Evidence map›Paper›PMID 32335903›Full record

ArticleBritish journal of pharmacology2020

Semi-mechanistic modelling platform to assess cardiac contractility and haemodynamics in preclinical cardiovascular safety profiling of new molecular entities.

Raja Venkatasubramanian, Teresa A Collins, Lawrence J Lesko, Jerome T Mettetal, Mirjam N Trame

Abstract read
In one paragraph

Article in British journal of pharmacology, 2020. 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
–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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Mechanisms of flecainide induced negative inotropy: An in silico study.Journal of molecular and cellular cardiology · 2021
    Article
  6. 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

5 authors.

Raja VenkatasubramanianCenter for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, Florida, USA.
Teresa A CollinsClinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge, UK.
Lawrence J LeskoCenter for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, Florida, USA.
Jerome T MettetalEarly TDE Discovery, R&D, AstraZeneca, Waltham, Massachusetts, USA.
Mirjam N TrameCenter for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, Florida, USA.ORCID 0000-0002-1030-4986

Funding

AstraZeneca
6 · The paper itself

Abstract

background and purposeCardiovascular safety is one of the most frequent causes of safety-related attrition both preclinically and clinically. Preclinical cardiovascular safety is routinely assessed using dog telemetry monitoring key cardiovascular functions. The present research was to develop a semi-mechanistic modelling platform to simultaneously assess changes in contractility (dPdt EXPERIMENTAL APPROACH: Data from dPdt KEY

resultsThe model was able to describe drug-induced changes in dPdt CONCLUSIONS AND IMPLICATIONS: The contractility and haemodynamics semi-mechanistic modelling platform accounts for diurnal variation, drug-induced changes and inter-animal variation. It can be used to hypothesize and evaluate pharmacological effects and provide a holistic cardiovascular safety profile for new drugs.

Indexed as

Cardiovascular SystemMyocardial ContractionAnimalsDogsHeart RateHemodynamicsRatsTelemetry

Identifiers

PMID32335903
PMCPMC7348097

What OpenQuestion holds

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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.