Evidence map›Paper›PMID 27301674›Full record

ArticleClinical pharmacology and therapeutics2016

A new paradigm for predicting risk of Torsades de Pointes during drug development: Commentary on: "Improved prediction of drug-induced Torsades de Pointes through simulations of dynamics and machine learning algorithms".

M D McCauley, D Darbar

Open access · greenAbstract readComment
In one paragraph

Article in Clinical pharmacology and therapeutics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 92% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

M D McCauleyDivision of Cardiology, University of Illinois at Chicago, Chicago, Illinois, USA.
D DarbarDivision of Cardiology, University of Illinois at Chicago, Chicago, Illinois, USA. darbar@uic.edu.
University of Illinois Chicago · US

Funding

Pharmacogenomics of Arrhythmia TherapyU19HL065962 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RODEN, DAN M · 2010 to 2014
$17.4M
Positional Cloning and Candidate Gene Approach to Familial Atrial FibrillationR01HL092217 · NHLBI · VANDERBILT UNIVERSITY · PI DARBAR, DAWOOD · 2009 to 2017
$2.9M
Toward a Mechanism-Based Approach to Treating Atrial FibrillationR01HL124935 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI KNOLLMANN, BJORN C · 2015 to 2019
$2.8M
PPP1R12C contributes to myosin light chain de-phosphorylation and atrial hypocontractility in atrial fibrillationK08HL130587 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MCCAULEY, MARK D · 2016 to 2020
$892k
NHLBI NIH HHS K08 HL130587NHLBI NIH HHS R01 HL092217NHLBI NIH HHS R01 HL124935NHLBI NIH HHS U19 HL065962
6 · The paper itself

Abstract

Drug-induced long QT syndrome (diLQTS) is a clinical entity in which administration of a drug produces marked prolongation of the QT interval on the ECG. DiLQTS places a patient at risk of developing Torsades de Pointes (TdP), a malignant polymorphic ventricular tachycardia associated with arrhythmic sudden cardiac death (SCD). In addition to diLQTS, other clinical risk factors for TdP include female gender, bradycardia, electrolyte disturbances, recent conversion to normal (sinus) rhythm, and congenital LQTS.

Indexed as

Long QT SyndromeTorsades de PointesAlgorithmsElectrocardiographyFemaleHumansMachine LearningRisk Factors

Identifiers

PMID27301674
PMCPMC5314413
OpenAlexW2440923164

What OpenQuestion holds

Textmetadata
LicenceTDM
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.