Evidence map›Paper›PMID 17031389›Full record

ArticleBritish journal of pharmacology2006

A rabbit Langendorff heart proarrhythmia model: predictive value for clinical identification of Torsades de Pointes.

C L Lawrence, M H Bridgland-Taylor, C E Pollard, T G Hammond, J-P Valentin

Abstract read
In one paragraph

Article in British journal of pharmacology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Review
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  5. BlindedFrontiers in pharmacology · 2019
    Article
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  8. HumanFrontiers in physiology · 2017
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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.

C L LawrenceSafety Pharmacology, Safety Assessment UK, AstraZeneca R&D, Macclesfield, Cheshire, UK. chris.lawrence@astrazeneca.com
M H Bridgland-Taylor
C E Pollard
T G Hammond
J-P Valentin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeThe rabbit isolated Langendorff heart model (SCREENIT) was used to investigate the proarrhythmic potential of a range of marketed drugs or drugs intended for market. These data were used to validate the SCREENIT model against clinical outcomes. EXPERIMENTAL APPROACH: Fifty-five drugs, 3 replicates and 2 controls were tested in a blinded manner. Proarrhythmia variables included a 10% change in MAPD(60), triangulation, instability and reverse frequency-dependence of the MAP. Early after-depolarisations, ventricular tachycardia, TdP and ventricular fibrillation were noted. Data are reported at nominal concentrations relative to EFTPC(max). Proarrhythmic scores were assigned to each drug and each drug category. KEY

resultsCategory 1 and 2 drugs have the highest number of proarrhythmia variables and overt proarrhythmia while Category 5 drugs have the lowest, at every margin. At 30-fold the EFTPC(max), the mean proarrhythmic scores are: Category 1, 101+/-24; Category 2, 101+/-14; Category 3, 72+/-20; Category 4, 59+/-16 and Category 5, 22+/-9 points. Only drugs in Category 5 have mean proarrhythmic scores, below 30-fold, that remain within the Safety Zone. CONCLUSIONS AND IMPLICATIONS: A 30-fold margin between effects and EFTPC(max) is sufficiently stringent to provide confidence to proceed with a new chemical entity, without incurring the risk of eliminating potentially beneficial drugs. The model is particularly useful where compounds have small margins between the hERG IC(50) and predicted EFTPC(max). These data suggest this is a robust and reliable assay that can add value to an integrated QT/TdP risk assessment.

Indexed as

Drug Evaluation, PreclinicalAnimalsArrhythmias, CardiacDose-Response Relationship, DrugDrugs, InvestigationalElectrocardiographyERG1 Potassium ChannelEther-A-Go-Go Potassium ChannelsFemaleHeartHumansIn Vitro TechniquesLong QT SyndromeMembrane PotentialsModels, AnimalPredictive Value of TestsDrugs, InvestigationalERG1 Potassium ChannelEther-A-Go-Go Potassium ChannelsKCNH2 protein, human

Identifiers

PMID17031389
PMCPMC2014697

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.