Evidence map›Paper›PMID 33031706›Full record

ArticleThe British journal of radiology2021

Breast-iRRISC: a novel model for predicting the individualised lifetime risk of radiation-induced breast cancer from a single screening event.

Sahand Hooshmand, Warren M Reed, Mo'ayyad E Suleiman, Patrick C Brennan

Abstract read
In one paragraph

Article in The British journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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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

4 authors.

Sahand HooshmandFaculty of Medicine and Health, The University of Sydney, Cumberland Campus, 75 East St, Lidcombe, Sydney, NSW 2141, Australia.ORCID https://orcid.org/0000-0002-0288-5020
Warren M ReedFaculty of Medicine and Health, The University of Sydney, Cumberland Campus, 75 East St, Lidcombe, Sydney, NSW 2141, Australia.
Mo'ayyad E SuleimanFaculty of Medicine and Health, The University of Sydney, Cumberland Campus, 75 East St, Lidcombe, Sydney, NSW 2141, Australia.
Patrick C BrennanFaculty of Medicine and Health, The University of Sydney, Cumberland Campus, 75 East St, Lidcombe, Sydney, NSW 2141, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis work establishes the prototype of a new innovative risk model that aims to evaluate the total risk involved with screening mammography for each individual female. This has been specifically designed to accommodate any combination of lifetime screening regimes, using only the information gathered from a single mammographic examination.

methodsThis model prototype was developed with the aid of a large dataset of images from the Cancer Institute New South Wales (CINSW) with over 30,000 images from over 7000 examinations. Each examination is derived from a separate female.

resultsThis prototype which we have called Breast Individualised Risk of Radiation-Induced Screening Cancer (Breast-iRRISC) is a novel tool for the assessment of the lifetime risk involved with screening mammography. The results demonstrate the applicability of this approach to the various screening regimes utilised around the globe, in addition to the personalised screening frequency patterns females have undergone and are likely to receive in the future.

conclusionsThis unique tailored approach to risk assessment will further empower females and clinicians towards a more informed clinical decision process regarding future imaging pathways. It will also inform health policy decisions regarding alternate screening durations and intervals. ADVANCES IN KNOWLEDGE: Breast-iRRISC is a novel tool that provides females, clinicians and health policymakers around the globe with the ability to quantify the lifetime risk of radiation-induced breast cancer from screening mammography on an individual level from a single exposure.

Indexed as

Models, TheoreticalAdultAgedBreastBreast NeoplasmsFemaleHumansMammographyMiddle AgedNeoplasms, Radiation-InducedRisk Assessment

Identifiers

PMID33031706
PMCPMC7774682

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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.