Evidence map›Paper›PMID 27287780›Full record

ArticleBreast cancer research and treatment2016

Preoperative breast magnetic resonance imaging and contralateral breast cancer occurrence among older women with ductal carcinoma in situ.

Shi-Yi Wang, Jessica B Long, Brigid K Killelea, Suzanne B Evans, Kenneth B Roberts, Andrea Silber, Cary P Gross

Open access · greenAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. RNA-Sequence Analysis Reveals Differentially Expressed Genes (DEGs) in Patients Exhibiting Different Risks of Tumor Metastasis.Medical science monitor : international medical journal of experimental and clinical research · 2017
    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 1 institution in 1 country.

Shi-Yi WangDepartment of Chronic Disease Epidemiology, Yale University School of Public Health, 60 College Street, P.O. Box 208034, New Haven, CT, 06520, USA. shiyi.wang@yale.edu.ORCID http://orcid.org/0000-0002-3294-5784
Jessica B LongCancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale Cancer Center and Yale University School of Medicine, New Haven, CT, USA.
Brigid K KilleleaCancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale Cancer Center and Yale University School of Medicine, New Haven, CT, USA.
Suzanne B EvansCancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale Cancer Center and Yale University School of Medicine, New Haven, CT, USA.
Kenneth B RobertsCancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale Cancer Center and Yale University School of Medicine, New Haven, CT, USA.
Andrea SilberCancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale Cancer Center and Yale University School of Medicine, New Haven, CT, USA.
Cary P GrossCancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale Cancer Center and Yale University School of Medicine, New Haven, CT, USA.
Yale Cancer Center · US

Funding

Yale Pathology Tissue Services Shared ResourceP30CA016359 · NCI · YALE UNIVERSITY · PI MARCUS W BOSENBERG · 1985 to 2026
$85.0M
NCI NIH HHS N01 PC035136NCI NIH HHS N01 PC035139NCI NIH HHS N02 PC015105NCI NIH HHS P30 CA016359
6 · The paper itself

Abstract

Although preoperative magnetic resonance imaging (MRI) can detect mammographically occult contralateral breast cancers (CBCs) among women with ductal carcinoma in situ (DCIS), the impact of MRI on the incidence of subsequent CBC events is unclear. We examined whether MRI use decreases CBC occurrences and detection of invasive disease among women who develop a CBC. Utilizing the Surveillance, Epidemiology, and End Results-Medicare dataset, we assessed overall, synchronous (<6 months after primary cancer diagnosis), and subsequent (≥6 months after diagnosis, i.e., metachronous) CBC occurrence in women aged 67-94 years diagnosed with DCIS during 2004-2009, with follow-up through 2011. We applied a matched propensity score approach to compare the stage-specific incidence rate of CBC according to MRI use. Our sample consisted of 9166 beneficiaries, 1258 (13.7 %) of whom received preoperative MRI. After propensity score matching, preoperative MRI use was significantly associated with a higher synchronous CBC detection rate (108.6 vs. 29.7 per 1000 person-years; hazard ratio [HR] = 3.65; p < .001) with no significant differences in subsequent CBC rate (6.7 vs. 6.8 per 1000 person-years; HR = 0.90; p = .71). The 6-year cumulative incidence of any CBC (in situ plus invasive) remained significantly higher among women undergoing MRI, compared with those not undergoing MRI (9 vs. 4 %, p < .001). Women undergoing MRI also had a higher incidence of invasive CBC (4 vs. 3 %, p = .04). MRI use resulted in an increased detection of synchronous CBC but did not prevent subsequent CBC occurrence, suggesting that many of the undetected CBC lesions may not become clinically evident.

Indexed as

AgedAged, 80 and overBreastBreast NeoplasmsCarcinoma, Intraductal, NoninfiltratingFemaleHumansIncidenceMagnetic Resonance ImagingNeoplasms, Multiple PrimaryNeoplasms, Second PrimaryPreoperative CarePropensity ScoreRetrospective StudiesSEER ProgramContralateral breast cancer occurrenceDuctal carcinoma in situEarly detectionMagnetic resonance imagingOverdiagnosis

Identifiers

PMID27287780
PMCPMC5554869
OpenAlexW2419383549

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.