Evidence map›Paper›PMID 32871380›Full record

SynthesisEnvironment international2020

Use of study-specific MOE-like estimates to prioritize health effects from chemical exposure for analysis in human health assessments.

Kevin Hobbie, Kan Shao, Cara Henning, William Mendez, Janice S Lee, Ila Cote, Ingrid L Druwe, J Allen Davis, Jeffrey S Gift

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Environment international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kevin HobbieICF, 9300 Lee Highway, Fairfax, VA 22031-1207, USA.
Kan ShaoDepartment of Environmental and Occupational Health, Indiana University, Bloomington, IN, USA.
Cara HenningICF, 2635 Meridian Parkway Suite 200, Durham, NC 27713, USA.
William MendezICF, 9300 Lee Highway, Fairfax, VA 22031-1207, USA.
Janice S LeeCPHEA, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA.
Ila CoteCPHEA, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA.
Ingrid L DruweCPHEA, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA.
J Allen DavisCPHEA, U.S. Environmental Protection Agency, Cincinnati, OH, USA.
Jeffrey S GiftCPHEA, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA. Electronic address: gift.jeff@epa.gov.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

There are unique challenges in estimating dose-response with chemicals that are associated with multiple health outcomes and numerous studies. Some studies are more suitable than others for quantitative dose-response analyses. For such chemicals, an efficient method of screening studies and endpoints to identify suitable studies and potentially important health effects for dose-response modeling is valuable. Using inorganic arsenic as a test case, we developed a tiered approach that involves estimating study-specific margin of exposure (MOE)-like unitless ratios for two hypothetical scenarios. These study-specific unitless ratios are derived by dividing the exposure estimated to result in a 20% increase in relative risk over the background exposure (RRE

Indexed as

ArsenicArsenicalsCohort StudiesCross-Sectional StudiesEnvironmental ExposureEpidemiologic StudiesHumansRisk AssessmentUnited StatesArsenicArsenicalsBenchmark doseCase-controlCohortInorganic arsenicMargin of exposure

Identifiers

PMID32871380
PMCPMC7572727

What OpenQuestion holds

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LicenceCC BY
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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.