Evidence map›Paper›PMID 34324412›Full record

ArticleAJOB neuroscience

Induced Pluripotent Stem Cell-Based Systems for Personalising Epilepsy Treatment: Research Ethics Challenges and New Insights for the Ethics of Personalised Medicine.

Mary Jean Walker, Jane Nielsen, Eliza Goddard, Alex Harris, Katrina Hutchison

Open access · greenAbstract read
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In one paragraph

Article in AJOB neuroscience. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 31% of its field
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

6 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 1 country.

Mary Jean WalkerLa Trobe University.
Jane NielsenARC Centre of Excellence for Electromaterials Science, University of Wollongong.
Eliza GoddardLa Trobe University.ORCID 0000-0002-4801-4183
Alex HarrisARC Centre of Excellence for Electromaterials Science, University of Wollongong.ORCID 0000-0002-5826-8777
Katrina HutchisonARC Centre of Excellence for Electromaterials Science, University of Wollongong.ORCID 0000-0002-5817-7488
La Trobe University · AUThe University of Melbourne · AUUniversity of Tasmania · AUUniversity of Wollongong · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ABSTRACTThis paper examines potential ethical and legal issues arising during the research, development and clinical use of a proposed strategy in personalized medicine (PM): using human induced pluripotent stem cell (iPSC)-derived tissue cultures as predictive models of individual patients to inform treatment decisions. We focus on epilepsy treatment as a likely early application of this strategy, for which early-stage stage research is underway. In relation to the research process, we examine issues associated with biological samples; data; health; vulnerable populations; neural organoids; and what level of accuracy justifies using the iPSC-derived neural tissue system. In relation to clinical use, we examine potential uses in pre-natal screening, and effects on clinical decision-making. Although our focus is providing recommendations for researchers developing work in this area, we identify the novel issue of deciding on an acceptable accuracy level for the system. We also emphasize an issue thus far neglected in the ethics of PM: PM tends to represent treatment decisions as though they should be directed solely by biomedical information, but this in itself could be detrimental to best personalizing treatment decisions in the clinic.

Indexed as

EpilepsyInduced Pluripotent Stem CellsEthics, ResearchHumansPrecision MedicineResearch Personnelepilepsygeneticsneurologyregulatory issuesResearch ethicsstem cell research

Identifiers

PMID34324412
OpenAlexW3185963775

What OpenQuestion holds

Textmetadata
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.