Evidence map›Paper›PMID 38470112›Full record

ArticleAntimicrobial agents and chemotherapy2024

Two-way pharmacodynamic modeling of drug combinations and its application to pairs of repurposed Ebola and SARS-CoV-2 agents.

Shuang Xu, Shadisadat Esmaeili, E Fabian Cardozo-Ojeda, Ashish Goyal, Judith M White, Stephen J Polyak, Joshua T Schiffer

Abstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Breast cancer (Dove Medical Press) · 2026
    Article
  3. EfficientAntimicrobial agents and chemotherapy · 2025
    Article
  4. Article
  5. 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

7 authors.

Shuang Xu *Fred Hutchinson Cancer Research Center, Vaccine and Infectious Diseases Division, Seattle, Washington, USA.
Shadisadat Esmaeili *Fred Hutchinson Cancer Research Center, Vaccine and Infectious Diseases Division, Seattle, Washington, USA.
E Fabian Cardozo-OjedaFred Hutchinson Cancer Research Center, Vaccine and Infectious Diseases Division, Seattle, Washington, USA.
Ashish GoyalFred Hutchinson Cancer Research Center, Vaccine and Infectious Diseases Division, Seattle, Washington, USA.
Judith M WhiteDepartment of Microbiology, University of Virginia, Charlottesville, Virginia, USA.ORCID 0000-0002-0532-996X
Stephen J PolyakVirology Division, Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA.ORCID 0000-0001-7475-9827
Joshua T SchifferFred Hutchinson Cancer Research Center, Vaccine and Infectious Diseases Division, Seattle, Washington, USA.ORCID 0000-0002-2598-1621

Funding

Development of an Oral Pan-Coronavirus Drug CocktailR01AI177512 · NIAID · UNIVERSITY OF WASHINGTON · PI STEPHEN J. POLYAK, Joshua Tisdell Schiffer · 2023 to 2026
$2.7M
NIAID NIH HHS R01 AI177512
6 · The paper itself

Abstract

Existing pharmacodynamic (PD) mathematical models for drug combinations discriminate antagonistic, additive, multiplicative, and synergistic effects, but fail to consider how concentration-dependent drug interaction effects may vary across an entire dose-response matrix. We developed a two-way pharmacodynamic (TWPD) model to capture the PD of two-drug combinations. TWPD captures interactions between upstream and downstream drugs that act on different stages of viral replication, by quantifying upstream drug efficacy and concentration-dependent effects on downstream drug pharmacodynamic parameters. We applied TWPD to previously published

Indexed as

COVID-19Hemorrhagic Fever, EbolaDrug CombinationsHumansModels, BiologicalSARS-CoV-2Drug Combinationsantiviral drug combinationsconcentration-dependent drug-drug interactiondose-response matrixdrug repurposingtwo-way pharmacodynamic modelingupstream drug-dependent pharmacodynamic parameters

Identifiers

PMID38470112
PMCPMC10989026

What OpenQuestion holds

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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.