Evidence map›Paper›PMID 27511904›Full record

Trial reportThe oncologist2016

Decision Aids Can Support Cancer Clinical Trials Decisions: Results of a Randomized Trial.

Mary C Politi, Marie D Kuzemchak, Kimberly A Kaphingst, Hannah Perkins, Jingxia Liu, Margaret M Byrne

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in The oncologist, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. AI-based augmentation of oncology clinical trials.Nature reviews. Clinical oncology · 2026
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  20. Evaluating Adaptation of a Cancer Clinical Trial Decision Aid for Rural Cancer Patients: A Mixed-Methods Approach.Journal of cancer education : the official journal of the American Association for Cancer Education · 2019
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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

6 authors.

Mary C PolitiDivision of Public Health Sciences, Department of Surgery and Siteman Cancer Center, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA mpoliti@wustl.edu.
Marie D KuzemchakDivision of Public Health Sciences, Department of Surgery and Siteman Cancer Center, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.
Kimberly A KaphingstDepartment of Communication and Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.
Hannah PerkinsDivision of Public Health Sciences, Department of Surgery and Siteman Cancer Center, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.
Jingxia LiuDivision of Public Health Sciences, Department of Surgery and Siteman Cancer Center, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.
Margaret M ByrneDepartment of Public Health Sciences, Department of Surgery and Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer patients often do not make informed decisions regarding clinical trial participation. This study evaluated whether a web-based decision aid (DA) could support trial decisions compared with our cancer center's website.

methodsAdults diagnosed with cancer in the past 6 months who had not previously participated in a cancer clinical trial were eligible. Participants were randomized to view the DA or our cancer center's website (enhanced usual care [UC]). Controlling for whether participants had heard of cancer clinical trials and educational attainment, multivariable linear regression examined group on knowledge, self-efficacy for finding trial information, decisional conflict (values clarity and uncertainty), intent to participate, decision readiness, and trial perceptions.

resultsTwo hundred patients (86%) consented between May 2014 and April 2015. One hundred were randomized to each group. Surveys were completed by 87 in the DA group and 90 in the UC group. DA group participants reported clearer values regarding trial participation than UC group participants reported (least squares [LS] mean = 15.8 vs. 32, p < .0001) and less uncertainty (LS mean = 24.3 vs. 36.4, p = .025). The DA group had higher objective knowledge than the UC group's (LS mean = 69.8 vs. 55.8, p < .0001). There were no differences between groups in intent to participate.

conclusionsImprovements on key decision outcomes including knowledge, self-efficacy, certainty about choice, and values clarity among participants who viewed the DA suggest web-based DAs can support informed decisions about trial participation among cancer patients facing this preference-sensitive choice. Although better informing patients before trial participation could improve retention, more work is needed to examine DA impact on enrollment and retention. IMPLICATIONS FOR PRACTICE: This paper describes evidence regarding a decision tool to support patients' decisions about trial participation. By improving knowledge, helping patients clarify preferences for participation, and facilitating conversations about trials, decision aids could lead to decisions about participation that better match patients' preferences, promoting patient-centered care and the ethical conduct of clinical research.

Indexed as

Clinical Trials as TopicDecision Support TechniquesPatient ParticipationAdultAgedAged, 80 and overDecision MakingFemaleHumansMaleMiddle AgedNeoplasmsPatient-Centered CarePatient PreferenceClinical trialsDecision aidsInformed decision making

Identifiers

PMID27511904
PMCPMC5153351

What OpenQuestion holds

Textmetadata
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.