Evidence map›Paper›PMID 26973437›Full record

ArticlePopulation health metrics2016

Methods of applying the 1994 case definition of chronic fatigue syndrome - impact on classification and observed illness characteristics.

E R Unger, J-M S Lin, H Tian, B M Gurbaxani, R S Boneva, J F Jones

Abstract read
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Article in Population health metrics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

E R Unger *Division of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infections, Centers for Disease Control and Prevention, 1600 Clifton Road, MS G41, Atlanta, GA 30329 USA.
J-M S Lin *Division of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infections, Centers for Disease Control and Prevention, 1600 Clifton Road, MS G41, Atlanta, GA 30329 USA.
H TianDivision of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infections, Centers for Disease Control and Prevention, 1600 Clifton Road, MS G41, Atlanta, GA 30329 USA.
B M GurbaxaniDivision of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infections, Centers for Disease Control and Prevention, 1600 Clifton Road, MS G41, Atlanta, GA 30329 USA.
R S BonevaDivision of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infections, Centers for Disease Control and Prevention, 1600 Clifton Road, MS G41, Atlanta, GA 30329 USA.
J F JonesDivision of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infections, Centers for Disease Control and Prevention, 1600 Clifton Road, MS G41, Atlanta, GA 30329 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple case definitions are in use to identify chronic fatigue syndrome (CFS). Even when using the same definition, methods used to apply definitional criteria may affect results. The Centers for Disease Control and Prevention (CDC) conducted two population-based studies estimating CFS prevalence using the 1994 case definition; one relied on direct questions for criteria of fatigue, functional impairment and symptoms (1997 Wichita; Method 1), and the other used subscale score thresholds of standardized questionnaires for criteria (2004 Georgia; Method 2). Compared to previous reports the 2004 CFS prevalence estimate was higher, raising questions about whether changes in the method of operationalizing affected this and illness characteristics.

methodsThe follow-up of the Georgia cohort allowed direct comparison of both methods of applying the 1994 case definition. Of 1961 participants (53 % of eligible) who completed the detailed telephone interview, 919 (47 %) were eligible for and 751 (81 %) underwent clinical evaluation including medical/psychiatric evaluations. Data from the 499 individuals with complete data and without exclusionary conditions was available for this analysis.

resultsA total of 86 participants were classified as CFS by one or both methods; 44 cases identified by both methods, 15 only identified by Method 1, and 27 only identified by Method 2 (Kappa 0.63; 95 % confidence interval [CI]: 0.53, 0.73 and concordance 91.59 %). The CFS group identified by both methods were more fatigued, had worse functioning, and more symptoms than those identified by only one method. Moderate to severe depression was noted in only one individual who was classified as CFS by both methods. When comparing the CFS groups identified by only one method, those only identified by Method 2 were either similar to or more severely affected in fatigue, function, and symptoms than those only identified by Method 1.

conclusionsThe two methods demonstrated substantial concordance. While Method 2 classified more participants as CFS, there was no indication that they were less severely ill or more depressed. The classification differences do not fully explain the prevalence increase noted in the 2004 Georgia study. Use of standardized instruments for the major CFS domains provides advantages for disease stratification and comparing CFS patients to other illnesses.

Indexed as

Case definitionChronic fatigue syndromeSurveillance methods

Identifiers

PMID26973437
PMCPMC4788915

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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.