Evidence map›Paper›PMID 37463809›Full record

Observational studyBMJ open2023

Protocol: Can coronary artery calcium score identified on thoracic planning CT scans be used and actioned to identify cancer survivors at high risk of cardiac events: A feasibility study in cancer survivors undergoing radiotherapy in Australia.

Jack Dalla Via, Nina Stewart, Mary A Kennedy, Daniel A Cehic, Peter Purnell, Joanne Toohey, Jamie Morton, Sabashini K Ramchand, Joshua R Lewis, Yvonne Zissiadis

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

10 authors at 3 institutions in 2 countries.

Jack Dalla Via *Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia j.dallavia@ecu.edu.au.ORCID 0000-0002-1815-0838
Nina Stewart *Radiation Oncology, GenesisCare, Perth, Western Australia, Australia.
Mary A KennedyNutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.
Daniel A CehicCardiology, Advara HeartCare, Adelaide, South Australia, Australia.
Peter PurnellCardiology, Advara HeartCare, Perth, Western Australia, Australia.
Joanne TooheyOncology, GenesisCare, Sydney, New South Wales, Australia.
Jamie MortonCardiology, Advara HeartCare, Adelaide, South Australia, Australia.
Sabashini K RamchandDepartment of Medicine, Endocrine Unit, Massachusetts General Hospital, Harvard University, Boston, Massachusetts, USA.
Joshua R LewisNutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.
Yvonne ZissiadisRadiation Oncology, GenesisCare, Perth, Western Australia, Australia.
Australian Centre for Heart Health · AUEdith Cowan University · AUHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionA coronary artery calcium (CAC) CT scan can identify calcified plaque and predict risk of future cardiac events. Cancer survivors undergoing thoracic radiotherapy routinely undergo a planning CT scan, which presents a unique opportunity to use already obtained medical imaging to identify those at the highest risk of cardiac events. While radiation therapy is an important modality for many cancer treatments, radiation dose to the heart in thoracic radiotherapy leads to cardiotoxicity and may accelerate pre-existing atherosclerosis. The primary aims of this study are to investigate the feasibility of using CAC scores calculated on thoracic radiotherapy planning CT scans to identify a subset of cancer survivors at an increased risk of future cardiac events, and to establish and evaluate a referral pathway for assessment and management in a cardio-oncology clinic. An optional substudy aims to investigate using abdominal aortic calcification (AAC) as a practical, low-radiation alternative to CAC to evaluate and monitor vascular health. METHODS AND ANALYSIS: This is an observational, prospective study in a minimum of 100 cancer survivors commencing radiotherapy. Participants will have CAC scored from thoracic radiotherapy planning CT scans. Those identified as high risk (CAC score>0) will be referred to a cardio-oncology clinic. Feasibility, determined by adherence to the recommended pathway, and impact on quality of life and anxiety measured via questionnaire, will be assessed. Participants in Western Australia will be invited to participate in a 12-month observational pilot substudy, investigating lifestyle behaviours and the use of a dual-energy X-ray absorptiometry machine to measure musculoskeletal health and AAC. ETHICS AND DISSEMINATION: Ethics approval has been obtained from St Vincent's Hospital, Sydney (Project number 2021/ETH11847), GenesisCare and Edith Cowan University (2022-03326-DALLAVIA). Study results will be reported in peer-reviewed academic journals, at scientific conferences, and at clinical forums, irrespective of the results observed. TRIAL REGISTRATION NUMBER: ACTRN12621001343897.

Indexed as

Cancer SurvivorsCoronary Artery DiseaseNeoplasmsCalciumCoronary VesselsFeasibility StudiesHumansProspective StudiesQuality of LifeRisk FactorsTomography, X-Ray ComputedCalciumcardiologycardiovascular imagingoncologyradiotherapy

Identifiers

PMID37463809
PMCPMC10357636
OpenAlexW4384649009

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.