Evidence map›Paper›PMID 32160406›Full record

ArticleCancer medicine2020

Time to diagnostic resolution after an uncertain screening mammogram in an underserved population.

Anita J Kumar, Darcy Banco, Elise E Steinberger, Joanna Chen, RuthAnn Weidner, Shital Makim, Susan K Parsons

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07231159 (Building on Trust), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 44% 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.

NCT07231159 recruitingnot on this mapstarted 2025, after this paper: background citation

Building on Trust: Navigating Preventive Lung, Breast, and Prostate Cancer Screenings at Community Resource Spots

Typeobservational_patient_registrySponsorAdventHealthRan2025 to 2026Enrolled200ConditionsBreast Cancer, Lung Cancer (Diagnosis), Prostate CancerArmsreferral for definitive diagnosis based on their cancer screening results, Engagement
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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

7 authors at 2 institutions in 1 country.

Anita J KumarInstitute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA.ORCID 0000-0002-8704-0296
Darcy BancoInstitute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA.
Elise E SteinbergerInstitute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA.
Joanna ChenInstitute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA.
RuthAnn WeidnerInstitute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA.
Shital MakimDepartment of Radiology, Tufts Medical Center, Boston, MA, USA.
Susan K ParsonsInstitute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA.ORCID 0000-0003-0282-6490
Tufts Medical Center · USTufts University · US

Funding

Tufts Clinical and Translational Science Institute (Pilot Supplement)UL1TR002544 · NCATS · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2018 to 2022
$50.2M
CTSA Graduate ProgramTL1TR002546 · NCATS · TUFTS UNIVERSITY BOSTON · PI KENT, DAVID M · 2018 to 2022
$4.2M
NCATS NIH HHS TL1 TR002546NCATS NIH HHS UL1 TR002544
6 · The paper itself

Abstract

backgroundScreening mammography has reduced breast cancer-associated mortality worldwide. Approximately 10% of patients require further diagnostic testing after an uncertain screening mammogram (Breast imaging reporting and data system [BI-RADS] = 0), and time to diagnostic resolution varies after BI-RADS = 0 screening mammogram. There is little data about factors associated with diagnostic resolution in patients of Chinese origin ("Chinese") receiving care in the US.

methodsWe performed a retrospective analysis to identify patterns of diagnostic resolution in an urban US hospital with a large population of Chinese patients. We evaluated whether location of primary care provider (PCP) impacted time to resolution among Chinese patients, hypothesizing that patients with a PCP outside of the hospital would have longer time to diagnostic resolution than those patients with a PCP within the institution.

resultsBetween 2015 and 2016, 368 patients at Tufts Medical Center (Tufts MC) had resulting BI-RADS = 0 after screening mammogram. The majority of patients (341/368, 93%) achieved diagnostic resolution with median time to resolution 27 days (Q1: 14, Q3: 40). Seven percent (27/368) never achieved resolution. Among those with diagnostic resolution, 10% of patients required >60 days to achieve resolution. Chinese origin, no previous breast cancer, subsidized insurance, and outside referring physician were associated with longer time to resolution in univariable analysis. In multivariable regression, after adjusting for age, insurance, marital status, and prior breast cancer, Chinese patients with Tufts MC PCP experienced timelier diagnostic resolution vs Chinese patients without a Tufts MC PCP (hazard ratio [HR] = 1.85, P = .02). Location of PCP did not impact time to resolution among non-Chinese patients.

conclusionWe identified patterns of diagnostic resolution in an urban hospital with a large historically underserved population. We found that Chinese patients without integrated primary care within the institution are at risk for delayed diagnostic resolution. Future interventions need to target at-risk patients to prevent loss of follow-up after uncertain screening mammogram.

Indexed as

AgedBostonBreast NeoplasmsEarly Detection of CancerFemaleFollow-Up StudiesHealth PersonnelHumansMammographyMiddle AgedPrimary Health CareRetrospective StudiesTime FactorsVulnerable Populationsdiagnostic resolutionuncertain screening mammogram

Identifiers

PMID32160406
PMCPMC7196065
OpenAlexW3011310499

What OpenQuestion holds

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LicenceCC BY
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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.