Evidence map›Paper›PMID 28974520›Full record

Trial reportCirculation2018

Improving Assessment of Drug Safety Through Proteomics: Early Detection and Mechanistic Characterization of the Unforeseen Harmful Effects of Torcetrapib.

Stephen A Williams, Ashwin C Murthy, Robert K DeLisle, Craig Hyde, Anders Malarstig, Rachel Ostroff, Sophie J Weiss, Mark R Segal, Peter Ganz

2 registry-linked trialsAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Circulation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It reports registered trial NCT00134264. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
–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.

NCT00134264 phase3terminated

Phase 3 Multi Center, Double Blind, Randomized, Parallel Group Evaluation Of The Fixed Combination Torcetrapib/Atorvastatin, Administered Orally, Once Daily (Qd), Compared With Atorvastatin Alone, On The Occurrence Of Major Cardiovascular Events In Subjects With Coronary Heart Disease Or Risk Equivalents

Ran2004Enrolled15,067Registered outcomes2Posted comparisons0ConditionsCoronary Disease, Diabetes MellitusArmsAtorvastatin, torcetrapib/atorvastatin
Open the trial in the graph
NCT04836117 naterminatednot on this mapstarted 2021, after this paper: background citation

Evaluating the Impact of SomaSignal Tests on Medical Management and Change in Risk in Patients at Higher Risk of Cardiovascular Disease: A Feasibility and an Adaptive Implementation Study (SomaSignal Study)

TypeinterventionalSponsorIntermountain Health Care, Inc.Ran2021 to 2022Enrolled12ConditionsHealth BehaviorArmsSomaSignal Test Results
3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Stephen A WilliamsSomaLogic, Inc., Boulder, CO (S.A.W., R.K.D., R.O., S.J.W.).
Ashwin C MurthyDepartment of Medicine (A.C.M., P.G.).
Robert K DeLisleSomaLogic, Inc., Boulder, CO (S.A.W., R.K.D., R.O., S.J.W.).
Craig HydeUniversity of California, San Francisco. Pfizer Inc., Worldwide Research and Development, Groton, CT (C.H.).
Anders MalarstigPfizer Inc., Worldwide Research and Development, Stockholm, Sweden (A.M.).
Rachel OstroffSomaLogic, Inc., Boulder, CO (S.A.W., R.K.D., R.O., S.J.W.).
Sophie J WeissSomaLogic, Inc., Boulder, CO (S.A.W., R.K.D., R.O., S.J.W.).
Mark R SegalDepartment of Epidemiology and Biostatistics (M.R.S.).
Peter GanzDepartment of Medicine (A.C.M., P.G.) peter.ganz@ucsf.edu.

Funding

Comprehensive Evaluation of Aging-Related Clinical Outcomes and Geroproteins - SUPPLEMENTR01AG052964 · NIA · CALIFORNIA PACIFIC MED CTR RES INSTITUTE · PI CUMMINGS, STEVEN RON, GANZ, PETER · 2016 to 2020
$3.2M
Protein Biomarkers for CVD Prediction in HIV-Infected and Uninfected VeteransR01HL129856 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FREIBERG, MATTHEW S, GANZ, PETER · 2016 to 2019
$2.9M
Identifying Modifiable Biomarkers/Mediators for Cardiovascular Disease in Chronic Kidney DiseaseU01DK108809 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DEO, RAJAT, DUBIN, RUTH · 2016 to 2020
$1.9M
NHLBI NIH HHS R01 HL129856NIA NIH HHS R01 AG052964NIDDK NIH HHS U01 DK108809
6 · The paper itself

Abstract

backgroundEarly detection of adverse effects of novel therapies and understanding of their mechanisms could improve the safety and efficiency of drug development. We have retrospectively applied large-scale proteomics to blood samples from ILLUMINATE (Investigation of Lipid Level Management to Understand its Impact in Atherosclerotic Events), a trial of torcetrapib (a cholesterol ester transfer protein inhibitor), that involved 15 067 participants at high cardiovascular risk. ILLUMINATE was terminated at a median of 550 days because of significant absolute increases of 1.2% in cardiovascular events and 0.4% in mortality with torcetrapib. The aims of our analysis were to determine whether a proteomic analysis might reveal biological mechanisms responsible for these harmful effects and whether harmful effects of torcetrapib could have been detected early in the ILLUMINATE trial with proteomics.

methodsA nested case-control analysis of paired plasma samples at baseline and at 3 months was performed in 249 participants assigned to torcetrapib plus atorvastatin and 223 participants assigned to atorvastatin only. Within each treatment arm, cases with events were matched to controls 1:1. Main outcomes were a survey of 1129 proteins for discovery of biological pathways altered by torcetrapib and a 9-protein risk score validated to predict myocardial infarction, stroke, heart failure, or death.

resultsPlasma concentrations of 200 proteins changed significantly with torcetrapib. Their pathway analysis revealed unexpected and widespread changes in immune and inflammatory functions, as well as changes in endocrine systems, including in aldosterone function and glycemic control. At baseline, 9-protein risk scores were similar in the 2 treatment arms and higher in participants with subsequent events. At 3 months, the absolute 9-protein derived risk increased in the torcetrapib plus atorvastatin arm compared with the atorvastatin-only arm by 1.08% (

conclusionsHeretofore unknown effects of torcetrapib were revealed in immune and inflammatory functions. A protein-based risk score predicted harm from torcetrapib within just 3 months. A protein-based risk assessment embedded within a large proteomic survey may prove to be useful in the evaluation of therapies to prevent harm to patients. CLINICAL

trial registrationURL: https://www.clinicaltrials.gov. Unique identifier: NCT00134264.

Indexed as

AgedAldosteroneAnticholesteremic AgentsBiomarkers, PharmacologicalCase-Control StudiesCholesterol Ester Transfer ProteinsDrug-Related Side Effects and Adverse ReactionsEarly DiagnosisFemaleHeart FailureHumansMaleMiddle AgedMyocardial InfarctionPrognosisProspective StudiesAldosteroneAnticholesteremic AgentsBiomarkers, PharmacologicalCholesterol Ester Transfer ProteinsQuinolinestorcetrapibaptamersbiomarkerspeptidesprecision medicineprescription drugsproteinsproteomics

Identifiers

PMID28974520
PMCPMC5839936

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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 Socratic graph.