Evidence map›Paper›PMID 30467458›Full record

ArticleIEEE computational intelligence magazine2018

Augmentation of Physician Assessments with Multi-Omics Enhances Predictability of Drug Response: A Case Study of Major Depressive Disorder.

Arjun Athreya, Ravishankar Iyer, Drew Neavin, Liewei Wang, Richard Weinshilboum, Rima Kaddurah-Daouk, John Rush, Mark Frye, William Bobo

Abstract read
In one paragraph

Article in IEEE computational intelligence magazine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% 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

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

  1. Pooled it
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  3. Article
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  14. Prediction of short-term antidepressant response using probabilistic graphical models with replication across multiple drugs and treatment settings.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021
    Article
  15. Article
  16. Review
  17. Challenges and Future Prospects of Precision Medicine in Psychiatry.Pharmacogenomics and personalized medicine · 2020
    Review
  18. Review
  19. Machine learning approach to predict medication overuse in migraine patients.Computational and structural biotechnology journal · 2020
    Article
  20. Review
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

9 authors at 4 institutions in 1 country.

Arjun AthreyaDepartment of Electrical and Computer Engineering, Univ. of Illinois at Urbana-Champaign, IL, USA.
Ravishankar IyerDepartment of Electrical and Computer Engineering, Univ. of Illinois at Urbana-Champaign, IL, USA.
Drew NeavinDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, MN, USA.
Liewei WangDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, MN, USA.
Richard WeinshilboumDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, MN, USA.
Rima Kaddurah-DaoukDepartment of Psychiatry and Behavioral Sciences, Duke University, NC, USA.
John RushDepartment of Psychiatry and Behavioral Sciences, Duke University, NC, USA.
Mark FryeDepartment of Psychiatry and Psychology, Mayo Clinic, MN, USA.
William BoboDepartment of Psychiatry and Psychology, Mayo Clinic, FL, USA.
Mayo Clinic in Arizona · USDuke University · USUniversity of Illinois Urbana-Champaign · USMayo Clinic in Florida · US

Funding

Pharmacogenetics of Phase II Drug Metabolizing EnzymesU19GM061388 · NIGMS · MAYO CLINIC ROCHESTER · PI WEINSHILBOUM, RICHARD M. · 2010 to 2014
$15.8M
TRAININGU54GM114838 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI HAN, JIAWEI, SINHA, SAURABH · 2014 to 2017
$10.8M
INHERITED VARIATIONS IN DRUG-METABOLIZING ENZYMESR01GM028157 · NIGMS · MAYO CLINIC ROCHESTER · PI WEINSHILBOUM, RICHARD M. · 1985 to 2019
$6.9M
Metabolomics Network for Drug Response PhenotypeRC2GM092729 · NIGMS · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F · 2009 to 2010
$4.5M
Metabolomic Signatures Predictive of Outcomes to Treatments for Major DepressionR01MH108348 · NIMH · DUKE UNIVERSITY · PI DUNLOP, BOADIE W, KADDURAH-DAOUK, RIMA F · 2016 to 2019
$2.7M
Predoctoral Training Program in Molecular PharmacologyT32GM072474 · NIGMS · MAYO CLINIC ROCHESTER · PI KARNITZ, LARRY M · 2005 to 2020
$2.4M
Metabolomics Network for Drug Response PhenotypeR24GM078233 · NIGMS · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F · 2007 to 2010
$2.1M
NIGMS NIH HHS R01 GM028157NIGMS NIH HHS R24 GM078233NIGMS NIH HHS RC2 GM092729NIGMS NIH HHS T32 GM072474NIGMS NIH HHS U19 GM061388NIGMS NIH HHS U54 GM114838NIMH NIH HHS R01 MH108348
6 · The paper itself

Abstract

This work proposes a "

Identifiers

PMID30467458
PMCPMC6241311
OpenAlexW2884549734

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.