ArticleEthics & human research2021
The Inevitability and Ethics of Inaccurate Screening in Clinical Trials: A Call for Research and Guidance.
Article in Ethics & human research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
Accurate screening of potential research participants is vital to ensuring the scientific, regulatory, and ethical appropriateness of clinical trials. Yet there are no definitive screening tests for many conditions, and many screening tests, even when implemented correctly, yield some inaccurate results. Sponsors, researchers, and review committees thus routinely face the question of when it is acceptable to approve and conduct clinical trials that rely on screening measures that are known to exclude some eligible individuals and to include some ineligible ones. This article calls attention to and proposes preliminary guidance to address this important issue.
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What OpenQuestion holds
Registered trials
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.