Evidence map›Paper›PMID 41343897›Full record

ArticleSocial science & medicine (1982)2026

Promises past and future - Gene therapy and the actualisation of future expectations.

Eva Hilberg, Aleksandra Stelmach, Tineke Kleinhout-Vliek, Paul Martin

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2026. 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

4 authors.

Eva HilbergThe University of Sheffield, Western Bank, Sheffield, S10 2TN, UK. Electronic address: e.hilberg@sheffield.ac.uk.
Aleksandra StelmachUniversity of Exeter, Prince of Wales Road, Exeter, EX4 4SB, UK.
Tineke Kleinhout-VliekUniversity College Dublin, Belfield, Dublin 4, D04 C1P1, Ireland.
Paul MartinThe University of Sheffield, Western Bank, Sheffield, S10 2TN, UK.

Funding

Wellcome Trust 219875
6 · The paper itself

Abstract

The advent of gene therapies such as Zolgensma, Libmeldy, and Luxturna has given rise to new treatment options for several rare conditions, drastically changing the expectations of affected patients. It has also significantly influenced hopes of medical treatment in general, with an emerging vision of widespread targeted personalised treatment of increasingly segmented conditions. Looking at a newspaper sample from the latest wave of developments in the field (from January 01, 2020 until April 30, 2023), our analysis of current media coverage however finds that this narrative of paradigmatic change operates mostly without regard to the present and its challenges, such as the prohibitive price tag of these treatments and unresolved questions about their accessibility and long-term effects. Drawing on expectations raised in the context of the completion of the Human Genome Project in 2000, the article compares these to current hopes of gene therapy's safety and effectiveness; profitability; and accessibility. Areas of tension are then interpreted as a guide to an emerging 'real-life' understanding of gene therapy's promise, which is, however, mostly visible in discussions of problems with gene therapy's accessibility. Similarly marginalised issues include for instance assumptions of effectiveness that do not acknowledge the long-term uncertainty of treatment outcomes; and assumptions of profitability that run counter to real-life examples of business failure. As a revolutionary future becomes reality for some patients, such questions are becoming harder to ignore - but are crucially often omitted from discussion about projected change.

Indexed as

Genetic TherapyForecastingHumans

Identifiers

PMID41343897
PMCPMC7618550

What OpenQuestion holds

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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.