Evidence map›Paper›PMID 29185237›Full record

ArticleDrug safety2018

Using Human 'Experiments of Nature' to Predict Drug Safety Issues: An Example with PCSK9 Inhibitors.

Rebecca N Jerome, Jill M Pulley, Dan M Roden, Jana K Shirey-Rice, Lisa A Bastarache, Gordon R Bernard, Leeland B Ekstrom, William J Lancaster, Joshua C Denny

Abstract read
In one paragraph

Article in Drug safety, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Rebecca N JeromeVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA. rebecca.jerome@vumc.org.
Jill M PulleyVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.
Dan M RodenOffice of Research, Vanderbilt University Medical Center, Nashville, TN, USA.
Jana K Shirey-RiceVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.
Lisa A BastaracheDepartment of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA.
Gordon R BernardVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.
Leeland B EkstromVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.
William J LancasterDepartment of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA.
Joshua C DennyDepartment of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA.

Funding

Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
VGER, the Vanderbilt Genome-Electronic Records ProjectU01HG008672 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DENNY, JOSHUA C., RODEN, DAN M · 2015 to 2019
$5.1M
NCATS NIH HHS UL1 TR000445NCATS NIH HHS UL1TR000445NCATS NIH HHS UL1 TR002243NHGRI NIH HHS U01 HG008672
6 · The paper itself

Abstract

introductionWhen a new drug enters the market, its full array of side effects remains to be defined. Current surveillance approaches targeting these effects remain largely reactive. There is a need for development of methods to predict specific safety events that should be sought for a given new drug during development and postmarketing activities.

objectiveWe present here a safety signal identification approach applied to a new set of drug entities, inhibitors of the serine protease proprotein convertase subtilisin/kexin type 9 (PCSK9).

methodsUsing phenome-wide association study (PheWAS) methods, we analyzed available genotype and clinical data from 29,722 patients, leveraging the known effects of changes in PCSK9 to identify novel phenotypes in which this protein and its inhibitors may have impact.

resultsPheWAS revealed a significantly reduced risk of hypercholesterolemia (odds ratio [OR] 0.68, p = 7.6 × 10

conclusionThis novel methodology provides an opportunity to put in place new mechanisms to assess the safety and long-term tolerability of PCSK9 inhibitors specifically, and other new agents in general, as they move into human testing and expanded clinical use.

Indexed as

PCSK9 InhibitorsCholesterol, LDLEnzyme InhibitorsFemaleGenotypeHumansHypercholesterolemiaMalePhenotypePolymorphism, Single NucleotideProduct Surveillance, PostmarketingRisk FactorsSpinal DysraphismCholesterol, LDLEnzyme InhibitorsPCSK9 Inhibitors

Identifiers

PMID29185237
PMCPMC5828879

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Registered trials

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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.