Evidence map›Paper›PMID 39764031›Full record

ArticlebioRxiv : the preprint server for biology2024

Computational Modeling of Effects of

Alessio Ostini, André G Kléber, Yoram Rudy, Jeffrey E Saffitz, Jan P Kucera

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Alessio Ostini
André G Kléber
Yoram Rudy
Jeffrey E Saffitz
Jan P Kucera

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients with arrhythmogenic cardiomyopathy (ACM) due to pathogenic variants in Methods: We used established computational models of ventricular cell electrophysiology to define the effects of varying levels of successful gene therapy on conduction in patients with Results: We observed a non-linear relationship between conduction velocity and the proportion of transduced cells. Conduction velocity increased only modestly when up to 40% of myocytes were transduced. Conduction block did not occur in tissue constructs with moderate levels of uncoupling (0.10 or 0.15 of normal) as this degree of coupling was sufficient to allow electrotonic current to pass through diseased cells. Thus, low levels of transduction, likely to occur in phase 1 clinical trials, do not appear to pose a major safety concern. However, our models did not incorporate potential effects of fibrosis and immune signaling, both of which will presumably be present in Conclusions: The extent of successful ventricular myocyte transduction anticipated to be achieved in What is Known: Patients with arrhythmogenic cardiomyopathy due to pathogenic variants in What the Study Adds: At anticipated levels of successful transduction of ventricular myocytes, little change in conduction velocity will be achieved in patients with arrhythmogenic cardiomyopathy due to variants in

Identifiers

PMID39764031
PMCPMC11702725

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.