Evidence map›Paper›PMID 24912611›Full record

ArticleAnnals of surgical oncology2014

Role of preoperative magnetic resonance imaging in the surgical management of early-stage breast cancer.

Sheenu Chandwani, Prethibha A George, Michelle Azu, Elisa V Bandera, Christine B Ambrosone, George G Rhoads, Kitaw Demissie

Open access · greenAbstract readComparative StudyMulticenter Study
In one paragraph

Article in Annals of surgical oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 4 pooled it
1.2field-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

17 citing papers in PubMed, 4 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Review
  7. The Canadian Breast Cancer Symposium 2023 Meeting Report.Current oncology (Toronto, Ont.) · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Observational
  14. Article
  15. Article
  16. Article
  17. Lobular breast cancer series: imaging.Breast cancer research : BCR · 2015
    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

7 authors at 4 institutions in 1 country.

Sheenu ChandwaniDepartment of Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA, sheenu.chandwani@rutgers.edu.
Prethibha A George
Michelle Azu
Elisa V Bandera
Christine B Ambrosone
George G Rhoads
Kitaw Demissie
Rutgers, The State University of New Jersey · USNew Jersey Institute of Technology · USRoswell Park Comprehensive Cancer Center · USRutgers Cancer Institute of New Jersey

Funding

Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI MARK G FRATTINI · 1985 to 2026
$116.6M
TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Chang S Chan · 1997 to 2026
$94.5M
Reproduction, Lactation and Hormonal Factors in Breast Cancer SubtypesP01CA151135 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI AMBROSONE, CHRISTINE B., OLSHAN, ANDREW · 2011 to 2017
$18.1M
Race &Risk Factors for Early/Aggressive Breast CancerR01CA100598 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI AMBROSONE, CHRISTINE B. · 2004 to 2008
$4.8M
DNA Methylation: a Mechanism for Aggressive Breast Cancer in African-American WomR01CA133264 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI AMBROSONE, CHRISTINE B., DEMISSIE, KITAW · 2010 to 2013
$3.6M
Obesity in ovarian cancer prognosisK22CA138563 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI BANDERA, ELISA V · 2010 to 2012
$605k
NCI NIH HHS K22 CA138563NCI NIH HHS P01 CA151135NCI NIH HHS P30 CA016056NCI NIH HHS P30 CA072720NCI NIH HHS P30CA072720NCI NIH HHS R01 CA100598NCI NIH HHS (R01CA133264NCI NIH HHS R01 CA133264
6 · The paper itself

Abstract

purposeTo examine the role of preoperative magnetic resonance imaging (pMRI) on time to surgery and rates of reoperation and contralateral prophylactic mastectomy (CPM) using a population-based study of New Jersey breast cancer patients.

methodsThe study included 289 African-American and 320 white women who participated in the Breast Cancer Treatment Disparity Study and underwent breast surgery for newly diagnosed early-stage breast cancer between 2005 and 2010. Patients were identified through rapid case ascertainment by the New Jersey State Cancer Registry. Association between pMRI and time to surgery was examined by using linear regression and, with reoperation and CPM, by using binomial regression.

resultsHalf (49.9 %) of the study population received pMRI, with higher use for whites compared with African-Americans (62.5 vs. 37.5 %). After adjusting for potential confounders, patients with pMRI versus those without experienced significantly longer time to initial surgery [geometric mean = 38.7 days; 95 % confidence interval (CI) 34.8-43.0; vs. 26.5 days; 95 % CI 24.3-29.0], a significantly higher rate of CPM [relative risk (RR) = 1.82; 95 % CI 1.06-3.12], and a nonsignificantly lower rate of reoperation (RR = 0.76; 95 % CI 0.54-1.08).

conclusionsPreoperative MRI was associated with significantly increased time to surgery and a higher rate of CPM, but it did not affect the rate of reoperation. Physicians and patients should consider these findings when making surgical decisions on the basis of pMRI findings.

Indexed as

Magnetic Resonance ImagingMastectomyAgedBlack or African AmericanBreast NeoplasmsCase-Control StudiesCohort StudiesFemaleFollow-Up StudiesHumansMiddle AgedNeoplasm StagingNew YorkPreoperative CarePrognosisWhite People

Identifiers

PMID24912611
PMCPMC4440653
OpenAlexW1994600617

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.