Evidence map›Paper›PMID 29161764›Full record

ArticleBritish journal of pharmacology2018

Mechanism of doxorubicin cardiotoxicity evaluated by integrating multiple molecular effects into a biophysical model.

M Fernandez-Chas, M J Curtis, S A Niederer

Open access · bronzeAbstract read
In one paragraph

Article in British journal of pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.0field-weighted citation impact, top 7% 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

27 citing papers in PubMed, 52 citations in OpenAlex.

  1. A Computational Model of Oxidative Stress in a Human Ventricular Myocyte.bioRxiv : the preprint server for biology · 2026
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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

3 authors at 1 institution in 1 country.

M Fernandez-ChasDivision of Imaging Sciences and Biomedical Engineering (MF, SAN) and Cardiovascular Division (MJC), King's College London, London, UK.
M J CurtisDivision of Imaging Sciences and Biomedical Engineering (MF, SAN) and Cardiovascular Division (MJC), King's College London, London, UK.
S A NiedererDivision of Imaging Sciences and Biomedical Engineering (MF, SAN) and Cardiovascular Division (MJC), King's College London, London, UK.
King's College London · GB

Funding

MICROCIRCULATORY CONTROL: DYNAMIC ASPECTS OF VASCULARITYF32HL008003 · NHLBI · UNIVERSITY OF MISSISSIPPI MEDICAL CENTER · PI STRICK, DAVID M · 1988 to 1991
–
British Heart Foundation RE/08/003British Heart Foundation SP/18/6/33805Wellcome TrustWellcome Trust WT 203148/Z/16/Z
6 · The paper itself

Abstract

background and purposeDoxorubicin (DOX) is an effective cancer therapeutic agent but causes therapy-limiting cardiotoxicity. The effects of DOX and its metabolite doxorubicinol (DOXL) on individual channels have been well characterized in isolation. However, it is unknown how the action and interaction of affected channels combine to generate the phenotypic cardiotoxic outcome. We sought to develop an in silico model that links drug effects on channels to action potential duration (APD) and intracellular Ca EXPERIMENTAL APPROACH: We first propose two methods to obtain, from published values, consensus drug effects on the currents of individual channels, transporters and pumps. Separately, we obtained equivalent values for APD and Ca KEY

resultsThe factorial analysis identified the rapid delayed rectifying K CONCLUSIONS AND IMPLICATIONS: This study provides insight into the mechanisms of DOX-induced cardiotoxicity and a framework for the development of future diagnostic and therapeutic strategies.

Indexed as

Models, BiologicalAction PotentialsCalciumCardiotoxicityComputer SimulationDoxorubicinIon ChannelsCalciumDoxorubicinIon Channels

Identifiers

PMID29161764
PMCPMC5811623
OpenAlexW2799881750

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.