Evidence mapPaperPMID 40529555Full record

ArticleFrontiers in cardiovascular medicine2025

Baseline atrial volume indices and major adverse cardiac events following thoracic radiotherapy.

Edmund M Qiao, John He, Katrina D Silos, Jordan O Gasho, Patrick Belen, Danielle S Bitterman, Elizabeth McKenzie, Jennifer Steers, Christian Guthier, Anju Nohria and 5 more

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2025. 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
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

1 citing paper in PubMed.

  1. 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

15 authors.

Edmund M QiaoDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, United States.
John HeDepartment of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, MA, United States.
Katrina D SilosDepartment of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
Jordan O GashoDepartment of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
Patrick BelenDepartment of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
Danielle S BittermanDepartment of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, MA, United States.
Elizabeth McKenzieDepartment of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
Jennifer SteersDepartment of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
Christian GuthierDepartment of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, MA, United States.
Anju NohriaDepartment of Cardiovascular Medicine, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, MA, United States.
Michael T LuDepartment of Radiology, Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
Hugo J W L AertsDepartment of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, MA, United States.
Andriana P NikolovaDepartment of Cardiology, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
Raymond H MakDepartment of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, MA, United States.
Katelyn M AtkinsDepartment of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Patients receiving thoracic radiotherapy (RT) have an increased risk of major adverse cardiac events (MACE) posttreatment. We utilized machine learning (ML) to discover novel predictors of MACE and validated them on an external cohort. Methods: This multi-institutional retrospective study included 984 patients [ Results: In the discovery dataset ( Discussion: ML modeling identified right and left atrial enlargement as novel radiographic predictors for increased risk of MACE following chest radiotherapy, which was validated in independent breast and lung cancer datasets. Given that echocardiography studies have demonstrated the prognostic utility of atrial volume indices across cardiovascular risk groups, these findings warrant further study to identify additional strategies for upfront cardiovascular risk profiling.

Indexed as

atrial volumebreastlungmajor adverse cardiac eventsoncologyradiation oncologyradiotherapy

Identifiers

PMID40529555
PMCPMC12170593

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.