Evidence map›Paper›PMID 31186262›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2019

Incidence of Ductal Carcinoma

Marc D Ryser, Laura H Hendrix, Mathias Worni, Yiling Liu, Terry Hyslop, E Shelley Hwang

Open access · greenAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

25 citing papers in PubMed, 39 citations in OpenAlex.

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  13. Multi-omics portrait of ductal carcinoma in situ in young women.Breast cancer research and treatment · 2024
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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

6 authors at 3 institutions in 2 countries.

Marc D RyserDepartment of Population Health Sciences, Duke University Medical Center, Durham, North Carolina. marc.ryser@duke.edu.
Laura H HendrixDepartment of Biostatistics & Bioinformatics, Duke University Medical Center, Durham, North Carolina.
Mathias WorniDepartment of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Yiling LiuDuke Center for Applied Genomics & Precision Medicine, Duke University Medical Center, Durham, North Carolina.
Terry HyslopDepartment of Biostatistics & Bioinformatics, Duke University Medical Center, Durham, North Carolina.
E Shelley HwangDepartment of Surgery, Division of Advanced Oncologic and GI Surgery, Duke University Medical Center, Durham, North Carolina.
Duke University · USDuke Medical Center · USUniversity Hospital of Bern · CH

Funding

Women's Cancer Research ProgramP30CA014236 · NCI · DUKE UNIVERSITY · PI DONNA NIEDZWIECKI · 1985 to 2026
$174.8M
Comparative Modeling: Informing Breast Cancer Control Practice & PolicyU01CA152958 · NCI · GEORGETOWN UNIVERSITY · PI BERRY, DONALD A, DE KONING, HARRY J · 2010 to 2015
$7.6M
Modeling prostate cancer control: prevention, screening, treatment, followup careU01CA157224 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI DE KONING, HARRY J, ETZIONI, RUTH D · 2010 to 2014
$5.3M
Tissue Tension, RANK and Breast Cancer RiskR01CA222508 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HWANG, E.SHELLEY, WEAVER, VALERIE MARIE · 2018 to 2022
$2.8M
(PQC3) Genomic Diversity and Microenvironment as Drivers of Metastasis in DCISR01CA185138 · NCI · DUKE UNIVERSITY · PI HWANG, E.SHELLEY, MALEY, CARLO · 2014 to 2017
$2.0M
The Mathematics of Breast Cancer Overtreatment: Improving Treatment Choice through Effective Communication of Personalized Cancer RiskR00CA207872 · NCI · DUKE UNIVERSITY · PI RYSER, MARC · 2018 to 2020
$746k
The Mathematics of Breast Cancer Overtreatment: Improving Treatment Choice through Effective Communication of Personalized Cancer RiskK99CA207872 · NCI · DUKE UNIVERSITY · PI RYSER, MARC · 2016 to 2017
$318k
NCI NIH HHS K99 CA207872NCI NIH HHS P30 CA014236NCI NIH HHS R00 CA207872NCI NIH HHS R01 CA185138NCI NIH HHS R01 CA222508NCI NIH HHS U01 CA152958NCI NIH HHS U01 CA157224
6 · The paper itself

Abstract

backgroundIn absence of definitive molecular risk markers, clinical management of patients diagnosed with ductal carcinoma

methodsThe Surveillance, Epidemiology, and End Results registry was queried for patients diagnosed with DCIS from 2000 to 2014 (18 registries). Joinpoint regression analyses were used to compute age- and race-stratified trends in age-adjusted incidence of DCIS. The patterns of DCIS incidence were compared against mammography utilization data from the National Health Interview Survey.

resultsBetween 2000 and 2014, overall DCIS incidence in the U.S. population was stable (

conclusionsOverall DCIS incidence rates have remained stable between 2000 and 2014. However, subgroup analyses revealed an increase in incidence among both younger women and black women. IMPACT: DCIS incidence trends did not correlate with the mammography uptake patterns, suggesting that etiologic factors other than screening may be leading to an increased DCIS incidence in these groups.

Indexed as

AdultAgedAge FactorsBlack or African AmericanBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, Intraductal, NoninfiltratingFemaleHumansIncidenceMammographyMiddle AgedSEER ProgramUnited StatesWhite PeopleYoung Adult

Identifiers

PMID31186262
PMCPMC6679771
OpenAlexW2952693795

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.