Evidence map›Paper›PMID 34801801›Full record

ArticleThe Journal of surgical research2022

Using Tailored Messages to Target Overuse of Low-Value Breast Cancer Care in Older Women.

Lesly A Dossett, Nicole M Mott, Brooke C Bredbeck, Ton Wang, Chad Tc Jobin, Tasha M Hughes, Sarah T Hawley, Brian J Zikmund-Fisher

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in The Journal of surgical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06896474 (SDM POSSIBLE), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.2field-weighted citation impact, top 8% 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.

NCT06896474 narecruitingnot on this mapstarted 2026, after this paper: background citation

SDM POSSIBLE: A Cluster RCT of a Breast Cancer Treatment Decision Aid for Women 70+ With Low-Risk Stage I Breast Cancers

TypeinterventionalSponsorBeth Israel Deaconess Medical CenterRan2026 to 2033Enrolled402ConditionsBreast CancerArmsShared Decision-Making Training and Decision Aid
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 19 citations in OpenAlex.

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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 at 1 institution in 1 country.

Lesly A DossettDepartment of Surgery, University of Michigan, Ann Arbor, Michigan; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan; Center for Bioethics and Social Sciences in Medicine (CBSSM), Ann Arbor, Michigan. Electronic address: ldossett@umich.edu.
Nicole M MottUniversity of Michigan Medical School, Ann Arbor, Michigan.
Brooke C BredbeckDepartment of Surgery, University of Michigan, Ann Arbor, Michigan; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan.
Ton WangDepartment of Surgery, University of Michigan, Ann Arbor, Michigan; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan.
Chad Tc JobinInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan.
Tasha M HughesDepartment of Surgery, University of Michigan, Ann Arbor, Michigan; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan; Center for Bioethics and Social Sciences in Medicine (CBSSM), Ann Arbor, Michigan.
Sarah T HawleyInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan; Center for Bioethics and Social Sciences in Medicine (CBSSM), Ann Arbor, Michigan; Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan; Department of Health Education and Health Behavior, University of Michigan, Ann Arbor, Michigan.
Brian J Zikmund-FisherCenter for Bioethics and Social Sciences in Medicine (CBSSM), Ann Arbor, Michigan; Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan; Department of Health Education and Health Behavior, University of Michigan, Ann Arbor, Michigan.
University of Michigan · US

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alexey I Nesvizhskii · 1988 to 2026
$178.2M
University of Michigan Surgical Oncology Research Training ProgramT32CA009672 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JACQUELINE SARA JERUSS, WEIPING ZOU · 1991 to 2026
$6.0M
Error Identification Between Health Systems—A Patient Safety Blind SpotK08HS026030 · AHRQ · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DOSSETT, LESLY A · 2018 to 2021
$604k
AHRQ HHS K08 HS026030NCI NIH HHS P30 CA046592NCI NIH HHS T32 CA009672
6 · The paper itself

Abstract

backgroundNational recommendations allow for the omission of sentinel lymph node biopsy (SLNB) and post-lumpectomy radiotherapy in women ≥ 70 y/o with early-stage, hormone-receptor positive invasive breast cancer, but these therapies remain common. Previous work demonstrates an individual's maximizing-minimizing trait-an inherent preference for more or less medical care-may influence the preference for low-value care. MATERIALS AND

methodsWe recruited an equal number of women ≥ 70 yrs who were maximizers, minimizers, or neutral based on a validated measure between September 2020 and November 2020. Participants were presented a hypothetical breast cancer diagnosis before randomization to one of three follow-up messages: maximizer-tailored, minimizer-tailored, or neutral. Tailored messaging aimed to redirect maximizers and minimizers toward declining SLNB and radiotherapy. The main outcome measure was predicted probability of choosing SLNB or radiotherapy.

resultsThe final analytical sample (n = 1600) was 515 maximizers (32%), 535 neutral (33%) and 550 (34%) minimizers. Higher maximizing tendency positively correlated with electing both SLNB and radiotherapy on logistic regression (P < 0.01). Any tailoring (maximizer- or minimizer-tailored) reduced preference for SLNB in maximizing and neutral women but had no effect in minimizing women. Tailoring had no impact on radiotherapy decision, except for an increased probability of minimizers electing radiotherapy when presented with maximizer-tailored messaging.

conclusionsMaximizing-minimizing tendencies are associated with treatment preferences among women facing a hypothetical breast cancer diagnosis. Targeted messaging may facilitate avoidance of low-value breast cancer care, particularly for SLNB.

Indexed as

Breast NeoplasmsAgedAxillaFemaleHumansLymph Node ExcisionMastectomy, SegmentalOutcome Assessment, Health CareSentinel Lymph Node BiopsyBreast cancerDe-implementationMaximizerMinimizerOlder women

Identifiers

PMID34801801
PMCPMC8734932
OpenAlexW3217384274

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.