Evidence map›Paper›PMID 41020449›Full record

Trial reportMedical decision making : an international journal of the Society for Medical Decision Making2026

Does Messaging for Reducing Breast Cancer Overscreening in Older Women Have Differential Responses among Medical Minimizers and Maximizers?

Nancy L Schoenborn, Sarah E Gollust, Rebekah H Nagler, Mara A Schonberg, Cynthia M Boyd, Qian-Li Xue, Yaldah M Nader, Craig E Pollack

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Medical decision making : an international journal of the Society for Medical Decision Making, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Nancy L SchoenbornJohns Hopkins University School of Medicine, Department of Medicine, Division of Geriatric Medicine and Gerontology, Baltimore, MD, USA.ORCID 0000-0001-5053-5132
Sarah E GollustUniversity of Minnesota School of Public Health, Division of Health Policy and Management, Minneapolis, MN, USA.
Rebekah H NaglerUniversity of Minnesota Hubbard School of Journalism and Mass Communication, Minneapolis, MN, USA.
Mara A SchonbergBeth Israel Deaconess Medical Center, Harvard Medical School, Division of General Medicine and Primary Care, Boston, MA, USA.ORCID 0000-0001-5162-5922
Cynthia M BoydJohns Hopkins University School of Medicine, Department of Medicine, Division of Geriatric Medicine and Gerontology, Baltimore, MD, USA.
Qian-Li XueJohns Hopkins University School of Medicine, Department of Medicine, Division of Geriatric Medicine and Gerontology, Baltimore, MD, USA.
Yaldah M NaderJohns Hopkins University School of Medicine, Department of Medicine, Division of Geriatric Medicine and Gerontology, Baltimore, MD, USA.
Craig E PollackJohns Hopkins University Bloomberg School of Public Health, Department of Health Policy and Management, Baltimore, MD, USA.

Funding

Messaging Strategies to Reduce Breast Cancer Over-Screening in Older WomenR01AG066741 · NIA · JOHNS HOPKINS UNIVERSITY · PI SCHOENBORN, NANCY · 2021 to 2024
$2.3M
Patient-Centered Care for Older Adults with Multiple Chronic Conditions: Research and Mentoring ProgramK24AG056578 · NIA · JOHNS HOPKINS UNIVERSITY · PI BOYD, CYNTHIA MELINDA · 2017 to 2021
$1.1M
NIA NIH HHS K24 AG056578NIA NIH HHS R01 AG066741
6 · The paper itself

Abstract

BackgroundMessaging strategies hold promise to reduce breast cancer overscreening. However, it is not known whether they may have differential effects among medical maximizers who prefer to take action about their health versus medical minimizers who prefer to wait and see.MethodsIn a randomized controlled survey experiment that included 2 sequential surveys with 3,041 women aged 65+ y from a US population-based online panel, we randomized participants to 1) no messages, 2) single exposure to a screening cessation message, or 3) 2 exposures over time to the screening cessation message. We assessed support for stopping screening in a hypothetical patient and intention to stop screening oneself on 7-point scales, where higher values indicated stronger support and intentions to stop screening. We conducted stratified analyses by medical-maximizing preference and moderation analysis.ResultsOf the women, 40.7% (

Indexed as

Breast NeoplasmsEarly Detection of CancerMass ScreeningAgedFemaleHumansIntentionSurveys and Questionnairesbreast cancer screeningolder adultscreening cessation

Identifiers

PMID41020449
PMCPMC12679435

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.