Evidence map›Paper›PMID 35267613›Full record

ArticleCancers2022

The Impact of Radiation Dose to Heart Substructures on Major Coronary Events and Patient Survival after Chemoradiation Therapy for Esophageal Cancer.

Xin Wang, Nicolas L Palaskas, Brian P Hobbs, Jun-Ichi Abe, Kevin T Nead, Syed Wamique Yusuf, Joerg Hermann, Anita Deswal, Steven H Lin

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Cardiac substructure delineation in radiation therapy - A state-of-the-art review.Journal of medical imaging and radiation oncology · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. Incident Atrial Fibrillation and Survival Outcomes in Esophageal Cancer following Radiotherapy.International journal of radiation oncology, biology, physics · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Radiation-Induced Cardiovascular Toxicities.Current treatment options in oncology · 2022
    Review
  18. Article
  19. Review
  20. 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

9 authors at 3 institutions in 2 countries.

Xin WangDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Nicolas L PalaskasDepartment of Cardiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Brian P HobbsDepartment of Population Health, Dell Medical School, The University of Texas Austin, Austin, TX 78712, USA.
Jun-Ichi AbeDepartment of Cardiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Kevin T NeadDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Syed Wamique YusufDepartment of Cardiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Joerg HermannDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Anita DeswalDepartment of Cardiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Steven H LinDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0003-4411-0634
The University of Texas MD Anderson Cancer Center · USMayo Clinic in Arizona · USThe University of Texas at Austin · US

Funding

Mitigating radiation-induced cardiovascular disease by inhibiting premature agingU01AI156921 · NIAID · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ABE, JUN-ICHI · 2020 to 2024
$2.5M
NIAID NIH HHS U01 AI156921NIH HHS U01AI156921
6 · The paper itself

Abstract

Background: There is a paucity of data regarding the association between radiation exposure of heart substructures and the incidence of major coronary events (MCEs) in patients with esophageal cancer (ESOC) undergoing chemoradiation therapy. We studied radiation dosimetric determinants of MCE risk and measured their impact on patient prognosis using a cohort of ESOC patients treated at a single institution. Methods: Between March 2005 and October 2015, 355 ESOC patients treated with concurrent chemoradiotherapy were identified from a prospectively maintained and institutional-regulatory-board-approved clinical database. Dose-distribution parameters of the whole heart, the atria, the ventricles, the left main coronary artery, and three main coronary arteries were extracted for analysis. Results: Within a median follow-up time of 67 months, 14 patients experienced MCEs at a median of 16 months. The incidence of MCEs was significantly associated with the left anterior descending coronary artery (LAD) receiving ≥30 Gy (V30Gy) (p = 0.048). Patients receiving LAD V30Gy ≥ 10% of volume experienced a higher incidence of MCEs versus the LAD V30Gy < 10% group (p = 0.044). The relative rate of death increased with the left main coronary artery (LMA) mean dose (Gy) (p = 0.002). Furthermore, a mutual promotion effect of hyperlipidemia and RT on MCEs was observed. Conclusion: Radiation dose to coronary substructures is associated with MCEs and overall survival in patients with ESOC. In this study, the doses to these substructures appeared to be better predictors of toxicity outcomes than mean heart dose (MHD) or whole-heart V30Gy. These findings have implications for reducing coronary events through radiation therapy planning.

Indexed as

esophageal cancerheart substructuremajor coronary eventsradiotherapysurvival

Identifiers

PMID35267613
PMCPMC8909404
OpenAlexW4214805558

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.