Evidence map›Paper›PMID 26252067›Full record

ArticleJournal of occupational and environmental hygiene2015

Historical Context and Recent Advances in Exposure-Response Estimation for Deriving Occupational Exposure Limits.

M W Wheeler, R M Park, A J Bailer, C Whittaker

Abstract readHistorical Article
In one paragraph

Article in Journal of occupational and environmental hygiene, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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.

M W Wheelera Centers for Disease Control and Prevention (CDC), National Institute for Occupational Safety and Health (NIOSH) , Education and Information Division , Cincinnati , Ohio.
R M Parka Centers for Disease Control and Prevention (CDC), National Institute for Occupational Safety and Health (NIOSH) , Education and Information Division , Cincinnati , Ohio.
A J Bailerb Department of Statistics , Miami University , Oxford , Ohio.
C Whittakera Centers for Disease Control and Prevention (CDC), National Institute for Occupational Safety and Health (NIOSH) , Education and Information Division , Cincinnati , Ohio.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Virtually no occupational exposure standards specify the level of risk for the prescribed exposure, and most occupational exposure limits are not based on quantitative risk assessment (QRA) at all. Wider use of QRA could improve understanding of occupational risks while increasing focus on identifying exposure concentrations conferring acceptably low levels of risk to workers. Exposure-response modeling between a defined hazard and the biological response of interest is necessary to provide a quantitative foundation for risk-based occupational exposure limits; and there has been considerable work devoted to establishing reliable methods quantifying the exposure-response relationship including methods of extrapolation below the observed responses. We review several exposure-response modeling methods available for QRA, and demonstrate their utility with simulated data sets.

Indexed as

Epidemiologic MethodsHistory, 20th CenturyHumansModels, StatisticalNo-Observed-Adverse-Effect LevelOccupational ExposureOccupational HealthRisk Assessmentbenchmark dosecritical effectdose-responseexposure-responsemodelingoccupational

Identifiers

PMID26252067
PMCPMC4685605

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.