Evidence map›Paper›PMID 23620486›Full record

ArticleDrug metabolism and disposition: the biological fate of chemicals2013

Application of receiver operating characteristic analysis to refine the prediction of potential digoxin drug interactions.

Harma Ellens, Shibing Deng, Joann Coleman, Joe Bentz, Mitchell E Taub, Isabelle Ragueneau-Majlessi, Sophie P Chung, Krisztina Herédi-Szabó, Sibylle Neuhoff, Johan Palm and 23 more

Abstract read
In one paragraph

Article in Drug metabolism and disposition: the biological fate of chemicals, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
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  4. Review
  5. Clinical Pharmacokinetics of Approved RNA Therapeutics.International journal of molecular sciences · 2023
    Review
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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

33 authors at 16 institutions in 5 countries.

Harma EllensDrug Metabolism and Pharmacokinetics, GlaxoSmithKline Pharmaceuticals, King of Prussia, Pennsylvania, USA.
Shibing Deng
Joann Coleman
Joe Bentz
Mitchell E Taub
Isabelle Ragueneau-Majlessi
Sophie P Chung
Krisztina Herédi-Szabó
Sibylle Neuhoff
Johan Palm
Praveen Balimane
Lei Zhang
Masoud Jamei
Imad Hanna
Michael O'Connor
Dallas Bednarczyk
Malin Forsgard
Xiaoyan Chu
Christoph Funk
Ailan Guo
Kathleen M Hillgren
Libin Li
Anne Y Pak
Elke S Perloff
Ganesh Rajaraman
Laurent Salphati
Jan-Shiang Taur
Dietmar Weitz
Heleen M Wortelboer
Cindy Q Xia
Guangqing Xiao
Tetsuo Yamagata
Caroline A Lee
Absorption Systems (United States) · USBD Biosciences (United States) · USBiogen (United States) · USCenter for Drug Evaluation and Research · USMillennium Engineering and Integration (United States) · USPfizer (United States) · USDrexel University · USEli Lilly (United States) · USMerck & Co., Inc., Rahway, NJ, USA (United States) · USAstraZeneca (Sweden) · SEEisai (United States) · USGlaxoSmithKline (United States) · USOptivia Biotechnology (United States) · USRoche (Switzerland) · CHSanofi (Germany) · DESolvo Biotechnology (Hungary) · HU

Funding

A Transporter-Based Predictive ADME PlatformR43RR031474 · NCRR · OPTIVIA BIOTECHNOLOGY, INC. · PI BENET, LESLIE Z, WARREN, MARK S. · 2010 to 2010
$439k
Development of A Comprehensive Cell-Based Transporter Assay PlatformR43GM086970 · NIGMS · OPTIVIA BIOTECHNOLOGY, INC. · PI BEDNARCZYK, DALLAS · 2009 to 2009
$407k
NCRR NIH HHS R43 RR031474NCRR NIH HHS R43RR031474-01NIGMS NIH HHS R43 GM086970NIGMS NIH HHS R43GM086970-01
6 · The paper itself

Abstract

In the 2012 Food and Drug Administration (FDA) draft guidance on drug-drug interactions (DDIs), a new molecular entity that inhibits P-glycoprotein (P-gp) may need a clinical DDI study with a P-gp substrate such as digoxin when the maximum concentration of inhibitor at steady state divided by IC₅₀ ([I₁]/IC₅₀) is ≥0.1 or concentration of inhibitor based on highest approved dose dissolved in 250 ml divide by IC₅₀ ([I₂]/IC₅₀) is ≥10. In this article, refined criteria are presented, determined by receiver operating characteristic analysis, using IC₅₀ values generated by 23 laboratories. P-gp probe substrates were digoxin for polarized cell-lines and N-methyl quinidine or vinblastine for P-gp overexpressed vesicles. Inhibition of probe substrate transport was evaluated using 15 known P-gp inhibitors. Importantly, the criteria derived in this article take into account variability in IC₅₀ values. Moreover, they are statistically derived based on the highest degree of accuracy in predicting true positive and true negative digoxin DDI results. The refined criteria of [I₁]/IC₅₀ ≥ 0.03 and [I₂]/IC₅₀ ≥ 45 and FDA criteria were applied to a test set of 101 in vitro-in vivo digoxin DDI pairs collated from the literature. The number of false negatives (none predicted but DDI observed) were similar, 10 and 12%, whereas the number of false positives (DDI predicted but not observed) substantially decreased from 51 to 40%, relative to the FDA criteria. On the basis of estimated overall variability in IC₅₀ values, a theoretical 95% confidence interval calculation was developed for single laboratory IC₅₀ values, translating into a range of [I₁]/IC₅₀ and [I₂]/IC₅₀ values. The extent by which this range falls above the criteria is a measure of risk associated with the decision, attributable to variability in IC₅₀ values.

Indexed as

ATP Binding Cassette Transporter, Subfamily B, Member 1Decision TreesDigoxinDrug InteractionsHumansROC CurveUnited StatesUnited States Food and Drug AdministrationATP Binding Cassette Transporter, Subfamily B, Member 1Digoxin

Identifiers

PMID23620486
PMCPMC3684818
OpenAlexW2154921721

What OpenQuestion holds

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Read underepoch 390

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.