Evidence map›Paper›PMID 26882017›Full record

ArticleCancer2016

Dispositional optimism and therapeutic expectations in early-phase oncology trials.

Lynn A Jansen, Daruka Mahadevan, Paul S Appelbaum, William M P Klein, Neil D Weinstein, Motomi Mori, Racky Daffé, Daniel P Sulmasy

Abstract readComparative StudyMulticenter Study
In one paragraph

Article in Cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Trial
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  7. Dispositional optimism and optimistic bias: Associations with cessation motivation, confidence, and attitudes.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2022
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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

8 authors.

Lynn A JansenMadeline Brill Nelson Chair in Ethics Education, Center for Ethics in Health Care, Oregon Health & Science University, Portland, Oregon.
Daruka MahadevanProfessor of Medicine, University of Arizona Cancer Center.
Paul S AppelbaumDivision of Law, Ethics, and Psychiatry, Columbia University College of Physicians and Surgeons, New York, New York.
William M P KleinBehavioral Research Program, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Neil D WeinsteinProfessor Emeritus, Department of Human Ecology, Rutgers University, New Brunswick, New Jersey.
Motomi MoriDepartment of Cancer Biostatistics, School of Public Health and Medicine, Oregon Health & Science University, Knight Cancer Institute, Portland, Oregon.
Racky DafféDepartment of Statistics, Oregon Health & Science University, Knight Cancer Institute, Portland, Oregon.
Daniel P SulmasyDepartment of Medicine, University of Chicago, Chicago, Illinois.

Funding

Understanding the origins of rapid recurrence of pancreatic cancer after resectionP30CA069533 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Luiz Eduardo Bertassoni · 1997 to 2026
$60.5M
Understanding Therapeutic Optimism and its Impact on Risk-Benefit AssessmentR01CA166556 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI JANSEN, LYNN ALEXANDRA · 2012 to 2016
$1.2M
NCI NIH HHS 5P30CA069533-16NCI NIH HHS P30 CA069533NCI NIH HHS R01 CA166556NCI NIH HHS R01CA166556
6 · The paper itself

Abstract

backgroundPrior research has identified unrealistic optimism as a bias that might impair informed consent among patient-subjects in early-phase oncology trials. However, optimism is not a unitary construct; it also can be defined as a general disposition, or what is called dispositional optimism. The authors assessed whether dispositional optimism would be related to high expectations for personal therapeutic benefit reported by patient-subjects in these trials but not to the therapeutic misconception. The authors also assessed how dispositional optimism related to unrealistic optimism.

methodsPatient-subjects completed questionnaires designed to measure expectations for therapeutic benefit, dispositional optimism, unrealistic optimism, and the therapeutic misconception.

resultsDispositional optimism was found to be significantly associated with higher expectations for personal therapeutic benefit (Spearman rank correlation coefficient [r], 0.333; P<.0001), but was not associated with the therapeutic misconception (Spearman r, -0.075; P = .329). Dispositional optimism was found to be weakly associated with unrealistic optimism (Spearman r, 0.215; P = .005). On multivariate analysis, both dispositional optimism (P = .02) and unrealistic optimism (P<.0001) were found to be independently associated with high expectations for personal therapeutic benefit. Unrealistic optimism (P = .0001), but not dispositional optimism, was found to be independently associated with the therapeutic misconception.

conclusionsHigh expectations for therapeutic benefit among patient-subjects in early-phase oncology trials should not be assumed to result from misunderstanding of specific information regarding the trials. The data from the current study indicate that these expectations are associated with either a dispositionally positive outlook on life or biased expectations concerning specific aspects of trial participation. Not all manifestations of optimism are the same, and different types of optimism likely have different consequences for informed consent in early-phase oncology research.

Indexed as

ComprehensionInformed ConsentAdolescentAdultAgedAge FactorsAnalysis of VarianceClinical Trials as TopicCombined Modality TherapyEducational StatusFemaleHumansLinear ModelsMaleMiddle AgedMultivariate Analysiscancer researchdispositional optimisminformed consenttherapeutic misconceptiontherapeutic optimism

Identifiers

PMID26882017
PMCPMC4828311

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.