Evidence map›Paper›PMID 39117422›Full record

ArticleMedical humanities2025

Chronic challenges: picturing chronic disease by the World Health Organization.

Alexander Medcalf, Karl Atkin

Abstract read
In one paragraph

Article in Medical humanities, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Alexander MedcalfHistory, University of York, York, UK alexander.medcalf@york.ac.uk.ORCID http://orcid.org/0000-0002-8498-5075
Karl AtkinSociology, University of York, York, UK.ORCID http://orcid.org/0000-0003-1070-8670

Funding

Wellcome Trust
6 · The paper itself

Abstract

Chronic diseases are among the leading causes of mortality in the world, the subject of major regional and international efforts to tackle shared risk factors, implement prevention and control measures and set national targets as part of the drive towards universal health coverage. Yet there is a growing conviction that chronic diseases suffer an image problem. It has been suggested that the terminology 'dulls the senses' to the problems, and in an age where the mass media affords unprecedented opportunities to inform and persuade people to care about their health and that of others, chronic disease representation remains a contested and much debated issue.This article investigates how WHO created and disseminated visual narratives to raise popular consciousness and build a visual vocabulary around chronic disease in the second half of the 20th century. It examines the measures taken to conceptualise, photograph and publicise chronic diseases, and considers who had control over their representation. In focussing predominantly on cancer, diabetes and cardiovascular disease, it reveals different narratives; the power of scientific and technological progress; individual and community action for health; promising utopian and parallel dystopian visions. It embeds these in a production context which reveals an intricate picturing process involving overcoming challenges of representation. It uses this historical background to discuss issues relating to how chronic disease and chronic pain have been narrated visually, such as the ideas of emotional response, moral failure, how people navigate the 'risk society' and ultimately the concerns regarding the intentional and unintentional influence that the media can have on the image of disease given to society.

Indexed as

NarrationWorld Health OrganizationChronic DiseaseHumansMass MediaNeoplasmshistorymedical humanitiespopular media

Identifiers

PMID39117422
PMCPMC11877097

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.