ArticleChronic illness2018
A content analysis of chronic fatigue syndrome and myalgic encephalomyelitis in the news from 1987 to 2013.
Article in Chronic illness, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Why the Psychosomatic View on Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Is Inconsistent with Current Evidence and Harmful to Patients.Medicina (Kaunas, Lithuania) · 2023Article
- Review of case definitions for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS).Journal of translational medicine · 2020Review
- Suicidal ideation in non-depressed individuals: The effects of a chronic, misunderstood illness.Journal of health psychologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Objectives The aim of this study was to analyze the content of American newspaper articles ( n=214) from 1987 to 2013, in order to understand how the public digests information related to Chronic Fatigue syndrome, a controversial and misunderstood illness. Methods A novel codebook derived from the scientific literature was applied to 214 newspaper articles collected from Lexis Nexis Academic®. These articles were coded quantitatively and frequency tables were created to delineate the variables as they appeared in the articles. Results The etiology was portrayed as organic in 64.5% ( n=138) of the articles, and there was no mention of case definitions or diagnostic criteria in 56.1% ( n=120) of the articles. The most common comorbidity was depression, appearing in 22.9% ( n=49) of the articles. In 55.6% ( n=119) of the articles, there was no mention of prevalence rates. In 50.9% ( n=109) of the articles, there was no mention of any form of treatment for the illness. A total of 19.4% ( n=42) of the headlines mislabeled the name of the illness. Discussion Based on descriptive statistics of all 214 coded articles, media communicated mixed messages for salient variables such as the name of the illness, its etiology and treatment.
Indexed as
Identifiers
What OpenQuestion holds
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.