Evidence map›Paper›PMID 28603859›Full record

ArticleCancer2017

Disparities in abnormal mammogram follow-up time for Asian women compared with non-Hispanic white women and between Asian ethnic groups.

Kim H Nguyen, Rena J Pasick, Susan L Stewart, Karla Kerlikowske, Leah S Karliner

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 23% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

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  17. Mammogram Adherence Among Filipino American Women.Journal of immigrant and minority health · 2022
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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

5 authors at 3 institutions in 1 country.

Kim H NguyenDivision of General Internal Medicine, Department of Medicine, University of California at San Francisco, San Francisco, California.
Rena J PasickDivision of General Internal Medicine, Department of Medicine, University of California at San Francisco, San Francisco, California.
Susan L StewartDivision of Biostatistics, Department of Public Health Sciences, University of California at Davis, Davis, California.
Karla KerlikowskeGeneral Internal Medicine Section, San Francisco Veteran Affairs Medical Center, San Francisco, California.
Leah S KarlinerDivision of General Internal Medicine, Department of Medicine, University of California at San Francisco, San Francisco, California.ORCID http://orcid.org/0000-0003-2204-5114
San Francisco General Hospital · USSan Francisco VA Medical Center · USUniversity of California, Davis · US

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Laura Marcu · 2002 to 2026
$84.9M
Risk-based Imaging Strategies to Improve Breast Cancer Surveillance OutcomesP01CA154292 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Diana L Miglioretti · 2011 to 2026
$52.9M
Disparities in Abnormal Mammogram Follow-up: Actionable Communication and Care Coordination StrategiesR21CA195429 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KARLINER, LEAH S · 2016 to 2017
$379k
NCI NIH HHS P01 CA154292NCI NIH HHS P30 CA093373NCI NIH HHS R21 CA195429
6 · The paper itself

Abstract

backgroundDelays in abnormal mammogram follow-up contribute to poor outcomes. In the current study, the authors examined differences in abnormal screening mammogram follow-up between non-Hispanic white (NHW) and Asian women.

methodsThe authors used a prospective cohort of NHW and Asian women with a Breast Imaging, Reporting and Data System (BI-RADS) abnormal result of category 0 or 3-plus in the San Francisco Mammography Registry between 2000 and 2010. Kaplan-Meier estimation for the median number of days to follow-up with a diagnostic radiologic test was performed, and the authors compared the percentage of women with follow-up at 30 days, 60 days, and 90 days and no follow-up at 1 year for Asian women overall (and Asian ethnic groups) and NHW women. In addition, the authors assessed the relationship between race/ethnicity and time to follow-up with adjusted Cox proportional hazards models.

resultsAmong Asian women, Vietnamese and Filipina women had the longest, and Japanese women the shortest, median follow-up (32 days, 28 days, and 19 days, respectively) compared with NHW women (15 days). The percentage of women receiving follow-up at 30 days was lower for Asians versus NHWs (57% vs 77%; P<.0001), and these disparities persisted at 60 days and 90 days for all Asian ethnic groups except Japanese. Asian women had a reduced hazard of follow-up compared with NHW women (adjusted hazard ratio, 0.70; 95% confidence interval, 0.69-0.72). Asian women also had a higher rate of receiving no follow-up compared with NHW women (15% vs 10%; P<.001); among Asian ethnic groups, Filipinas were found to have the highest percentage of women with no follow-up (18.1%).

conclusionsAsian women, particularly Filipina and Vietnamese women, were less likely than NHW women to receive timely follow-up after an abnormal screening mammogram. Research should disaggregate Asian ethnicity to better understand and address barriers to effective cancer prevention. Cancer 2017;123:3468-75. © 2017 American Cancer Society.

Indexed as

AsianBreast NeoplasmsCohort StudiesEarly Detection of CancerFemaleFollow-Up StudiesHealthcare DisparitiesHumansKaplan-Meier EstimateMammographyMiddle AgedMultivariate AnalysisNeeds AssessmentProportional Hazards ModelsRegistriesRetrospective Studiesabnormal mammogramAsianbreast cancerethnicityhealth care disparity

Identifiers

PMID28603859
PMCPMC5648644
OpenAlexW2623289191

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.