Evidence mapPaperPMID 40464642Full record

ReviewOncotarget2025

Applying the unattainable triangle in cardio-oncology care: Balancing cost, quality, and time.

John Hoverson, Chirag Buch, Juan Ulloa-Rodriguez, Samuel Governor, Stella Pak, Prince Otchere

Abstract readReview
In one paragraph

Review in Oncotarget, 2025. 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

6 authors.

John HoversonDepartment of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA.
Chirag BuchDepartment of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA.
Juan Ulloa-RodriguezDepartment of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA.
Samuel GovernorDepartment of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA.
Stella PakDepartment of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA.
Prince OtchereDepartment of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The unattainable triangle, also known as the iron triangle or triple constraint, traditionally applied in business as a model for balancing time, cost, and quality, offers valuable insight into the field of cardio-oncology. Cardio-oncology merges cardiovascular care with cancer treatment, addressing the growing risk of cardiovascular complications in cancer patients. Similar to the business model, this specialty faces the challenge of providing timely, high-quality, and cost-effective care. The urgency of cancer treatment often strains cardiovascular assessments, while comprehensive care increases costs due to advanced diagnostics and specialized teams. Establishing a cardio-oncology center of excellence, where oncologists and cardiologists collaborate in real-time, can help balance these demands, enhance care coordination, and manage resource utilization effectively. This article explores how the specialty of cardio-oncology could deliver comprehensive, timely, and affordable patient care by applying the unattainable triangle method.

Indexed as

CardiologyCardiovascular DiseasesMedical OncologyNeoplasmsQuality of Health CareCardio-OncologyCost-Benefit AnalysisHealth Care CostsHumanscardiologycardio-oncologyoncologyquality improvement

Identifiers

PMID40464642
PMCPMC12137023

What Socratic holds

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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 Socratic graph.