stanford, CA 94304, USA.
Katharine Susanne Baker
Ian R Carroll
Jose G Montoya
Lily Chu
Holden T Maecker
Jarred W Younger
Stanford University · USArista (United States) · US

Funding

Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
Stanford Center for Clinical and Translational Education and Research (SCCTER)UL1UL1RR025744 · NCRR · STANFORD UNIVERSITY · PI GREENBERG, HARRY BERNARD · 2008 to 2011
$22.4M
NCATS NIH HHS UL1 TR001085NCRR NIH HHS 1UL1 RR025744NCRR NIH HHS UL1 RR025744
6 · The paper itself

Abstract

backgroundChronic fatigue syndrome (CFS) is a debilitating disorder characterized by persistent fatigue that is not alleviated by rest. The lack of a clearly identified underlying mechanism has hindered the development of effective treatments. Studies have demonstrated elevated levels of inflammatory factors in patients with CFS, but findings are contradictory across studies and no biomarkers have been consistently supported. Single time-point approaches potentially overlook important features of CFS, such as fluctuations in fatigue severity. We have observed that individuals with CFS demonstrate significant day-to-day variability in their fatigue severity.

methodsTherefore, to complement previous studies, we implemented a novel longitudinal study design to investigate the role of cytokines in CFS pathophysiology. Ten women meeting the Fukuda diagnostic criteria for CFS and ten healthy age- and body mass index (BMI)-matched women underwent 25 consecutive days of blood draws and self-reporting of symptom severity. A 51-plex cytokine panel via Luminex was performed for each of the 500 serum samples collected. Our primary hypothesis was that daily fatigue severity would be significantly correlated with the inflammatory adipokine leptin, in the women with CFS and not in the healthy control women. As a post-hoc analysis, a machine learning algorithm using all 51 cytokines was implemented to determine whether immune factors could distinguish high from low fatigue days.

resultsSelf-reported fatigue severity was significantly correlated with leptin levels in six of the participants with CFS and one healthy control, supporting our primary hypothesis. The machine learning algorithm distinguished high from low fatigue days in the CFS group with 78.3% accuracy.

conclusionsOur results support the role of cytokines in the pathophysiology of CFS.

Indexed as

AdultAlgorithmsBiomarkersBody Mass IndexCase-Control StudiesCytokinesFatigueFatigue Syndrome, ChronicFemaleHumansInflammationLeptinLongitudinal StudiesMiddle AgedReproducibility of ResultsTreatment OutcomeBiomarkersCytokinesLeptin

Identifiers

PMID23570606
PMCPMC3637529
OpenAlexW2106962555

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.