Evidence map›Paper›PMID 31783243›Full record

ArticleEnvironment international2020

Ordinal dose-response modeling approach for the phthalate syndrome.

Todd D Blessinger, Susan Y Euling, Lily Wang, Karen A Hogan, Christine Cai, Gary Klinefelter, Anne-Marie Saillenfait

Open access · goldAbstract read
In one paragraph

Article in Environment international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. A Comparative Multi-System Approach to Characterizing Bioactivity of Commonly Occurring Chemicals.International journal of environmental research and public health · 2022
    Article
  3. 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 at 2 institutions in 2 countries.

Todd D BlessingerCenter for Public Health and Environmental Assessment (CPHEA), Mail code 8623R, USA; United States (US) Environmental Protection Agency, Washington, DC 20460, USA. Electronic address: blessinger.todd@epa.gov.
Susan Y EulingOffice of Children's Health Protection (OCHP), Mail code 1107T, USA; United States (US) Environmental Protection Agency, Washington, DC 20460, USA.
Lily WangCPHEA, US Environmental Protection Agency, Mail code B243-01, Research Triangle Park, NC 27711, USA.
Karen A HoganCenter for Public Health and Environmental Assessment (CPHEA), Mail code 8623R, USA; United States (US) Environmental Protection Agency, Washington, DC 20460, USA.
Christine CaiCenter for Public Health and Environmental Assessment (CPHEA), Mail code 8623R, USA; United States (US) Environmental Protection Agency, Washington, DC 20460, USA.
Gary KlinefelterNational Health and Environmental Effects Research Lab (NHEERL), USA; United States (US) Environmental Protection Agency, Washington, DC 20460, USA.
Anne-Marie SaillenfaitInstitut National de Recherche et de Sécurité, Vandoeuvre, France.
Environmental Protection Agency · USInstitut National de Recherche et de Sécurité · FR

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

backgroundThe phthalate syndrome (PS) is a collection of related male reproductive developmental effects, ranging in severity, that have been observed in rats after gestational exposure to developmentally-toxic phthalates. For statistical purposes, the PS is defined as a single endpoint and one dose-response analysis is conducted, rather than conducting multiple analyses on each individual endpoint.

objectiveTo improve dose-response modeling approaches for the PS and other syndromes of effects by accounting for differing severity levels among the endpoints.

methodsOrdinal dose-response modeling was performed on PS data from a published study of diisobutyl phthalate (DIBP) gestational exposure to male Sprague-Dawley rats. To incorporate PS endpoint severity, the endpoints were categorized into ordinal levels based on the expected impact of male developmental endpoint's on fertility. Then, a benchmark dose was estimated for each ordinal level. A bootstrap procedure was used to account for the nested nature of the data, and a sensitivity analysis was performed to assess the bootstrap results. A comparison of the estimates between the ordinal and the dichotomous model was performed.

resultsThe ordinal version of the log-logistic model applied to the data categorized by PS endpoint severity level provided benchmark dose estimates that were closer to each other in value and had lower variability than the traditional dichotomous application. The sensitivity analysis confirmed the validity of the bootstrap results.

conclusionThe ordinal dose-response modeling method accounts for severity differences among dichotomous PS endpoints, can be expanded in the future to include more severity levels, and can be used in both single and cumulative phthalate risk assessments.

Indexed as

AnimalsDibutyl PhthalateLogistic ModelsMalePhthalic AcidsRatsRats, Sprague-DawleyDibutyl PhthalatePhthalic AcidsDiisobutyl phthalateDose-response modelingMale reproductive developmentNested modelOrdinal data analysisPhthalate syndrome

Identifiers

PMID31783243
PMCPMC7323710
OpenAlexW2989970512

What OpenQuestion holds

Textmetadata
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.