Evidence map›Paper›PMID 33455584›Full record

ArticleBMC rheumatology2021

"An apple pie a day does not keep the doctor away": Fictional depictions of gout in contemporary film and television.

Christina Derksen, Rachel Murdoch, Keith J Petrie, Nicola Dalbeth

Abstract read
In one paragraph

Article in BMC rheumatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

4 citing papers in PubMed.

  1. Trial
  2. Article
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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

4 authors.

Christina Derksen *Health Psychology and Behavioral Medicine, Jacobs University Bremen, Bremen, Germany.
Rachel Murdoch *Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, 85 Park Rd, Grafton, Auckland, New Zealand.
Keith J PetrieDepartment of Psychological Medicine, University of Auckland, Auckland, New Zealand.
Nicola DalbethDepartment of Medicine, Faculty of Medical and Health Sciences, University of Auckland, 85 Park Rd, Grafton, Auckland, New Zealand. n.dalbeth@auckland.ac.nz.ORCID http://orcid.org/0000-0003-4632-4476

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFictional portrayals of illness and medical management in film and television can reflect and perpetuate cultural stereotypes about illness. The aim of this study was to analyse fictional depictions of gout in contemporary film and television.

methodsWe conducted a search for English language depictions of gout in film and television since 1990 using the Internet Movie Database (IMDb), other internet media databases, and member suggestions from the Gout, Hyperuricemia and Crystal-Associated Disease Network (G-CAN). Film and television episodes with gout content were analysed for depictions of characters with gout, causal factors, and management strategies (n=44).

resultsGout was used to denote royalty or nobility in historical settings, and as a plot device to explain the absence of characters from key events. The most commonly depicted causes of gout were overindulgence of food and alcohol (61%), and portrayals of biological causes were infrequent (12%). Common management strategies were change in diet (36%) and short-term pain relief (32%), with only one mention of urate-lowering therapy (5%). The majority of films and television episodes depicted gout as humorous (59%) and embarrassing (50%).

conclusionsIn contemporary film and television, gout is portrayed as a humorous and embarrassing condition, caused by dietary indulgence. These depictions may reinforce inaccurate beliefs about the causes of gout and its management.

Indexed as

ArthritisCommunications mediaGout

Identifiers

PMID33455584
PMCPMC7812654

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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.