Evidence map›Paper›PMID 35022802›Full record

ArticleArchives of toxicology2022

A model-based approach to designing developmental toxicology experiments using sea urchin embryos.

Michael D Collins, Elvis Han Cui, Seung Won Hyun, Weng Kee Wong

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Archives of toxicology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 2 institutions in 1 country.

Michael D CollinsDepartment of Environment Health Sciences and Molecular Toxicology Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, 90095, USA. mdc@ucla.edu.ORCID 0000-0001-5117-7760
Elvis Han CuiDepartment of Biostatistics, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Seung Won HyunResearch Biostatistics, Johnson and Johnson Medical Devices, Irvine, CA, 92618, USA.
Weng Kee WongDepartment of Biostatistics, University of California, Los Angeles, Los Angeles, CA, 90095, USA. wkwong@ucla.edu.
University of California, Los Angeles · USJohnson & Johnson (United States) · US

Funding

Designing Efficient Designs under Model Uncertainty for Biological StudiesR01GM107639 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WONG, WENG K · 2014 to 2017
$1.0M
NIGMS NIH HHS R01 GM107639NIGMS NIH HHS R01GM107639
6 · The paper itself

Abstract

The key aim of this paper is to suggest a more quantitative approach to designing a dose-response experiment, and more specifically, a concentration-response experiment. The work proposes a departure from the traditional experimental design to determine a dose-response relationship in a developmental toxicology study. It is proposed that a model-based approach to determine a dose-response relationship can provide the most accurate statistical inference for the underlying parameters of interest, which may be estimating one or more model parameters or pre-specified functions of the model parameters, such as lethal dose, at maximal efficiency. When the design criterion or criteria can be determined at the onset, there are demonstrated efficiency gains using a more carefully selected model-based optimal design as opposed to an ad-hoc empirical design. As an illustration, a model-based approach was theoretically used to construct efficient designs for inference in a developmental toxicity study of sea urchin embryos exposed to trimethoprim. This study compares and contrasts the results obtained using model-based optimal designs versus an ad-hoc empirical design.

Indexed as

Research DesignAnimalsAnti-Infective AgentsDose-Response Relationship, DrugEmbryonic DevelopmentEmbryo, NonmammalianSea UrchinsToxicologyTrimethoprimAnti-Infective AgentsTrimethoprimApproximate designD-optimalityDose–responseOptimal experimental designSea urchin embryoTrimethoprim

Identifiers

PMID35022802
PMCPMC8850257
OpenAlexW4206467103

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.