Evidence map›Paper›PMID 41922897›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2026

Multimodality treatment and survival in primary cardiac malignancies: evidence from competing-risk and machine learning analyses.

Md Roungu Ahmmad, Morshed Alam, Michael Baine, Md Tareq Ferdous Khan

Abstract read
In one paragraph

Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Md Roungu AhmmadCollege of Nursing, USF-Health, University of South Florida, Tampa, FL, USA.
Morshed AlamMerck & Co., Inc., Rahway, NJ, USA.
Michael BaineDepartment of Radiation Oncology, University of Nebraska Medical Center, Omaha, NE, USA.
Md Tareq Ferdous KhanDepartment of Public Health Sciences, College of Behavioral, Social and Health Sciences, Clemson University, Clemson, SC, USA. mtkhan@clemson.edu.ORCID http://orcid.org/0000-0002-2460-0604

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrimary cardiac malignancies are rare and highly aggressive, with limited clinical evidence to guide optimal treatment. This study evaluated the association between multimodal treatments and survival outcomes under competing-risk conditions.

methodsA retrospective cohort analysis was conducted using SEER-18 data (2000-2018) to identify patients with cardiac malignancies. Overall survival and cause-specific mortality were assessed using Kaplan-Meier and Fine-Gray competing-risk models. Multimodal treatment effects were examined using adjusted regression analyses. Prognostic performance was further evaluated using machine learning methods, including random survival forests and survival trees, with discrimination, calibration, and Brier scores assessed in a validation cohort.

resultsAmong 416 patients, angiosarcoma predominated, most had regional/distant disease, surgery and chemotherapy were common, and over 80% experienced either primary cardiac malignancy-specific mortality or other-cause mortality. Chemotherapy plus surgery was associated with lower primary cardiac malignancy-specific mortality (AHR: 0.72; 95% CI 0.54-0.95) and other-cause mortality (AHR: 0.58; 95% CI 0.36-0.93). Surgery with radiotherapy was not significantly associated with primary cardiac malignancy-specific survival but with lower other-cause mortality (AHR: 0.44; 95% CI 0.22-0.87). Compared with surgery alone, multimodal combinations were not significantly associated with primary cardiac malignancy-specific mortality; however, surgery with chemotherapy (AHR: 0.54), surgery with radiation (AHR: 0.29), and triple therapy (AHR: 0.34) were linked to lower other-cause mortality. Regression tree revealed age- and stage-specific heterogeneity, with greater survival likelihood among patients ≤ 65 years with regional/distant disease who underwent surgery.

conclusionSurgery, particularly when combined with chemotherapy, was associated with improved outcomes. Benefits varied by age and stage, underscoring the need for individualized multimodal treatment strategies.

Indexed as

Heart NeoplasmsMachine LearningAgedCombined Modality TherapyFemaleHumansMaleMiddle AgedPrognosisRandom ForestRetrospective StudiesRisk AssessmentSEER ProgramSurvival RateCompeting risksMachine learningPrimary cardiac malignanciesSurvival analysisTreatment modality

Identifiers

PMID41922897
PMCPMC13499859

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.