Evidence map›Paper›PMID 30620414›Full record

ArticlePharmacotherapy2019

Use of a Bioinformatics-Based Toxicity Scoring System to Assess Serotonin Burden and Predict Population-Level Adverse Drug Events from Concomitant Serotonergic Drug Therapy.

Vaughn L Culbertson, Shaikh Emdadur Rahman, Grayson C Bosen, Matthew L Caylor, Dong Xu

Open access · greenAbstract read
In one paragraph

Article in Pharmacotherapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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

5 authors at 1 institution in 1 country.

Vaughn L CulbertsonKasiska Division of Health Sciences, Department of Pharmacy Practice and Administrative Sciences, College of Pharmacy, Idaho State University, Meridian, Idaho.ORCID 0000-0002-8507-4206
Shaikh Emdadur RahmanKasiska Division of Health Sciences, Department of Biomedical and Pharmaceutical Sciences, College of Pharmacy, Idaho State University, Meridian, Idaho.
Grayson C BosenKasiska Division of Health Sciences, College of Pharmacy, Idaho State University, Meridian, Idaho.
Matthew L CaylorKasiska Division of Health Sciences, Department of Biomedical and Pharmaceutical Sciences, College of Pharmacy, Idaho State University, Meridian, Idaho.
Dong XuKasiska Division of Health Sciences, Department of Biomedical and Pharmaceutical Sciences, College of Pharmacy, Idaho State University, Meridian, Idaho.
Idaho State University · US

Funding

Women's health: interplay of maternal diet and key demographics on neurological health in the rural frontier and remote WestP20GM103408 · NIGMS · UNIVERSITY OF IDAHO · PI Carolyn Hovde Bohach · 2012 to 2026
$59.8M
Tracking and EvaluationU54GM104944 · NIGMS · UNIVERSITY OF NEVADA LAS VEGAS · PI MARCHAND, GWEN · 2013 to 2023
$39.6M
UNDERGRADUATE COLLEGE OUTREACH PROGRAMP20RR016454 · NCRR · UNIVERSITY OF IDAHO · PI HOVDE, CAROLYN J · 2001 to 2011
$35.3M
VPS35 D620N inhibits autophagy through disrupted hyaluronic acid-CD44 signalingP20GM109095 · NIGMS · BOISE STATE UNIVERSITY · PI OXFORD, JULIA THOM · 2014 to 2023
$22.7M
NCRR NIH HHS P20 RR016454NIGMS NIH HHS 1U54GM104944-02/15-746Q-ISU-MG5-00NIGMS NIH HHS 5U54GM104944-03/16-746Q-ISU-PG44-00NIGMS NIH HHS P20 GM103408NIGMS NIH HHS P20GM103408NIGMS NIH HHS P20 GM109095NIGMS NIH HHS P20GM109095NIGMS NIH HHS U54 GM104944
6 · The paper itself

Abstract

STUDY

objectiveNumerous medications interact at serotonin (5-hydroxytryptamine [5-HT]) receptors directly or through off-target interactions, causing mild to severe serotonergic adverse drug events (ADEs), particularly among older adults. Our objective was to develop a novel molecular-based toxicity scoring system to assess serotonergic burden resulting from concurrently administered drugs. Quantitative methods to assess serotonergic burden may provide a useful clinical tool for improving pharmacotherapy.

designRetrospective cohort study. DATA SOURCES: PharMetrics Legacy health claims database (January 2001-December 2013) and ChEMBL bioactivity database. PATIENTS: A 2-serotonergic drug exposure cohort (78,172 patients) and a 3-serotonergic drug exposure cohort (19,900 patients) were generated, and population-level statistics were collected. Nonexposure cohorts were created for each drug exposure cohort and matched in a 4:1 ratio for age, sex, and length of enrollment. MEASUREMENTS AND MAIN

resultsEight 5-HT medications were screened against multiple bioactivity databases to identify their off-target interactions at 5-HT receptors and serotonin reuptake transporter protein. A computational serotonin burden score (SBS) was derived from the receptor-specific interaction propensities reported from the comprehensive bioactivity screen. Linear regression was used to characterize associations between SBSs and combined total ADE incidence rate detected by International Classification of Diseases, Ninth Revision, Clinical Modification, diagnosis codes. A significantly greater incidence of 17 potential 5-HT-related ADEs was seen in exposed serotonergic drug cohorts (p<0.05). A positive correlation between SBS and overall ADE incidence rate in the 2-serotonergic drug exposure cohort (R

conclusionIn this test of concept, positive associations between SBSs and serotonin-related ADEs suggest that it may offer a pharmacologic-based foundation for developing risk assessment tools to assist in optimizing pharmacotherapy.

Indexed as

AdolescentAdultAdverse Drug Reaction Reporting SystemsAgedAged, 80 and overChildCohort StudiesComputational BiologyDatabases, FactualDrug-Related Side Effects and Adverse ReactionsFemaleHumansIncidenceInsurance Claim ReviewMaleMiddle AgedSerotonin Agentsserotonergic adverse drug eventsserotoninserotonin receptorsserotonin toxicity

Identifiers

PMID30620414
PMCPMC6386632
OpenAlexW2909476202

What OpenQuestion holds

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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.