Evidence map›Paper›PMID 34419159›Full record

ArticleSystematic reviews2021

Integrated Risk Information System (IRIS) response to "Assessing risk of bias in human environmental epidemiology studies using three tools: different conclusions from different tools".

Elizabeth G Radke, Barbara S Glenn, Andrew D Kraft

Abstract readLetterComment
In one paragraph

Article in Systematic reviews, 2021. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Elizabeth G RadkeCenter for Public Health and Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, Washington, D.C, USA. radke-farabaugh.elizabeth@epa.gov.ORCID 0000-0002-2504-2405
Barbara S GlennCenter for Public Health and Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, Washington, D.C, USA.
Andrew D KraftCenter for Public Health and Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, Washington, D.C, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

"Assessing risk of bias in human environmental epidemiology studies using three tools: different conclusions from different tools," a recent publication in this journal, applied the study evaluation approach developed by the U.S. Environmental Protection Agency's Integrated Risk Information System (IRIS), as well as other approaches, to a set of studies examining polybrominated diphenyl ethers (PBDEs) and neurodevelopment. They concluded that use of the IRIS approach resulted in exclusion of studies, which would lead to hazard conclusions based on an incomplete body of evidence. As scientists in the IRIS program, we support the comparison of approaches to improve systematic review methods for environmental exposures; however, we believe the IRIS approach was misrepresented. In this letter, we demonstrate that the ratings attributed to the IRIS approach were not consistent with our own application of the tool. We also clarify the use of studies rated as "low confidence" and the use of an overall study confidence rating in our systematic reviews. In conclusion, the IRIS study evaluation approach is a transparent method to inform certainty in our evidence synthesis decisions and ensures consistency in the development of IRIS health assessments.

Indexed as

Environmental HealthResearch DesignBiasEnvironmental ExposureHumansInformation SystemsEnvironmental epidemiologyRisk assessmentRisk of biasStudy evaluationSystematic review

Identifiers

PMID34419159
PMCPMC8380400

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.