Evidence map›Paper›PMID 42694548›Full record

ArticleMDM policy & practice

Resistance to a Novel Clinical Trial Design for Multicancer Detection Tests: Experimental Investigation of Ambiguity Aversion.

Jacob A Rohde, Jackelyn B Payne, Richard P Moser, William M P Klein, Philip E Castle, Paul K J Han

Abstract read
In one paragraph

Article in MDM policy & practice. 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

6 authors.

Jacob A RohdeDepartment of Allied Health Sciences, College of Agriculture, Health, and Natural Resources, University of Connecticut, Storrs, CT, USA.ORCID https://orcid.org/0000-0001-6334-1986
Jackelyn B PayneCancer Prevention Fellowship Program, Division of Cancer Prevention, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Richard P MoserBehavioral Research Program, Division of Cancer Prevention, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
William M P KleinDivisions of Cancer Prevention and Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Philip E CastleBehavioral Research Program, Division of Cancer Prevention, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Paul K J HanBehavioral Research Program, Division of Cancer Prevention, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.ORCID https://orcid.org/0000-0003-0165-1940

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Randomized controlled trials (RCTs) are needed to evaluate multicancer detection (MCD) tests. A novel "intended-effect" RCT design in which control group participants receive MCD testing but results remain undisclosed can increase statistical efficiency. Prospective participants may find this design unacceptable due to ambiguity aversion introduced by the existence of undisclosed but theoretically knowable test results. We evaluated this effect and tested if reducing ambiguity by ensuring the unknowability of test results mitigates this bias. Methods: US adults aged 45 to 70 y ( Results: Intention to participate was similar across all conditions (range: 14%-21%). Study interest was higher in the conventional control ( Conclusion: Intended-effect RCT designs lower interest in MCD trial participation, in part by reducing prospective participants' perceptions of benefiting from the trial. Strategies to reduce ambiguity do not mitigate this effect.

Indexed as

multicancer detectionparticipant recruitmentrandomized clinical trial

Identifiers

PMID42694548
PMCPMC13539024

What OpenQuestion holds

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Registered trials

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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.