Evidence map›Paper›PMID 26442791›Full record

Trial reportMedical decision making : an international journal of the Society for Medical Decision Making2016

Shared Medical Decision Making in Lung Cancer Screening: Experienced versus Descriptive Risk Formats.

Liana Fraenkel, Ellen Peters, Shea Tyra, David Oelberg

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Medical decision making : an international journal of the Society for Medical Decision Making, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 11% of its field
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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.

  1. Knowledge translation strategies to enhance lung cancer screening programme implementation: a systematic review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2025
    Pooled it
  2. Insufficient evidence for interactive or animated graphics for communicating probability.Journal of the American Medical Informatics Association : JAMIA · 2024
    Pooled it
  3. Trial
  4. The Impact of 4 Risk Communication Interventions on Cancer Screening Preferences and Knowledge.Medical decision making : an international journal of the Society for Medical Decision Making · 2022
    Trial
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  9. Article
  10. A Description-Experience Framework of the Psychology of Risk.Perspectives on psychological science : a journal of the Association for Psychological Science · 2022
    Article
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  17. Review
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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

4 authors at 2 institutions in 1 country.

Liana FraenkelDepartment of Medicine, Yale University School of Medicine, New Haven, CT (LF)
Ellen PetersDepartment of Psychology, Ohio State University, Columbus, OH (EP)
Shea TyraDepartment of Medicine, Western Connecticut Health Network, Danbury, CT (ST, DO)
David OelbergDepartment of Medicine, Western Connecticut Health Network, Danbury, CT (ST, DO)
Western Connecticut Health Network · USThe Ohio State University · US

Funding

Improving Decision Making in Patients with Rheumatic DiseaseK24AR060231 · NIAMS · YALE UNIVERSITY · PI FRAENKEL, LIANA · 2011 to 2018
$1.2M
NIAMS NIH HHS AR060231-01NIAMS NIH HHS K24 AR060231
6 · The paper itself

Abstract

backgroundAnnual lung cancer screening using low-dose computed tomography (LDCT) scans is associated with a survival benefit, but it is also associated with potential harm. Unlike descriptive probability formats, experienced tasks have been shown to decrease perceptions of rare events. The objective of this study was to compare descriptive versus experienced probability formats on patients' knowledge, beliefs, endorsement of screening for heavy smokers, and preference (choice predisposition) to undergo screening.

methodsA total of 276 patients attending an outpatient pulmonary practice were randomized to learn about screening using 1 of 3 formats: numbers only, numbers + icon arrays, numbers + a set of slides illustrating LDCT scans of 250 people in random order that displayed the number of normal scans, false-positive lung nodules, cancers found leading to a life saved, and cancers found leading to death despite treatment.

resultsKnowledge differed between the 3 formats (P= 0.001), with participants randomized to the numbers + icon array format having the highest knowledge score. Beliefs were more favorable among participants randomized to the numbers + experienced format compared with the numbers + icon array format (difference between means [95% confidence interval]= 1.6 [0.4-2.8]). Differences in participants' endorsement of screening (P= 0.4) and choice predisposition (P= 0.6) across probability format mirrored those of beliefs but were not statistically significant. DISCUSSION: Contrary to what we expected, the experienced format increased propensity toward screening compared with the numbers + icon array format, as indicated by more favorable beliefs and nonsignificant trends toward stronger choice predisposition and endorsement. Experienced risk formats may not be a practical approach to improve risk communication for patients deciding whether or not to undergo annual lung cancer screening.

Indexed as

Decision Support TechniquesAgedChoice BehaviorClinical Decision-MakingEarly Detection of CancerFemaleHealth Knowledge, Attitudes, PracticeHealth StatusHumansLung NeoplasmsMaleMiddle AgedPatient Education as TopicPatient ParticipationProbabilityPulmonary Disease, Chronic Obstructivedecision makinglung cancer screeningrisk communication

Identifiers

PMID26442791
PMCPMC4818196
OpenAlexW2326063035

What OpenQuestion holds

Textmetadata
LicenceTDM
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.