Evidence map›Paper›PMID 41069046›Full record

Trial reportJournal of empirical research on human research ethics : JERHRE2025

Weighing Open Science Against Research Participation Burden in Informed Consent: A Randomized Pilot Study.

Renata Iskander, Patrick Kane, Madeleine Sharp, Jonathan Kimmelman

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of empirical research on human research ethics : JERHRE, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Renata IskanderDepartment of Equity, Ethics and Policy, McGill University, Montreal, Canada.ORCID 0000-0002-2959-1970
Patrick KaneDepartment of Equity, Ethics and Policy, McGill University, Montreal, Canada.ORCID 0000-0003-1050-570X
Madeleine SharpDepartment of Neurology and Neurosurgery, McGill University, Montreal, Canada.ORCID 0000-0001-6289-9128
Jonathan KimmelmanDepartment of Equity, Ethics and Policy, McGill University, Montreal, Canada.ORCID 0000-0003-1614-6779

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deciding to participate in clinical research requires patients to evaluate various trial characteristics. This survey study measured the influence of trial characteristics (visit volume and open data sharing) on willingness to participate in patients with Parkinson's disease. Patients were randomized to either evaluate two trials (joint condition) or a single trial (separate condition). For patients who evaluated both trials, willingness to participate was greater in the restricted science protocol with fewer visits (7.60 vs. 7.12; mean difference, -0.48; 95% CI, -0.83 to -0.14). Patients who evaluated both trials were less willing to participate in the study involving more visits than patients who only evaluated the study involving more visits (7.12 vs. 8.14; mean difference, 1.02; 95% CI, 0.30 to 1.74). Patients have difficulty evaluating information about open science and visit burden when information is presented separately. Although views toward open science were favorable, preferences for fewer visits dominated decisions.

Indexed as

Biomedical ResearchDecision MakingInformation DisseminationInformed ConsentParkinson DiseasePatient ParticipationResearch SubjectsAgedFemaleHumansMaleMiddle AgedPilot ProjectsSurveys and Questionnairesbenefitburdenclinical trialsevaluability hypothesisopen scienceresearch ethics

Identifiers

PMID41069046
PMCPMC12586728

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.