Evidence map›Paper›PMID 39557619›Full record

ArticleThe Journal of physiology2026

Prospective in silico trials identify combined SK and K

Albert Dasí, Lucas Arantes Berg, Hector Martinez-Navarro, Alfonso Bueno-Orovio, Blanca Rodriguez

Abstract read
In one paragraph

Article in The Journal of physiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

5 authors.

Albert DasíDepartment of Computer Science, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0002-8649-8203
Lucas Arantes BergDepartment of Computer Science, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0002-8777-0125
Hector Martinez-NavarroDepartment of Computer Science, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0003-0234-2605
Alfonso Bueno-OrovioDepartment of Computer Science, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0002-1634-3601
Blanca RodriguezDepartment of Computer Science, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0001-6361-3339

Funding

BHF Centre of Research Excellence, Oxford (BHF Centre of Research Excellence in Oxford) RE/13/1/30 181EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 675 451EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 823 712RCUK | Engineering and Physical Science Research Council (ESPRC) EP/X019446/1RCUK | Engineering and Physical Science Research Council (ESPRC) EP/X525777/1Wellcome Trust (Wellcome) 214 290/Z/18/Z
6 · The paper itself

Abstract

Virtual evaluation of medical therapy through human-based modelling and simulation can accelerate and augment clinical investigations. Treatment of the most common cardiac arrhythmia, atrial fibrillation (AF), requires novel approaches. This study prospectively evaluates and mechanistically explains three novel pharmacological therapies for AF through in silico trials, including single and combined SK and K

Indexed as

Anti-Arrhythmia AgentsAtrial FibrillationPotassium Channel BlockersPotassium Channels, Tandem Pore DomainSmall-Conductance Calcium-Activated Potassium ChannelsComputer SimulationFemaleHumansMaleProspective StudiesAnti-Arrhythmia AgentsPotassium Channel BlockersPotassium Channels, Tandem Pore DomainSmall-Conductance Calcium-Activated Potassium Channelsatrial fibrillationin silico trialsK2P channelspharmacological therapySK channelsvirtual patients

Identifiers

PMID39557619
PMCPMC13327755

What Socratic 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 Socratic graph.