Evidence map›Paper›PMID 27088057›Full record

ArticleFatigue : biomedicine, health & behavior

Variability in Symptoms Complicates Utility of Case Definitions.

Stephanie L McManimen, Leonard A Jason, Yolonda J Williams

Open access · greenAbstract read
In one paragraph

Article in Fatigue : biomedicine, health & behavior. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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.

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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 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

3 authors at 1 institution in 1 country.

Stephanie L McManimenCenter for Community Research, DePaul University, Chicago, IL USA.
Leonard A JasonCenter for Community Research, DePaul University, Chicago, IL USA.
Yolonda J WilliamsCenter for Community Research, DePaul University, Chicago, IL USA.
DePaul University · US

Funding

A prospective study of CFS following infectious mononucleosis in college studentsR01AI105781 · NIAID · LURIE CHILDREN'S HOSPITAL OF CHICAGO · PI JASON, LEONARD A, KATZ, BEN Z. · 2014 to 2018
$3.4M
Pediatric CFS in a Community-Based SampleR01HD072208 · NICHD · DE PAUL UNIVERSITY · PI JASON, LEONARD A · 2013 to 2017
$2.0M
NIAID NIH HHS R01 AI105781NICHD NIH HHS R01 HD072208
6 · The paper itself

Abstract

backgroundAmbiguities in case definitions have created difficulties in replicating findings and estimating the prevalence rates for chronic fatigue syndrome (CFS) and Myalgic Encephalomyelitis (ME). PURPOSE: The current study examined differences in occurrence rates for CFS and ME cardinal symptoms (i.e. post-exertional malaise, unrefreshing sleep, and neurocognitive deficits).

resultsFindings indicated that there is a wide range of occurrence rates on critical symptoms of the case definition, suggesting that either the types of patients recruited differ in various settings or the questions assessing core symptoms vary in their wording or criteria among different researchers.

conclusionsThe polythetic nature of the case definition may contribute to the wide ranges of symptom occurrence that was found. In order to increase assessed reliability of the symptoms and case definitions, there is a need to better standardize data collection methods and operationalization of symptoms. This solution would reduce the heterogeneity often seen in populations of CFS patients.

Indexed as

chronic fatigue syndromemyalgic encephalomyelitisoperationalizationsymptom occurrence

Identifiers

PMID27088057
PMCPMC4831632
OpenAlexW1806162283

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.