Evidence map›Paper›PMID 27815748›Full record

ArticleBreast cancer research and treatment2017

A model for individualized risk prediction of contralateral breast cancer.

Marzana Chowdhury, David Euhus, Tracy Onega, Swati Biswas, Pankaj K Choudhary

Open access · greenAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 15% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
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  11. EBCC-13 manifesto: Balancing pros and cons for contralateral prophylactic mastectomy.European journal of cancer (Oxford, England : 1990) · 2023
    Review
  12. Article
  13. Tools for Contralateral Prophylactic Mastectomy Decision Making.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2022
    Article
  14. Review
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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.

Marzana ChowdhuryDepartment of Mathematical Sciences, University of Texas at Dallas, 800 W Campbell Rd, FO 35, Richardson, TX, 75080, USA.
David EuhusDivision of Surgical Oncology, Johns Hopkins University, Baltimore, USA.
Tracy OnegaDepartment of Community and Family Medicine, Geisel School of Medicine at Dartmouth, Hanover, USA.
Swati BiswasDepartment of Mathematical Sciences, University of Texas at Dallas, 800 W Campbell Rd, FO 35, Richardson, TX, 75080, USA. swati.biswas@utdallas.edu.
Pankaj K ChoudharyDepartment of Mathematical Sciences, University of Texas at Dallas, 800 W Campbell Rd, FO 35, Richardson, TX, 75080, USA. pankaj@utdallas.edu.
The University of Texas at Dallas · USDartmouth College · USJohns Hopkins University · US

Funding

WOMEN'S CANCERS RESEARCH PROGRAMP30CA118100 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Yolanda Sanchez · 2005 to 2026
$57.1M
CALIFORNIA COORDINATED CANCER PREVENTION & CONTROL PROGRAMU58DP003862 · DP · CALIFORNIA STATE DEPT OF PUBLIC HEALTH · PI SNIPES, KURT P · 2012 to 2014
$31.5M
A Model for Individualized Risk Prediction of Contralateral Breast CancerR21CA186086 · NCI · UNIVERSITY OF TEXAS DALLAS · PI BISWAS, SWATI, CHOUDHARY, PANKAJ · 2014 to 2015
$412k
SURVEILLANCE EPIDEMIOLOGY AND END RESULTSN01CN005230 · CN · FRED HUTCHINSON CANCER RESEARCH CENTER · PI THOMAS, DAVID B · 1990 to 1996
–
SURVEILLANCE EPIDEMIOLOGY &END RESULTS PROGRAMN01CN067009 · CN · FRED HUTCHINSON CANCER RESEARCH CENTER · PI THOMAS, DAVID B · 1996 to 1997
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COMMUNITY CLINICAL ONCOLOGY PROGRAMU10CA035138 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI JOHNSON, SCOTT S · 1985 to 1986
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NCCDPHP CDC HHS U58 DP003862NCI NIH HHS HHSN261201000029CNCI NIH HHS HHSN261201000034CNCI NIH HHS HHSN261201000035CNCI NIH HHS HHSN261201000035INCI NIH HHS HHSN261201000140CNCI NIH HHS HHSN261201100031CNCI NIH HHS HHSN261201300012INCI NIH HHS N01 CN005230NCI NIH HHS N01 CN067009NCI NIH HHS N01 PC035138NCI NIH HHS N01 PC035142NCI NIH HHS P30 CA118100NCI NIH HHS R21 CA186086
6 · The paper itself

Abstract

purposePatients diagnosed with invasive breast cancer (BC) or ductal carcinoma in situ are increasingly choosing to undergo contralateral prophylactic mastectomy (CPM) to reduce their risk of contralateral BC (CBC). This is a particularly disturbing trend as a large proportion of these CPMs are believed to be medically unnecessary. Many BC patients tend to substantially overestimate their CBC risk. Thus, there is a pressing need to educate patients effectively on their CBC risk. We develop a CBC risk prediction model to aid physicians in this task.

methodsWe used data from two sources: Breast Cancer Surveillance Consortium and Surveillance, Epidemiology, and End Results to build the model. The model building steps are similar to those used in developing the BC risk assessment tool (popularly known as Gail model) for counseling women on their BC risk. Our model, named CBCRisk, is exclusively designed for counseling women diagnosed with unilateral BC on the risk of developing CBC.

resultsWe identified eight factors to be significantly associated with CBC-age at first BC diagnosis, anti-estrogen therapy, family history of BC, high-risk pre-neoplasia status, estrogen receptor status, breast density, type of first BC, and age at first birth. Combining the relative risk estimates with the relevant hazard rates, CBCRisk projects absolute risk of developing CBC over a given period.

conclusionsBy providing individualized CBC risk estimates, CBCRisk may help in counseling of BC patients. In turn, this may potentially help alleviate the rate of medically unnecessary CPMs.

Indexed as

Models, StatisticalAdolescentAdultAgedAged, 80 and overBreast NeoplasmsFemaleHumansMiddle AgedProportional Hazards ModelsRisk AssessmentRisk FactorsSEER ProgramYoung AdultAbsolute riskBreast Cancer Surveillance ConsortiumBreast densityCBCRiskContralateral breast cancerSEER

Identifiers

PMID27815748
PMCPMC5224985
OpenAlexW2546451452

What OpenQuestion holds

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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.