Literature DB >> 22306456

Minimum data elements for research reports on CFS.

Leonard A Jason1, Elizabeth R Unger, Jordan D Dimitrakoff, Adam P Fagin, Michael Houghton, Dane B Cook, Gailen D Marshall, Nancy Klimas, Christopher Snell.   

Abstract

Chronic fatigue syndrome (CFS) is a debilitating condition that has received increasing attention from researchers in the past decade. However, it has become difficult to compare data collected in different laboratories due to the variability in basic information regarding descriptions of sampling methods, patient characteristics, and clinical assessments. The issue of variability in CFS research was recently highlighted at the NIH's 2011 State of the Knowledge of CFS meeting prompting researchers to consider the critical information that should be included in CFS research reports. To address this problem, we present our consensus on the minimum data elements that should be included in all CFS research reports, along with additional elements that are currently being evaluated in specific research studies that show promise as important patient descriptors for subgrouping of CFS. These recommendations are intended to improve the consistency of reported methods and the interpretability of reported results. Adherence to minimum standards and increased reporting consistency will allow for better comparisons among published CFS articles, provide guidance for future research and foster the generation of knowledge that can directly benefit the patient. Copyright Â
© 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22306456      PMCID: PMC4643273          DOI: 10.1016/j.bbi.2012.01.014

Source DB:  PubMed          Journal:  Brain Behav Immun        ISSN: 0889-1591            Impact factor:   7.217


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3.  Meta-analysis investigating post-exertional malaise between patients and controls.

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7.  Examining case definition criteria for chronic fatigue syndrome and myalgic encephalomyelitis.

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