Evidence map›Paper›PMID 25963311›Full record

Trial reportClinical trials (London, England)2015

"It is not guaranteed that you will benefit": True but misleading?

Scott Y H Kim, Renee Wilson, Raymond De Vries, H Myra Kim, Robert G Holloway, Karl Kieburtz

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Clinical trials (London, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Weighing Open Science Against Research Participation Burden in Informed Consent: A Randomized Pilot Study.Journal of empirical research on human research ethics : JERHRE · 2025
    Trial
  3. 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

6 authors.

Scott Y H KimDepartment of Bioethics, National Institutes of Health, Bethesda, MD, USA Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA scott.kim@nih.gov.
Renee WilsonCenter for Human Experimental Therapeutics, University of Rochester, Rochester, NY, USA.
Raymond De VriesCenter for Bioethics and Social Sciences in Medicine and Department of Medical Education, University of Michigan, Ann Arbor, MI, USA.
H Myra KimDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, USA.
Robert G HollowayDepartment of Neurology, University of Rochester, Rochester, NY, USA.
Karl KieburtzDepartments of Environmental Medicine and Public Health Sciences, Clinical and Translational Science Institute, University of Rochester, Rochester, NY, USA.

Funding

UNIVERSITY OF ROCHESTER'S RESEARCH ASSOCIATE ORGANIZATIONUL1RR024160 · NCRR · UNIVERSITY OF ROCHESTER · PI PEARSON, THOMAS ARTHUR · 2006 to 2011
$38.7M
Therapeutic Misconception and the Ethics of Sham Surgery Controls in PD ResearchR01NS062770 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DE VRIES, RAYMOND G · 2009 to 2012
$1.4M
Issues in Research EthicsZIACL010541 · CLC · CLINICAL CENTER · PI KIM, SCOTT · 2015 to 2025
$0k
Intramural NIH HHSNCRR NIH HHS UL1 RR024160NINDS NIH HHS R01 NS062770NINDS NIH HHS R01-NS062770
6 · The paper itself

Abstract

backgroundParticipants of early-phase intervention trials for serious conditions provide high estimates of likelihood of benefit, even when informed consent forms do not promise such benefits. However, some technically correct, negatively stated benefits statements—such as "it is not guaranteed that you will benefit"—could play a role in raising expectations of benefit because in ordinary English usage such statements denote a likely but not a certain-to-occur event.

methodsAn experimental online survey of 584 English-speaking adults recruited online. They were randomized to receive one of two benefit statements ("not guaranteed" vs "some but very small chance"), using a hypothetical scenario of an early-phase clinical trial testing an intervention to treat amyotrophic lateral sclerosis. We assessed respondents' willingness to consider participating in the amyotrophic lateral sclerosis trial, their estimates of likelihood of benefit, and their explanations for those estimates.

resultsThe two arms did not differ in willingness to consider participation in the amyotrophic lateral sclerosis trial. Those receiving "not guaranteed" benefit statement had higher estimates of benefit than those receiving "some but very small chance" statement (35.7% (standard deviation 20.2) vs 28.3% (standard deviation 22.0), p < 0.0001). A total of 43% of all respondents chose expressions of positive sentiment (hope and need to stay positive) as explanations of their estimates; these respondents' estimates of benefit were higher than others but similar between the two arms. The effect of benefit statements was greatest among those who chose "Those are just the facts" as the explanation for their estimate (31.0% (standard deviation 22.4%) in "not guaranteed" arm vs 18.9% (standard deviation 21.0%) in comparison arm, p = 0.008).

conclusionThe use of "not guaranteed" language in benefit statements, when compared to "small but very small chance" language, appeared to increase the perception of likelihood of benefit of entering an early-phase trial, especially among those who view their estimates of benefits as "facts." Such "no guarantee" benefit statements may be misleading and should not be used in informed consent forms.

Indexed as

Informed ConsentAdultClinical Trials as TopicFemaleHumansMalePatient ParticipationRisk AssessmentSurveys and QuestionnairesYoung Adultbenefit statementsearly-phase trialsInformed consentresearch ethics

Identifiers

PMID25963311
PMCPMC4506223

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.