Evidence map›Paper›PMID 33716572›Full record

ArticleScience as culture2020

Marketing Experimental Stem Cell Therapies in the UK: Biomedical Lifestyle Products and the Promise of Regenerative Medicine in the Digital Era.

Sonja Erikainen, Anna Couturier, Sarah Chan

Abstract read
In one paragraph

Article in Science as culture, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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.

Sonja ErikainenUsher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-1442-3050
Anna CouturierEuroStemCell, Scottish Centre for Regenerative Medicine, University of Edinburgh, Edinburgh, UK.
Sarah ChanUsher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-0653-6741

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stem cell research has attracted much public and biomedical anticipation centred on the possibility of using stem cells to treat various diseases and conditions, but the number of evidence-based therapies is currently limited. Numerous commercial direct-to-consumer (DTC) businesses are nonetheless marketing experimental stem cell therapies online for myriad medical conditions and aesthetic ailments, which has attracted critique due to safety and efficacy concerns. Existing research has largely focused on the problem of unproven therapies and regulatory pathways for addressing it. The proliferation of these experimental products must also be examined, however, in the broader socio-technological context of consumer culture and changing practices of knowledge-making in the digital era. DTC stem cell therapies have emerged as a new biomedical 'lifestyle' product that blurs the boundaries between 'science,' 'medicine,' and 'consumer culture.' In using, conceptualising and marketing stem cells, commercial businesses build on and commercially co-opt alternative epistemic and ontological frames that challenge scientific medicine. They advance promissory narratives about their potential that tap on cultural aspirations around the future of medicine and health. This is key, not only for understanding how and why these therapies have proliferated but also in conceptualising what the 'problem' around them actually is.

Indexed as

digital eradirect-to-consumerexperimental therapiesStem cells

Identifiers

PMID33716572
PMCPMC7905833

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.