Evidence map›Paper›PMID 35995395›Full record

ArticleJournal of cancer policy2022

Estimating lifetime risk for breast cancer as a screening tool for identifying those who would benefit from additional services among women utilizing mobile mammography.

John B Wetmore, Lyshsae Otarola, Lewis J Paulino, Brittney R Henry, Alec F Levine, Djeneba Kone, Jennifer Ulloa, Lina Jandorf, Laurie Margolies, Suzanne Vang

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 53% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.

  1. Mobile Cancer Screening Programs: A Systematic Review of Implementation Challenges and Population Access.International journal of environmental research and public health · 2026
    Pooled it
  2. Review
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

10 authors at 2 institutions in 1 country.

John B WetmoreDepartment of Population Health and Health Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. Electronic address: john.wetmore@mountsinai.org.
Lyshsae OtarolaDepartment of Population Health and Health Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Lewis J PaulinoDepartment of Population Health and Health Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Brittney R HenryDepartment of Population Health and Health Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Alec F LevineNYU Grossman School of Medicine, New York, NY 10016, USA.
Djeneba KoneDepartment of Population Health and Health Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Jennifer UlloaDepartment of Population Health and Health Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Lina JandorfDepartment of Population Health and Health Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Laurie MargoliesDepartment of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Suzanne VangDepartment of Population Health and Health Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Icahn School of Medicine at Mount Sinai · USNew York University · US

Funding

Training Program in Cancer Prevention and Control for Priority PopulationsT32CA225617 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Guy H Montgomery, JUAN P WISNIVESKY · 2018 to 2026
$2.6M
NCI NIH HHS T32 CA225617
6 · The paper itself

Abstract

backgroundTo estimate lifetime risk of breast cancer among women utilizing mobile mammography and to determine the proportion that might benefit from additional services, such as genetic counseling and educational programs.

methodsRetrospective analysis of electronic health records for 2214 women screened for breast cancer on a mobile mammography van was conducted. Participants answered questions about their demographic characteristics, breast health, and family history of cancer. Logistic regression analyses were used to assess the odds of being recommended for additional services by the Tyrer-Cuzick (TC) lifetime risk score.

resultsThe average TC ten-year risk score was 2.76 % ± 2.01 %, and the average TC lifetime risk score was 7.30 % ± 4.80 %. Using lifetime risk scores ≥ 10 %, it was determined that 444 patients (20.23 %) could be referred to additional services. Less than one percent of patients had been tested for the BRCA genes previously. The odds of being recommended for additional services by the TC model were significantly greater among those who were eligible for the New York Cancer Services Program (i.e., a proxy for lack of insurance) when compared to those who were ineligible (OR=1.31, 95 % CI: 1.03-1.66). After adjustment, screening borough and race/ethnicity were not significantly associated with being recommended for services.

conclusionGenetic counseling and education are some of the tools available to promote awareness and early detection of breast cancer; however, screening guidelines do not mandate genetic counseling or referrals for individuals at high-risk. POLICY SUMMARY: Patients and providers should have discussions about predicted TC lifetime risk scores at follow-up breast cancer screening appointments, as this is a missed opportunity to improve care at both fixed sites and mobile clinics.

Indexed as

Breast NeoplasmsEarly Detection of CancerFemaleHumansMammographyMass ScreeningRetrospective StudiesBreast cancerGenetic counselingHealth disparitiesLifetime risk modelingMobile mammography

Identifiers

PMID35995395
PMCPMC9729437
OpenAlexW4292854454

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.