Evidence map›Paper›PMID 27676595›Full record

ArticleAnnals of the American Thoracic Society2016

How Patients View Lung Cancer Screening. The Role of Uncertainty in Medical Decision Making.

Marilyn M Schapira, Charu Aggarwal, Scott Akers, Jaya Aysola, Diana Imbert, Corey Langer, Charlie B Simone, Emily Strittmatter, Anil Vachani, Liana Fraenkel

Abstract read
In one paragraph

Article in Annals of the American Thoracic Society, 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.

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  14. Preferences for Predictive Model Characteristics among People Living with Chronic Lung Disease: A Discrete Choice Experiment.Medical decision making : an international journal of the Society for Medical Decision Making · 2020
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  16. Challenges to Educating Smokers About Lung Cancer Screening: a Qualitative Study of Decision Making Experiences in Primary Care.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

5 · Who and what money

Authors and funding

10 authors.

Marilyn M Schapira1 Division of General Internal Medicine.
Charu Aggarwal3 Division of Hematology and Oncology, and.
Scott Akers5 Department of Radiology, and.
Jaya Aysola1 Division of General Internal Medicine.
Diana Imbert1 Division of General Internal Medicine.
Corey Langer3 Division of Hematology and Oncology, and.
Charlie B Simone6 Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Emily Strittmatter1 Division of General Internal Medicine.
Anil Vachani7 Division of Pulmonary, Allergy, and Critical Care, Department of Medicine, and.
Liana Fraenkel8 Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut; and.

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI SHELLEY L BERGER · 1985 to 2026
$222.3M
Informed Decision Making for Veterans Considering Lung Cancer ScreeningI21HX001334 · VA · PHILADELPHIA VA MEDICAL CENTER · PI SCHAPIRA, MARILYN M · 2014 to 2014
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HSRD VA I21 HX001334NCI NIH HHS P30 CA016520
6 · The paper itself

Abstract

rationaleRadiographic lung cancer screening guidelines and coverage requirements warrant a shared decision-making process. Guidance is needed regarding how to conduct shared decision making effectively. A useful organizing theme should include consideration of a patient's response to and tolerance of uncertainty associated with lung cancer screening.

objectivesThe objectives of this study are to: (1) describe how patients respond to specific categories of uncertainty in the context of lung cancer screening, and (2) inform strategies for addressing concerns about uncertainty as part of the shared decision making.

methodsWe performed two series of structured interviews on participants in a convenience sample of current or former cigarette smokers recruited from primary care and pulmonary practices in Philadelphia. An interview guide included prompts related to benefits, harms, and responses to general and specific types of uncertainty (stochastic, statistical, and evidentiary) associated with lung cancer screening. Interviews were audio-recorded, transcribed, and independently coded by two investigators. An inductive analysis was conducted, and major themes were identified. MEASUREMENTS AND MAIN

resultsTwenty-two adults participated in the study. Sixty-eight percent were men, 72% were black or African American, and 50% met U.S. Preventive Services Task Force criteria for lung cancer screening. The primary themes to emerge from our study were: (1) the desire to decrease uncertainty may motivate lung cancer screening decisions; (2) uncertainty is an attribute of health states that impacts how patients weigh benefits and harms of lung cancer screening; (3) patient understanding and tolerance of uncertainty varies across stochastic, statistical, and evidentiary uncertainty; and (4) provider-patient communication may mitigate intolerance of uncertainty in the context of lung cancer screening.

conclusionsA systematic approach to understanding and addressing patients' concerns about uncertainty in the context of lung cancer screening can guide a patient-centered approach to shared decision making. The results of this study can inform provider-patient communication strategies regarding the decision to perform radiographic lung cancer screening.

Indexed as

CommunicationDecision MakingPatient ParticipationUncertaintyAgedEarly Detection of CancerFemaleHumansInterviews as TopicLung NeoplasmsMaleMiddle AgedPhiladelphiaPhysician-Patient RelationsPractice Guidelines as TopicRadiographyambiguitycommunicationdecision makinglung cancer screeninguncertainty

Identifiers

PMID27676595
PMCPMC5122480

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.