Evidence map›Paper›PMID 36973756›Full record

ArticleCardio-oncology (London, England)2023

A novel cardio-oncology service line model in optimizing care access, quality and equity for large, multi-hospital health systems.

Yan Liu

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Article in Cardio-oncology (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
  4. Integrated Cardio-oncology Service.Cardiac failure review · 2026
    Review
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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

1 author.

Yan LiuCardio-Oncology Service Line, Ascension Texas, Austin, USA. yan.liu@austin.utexas.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the rapid growth of cardio-oncology as a subspecialty, cancer patients are still underserved from a cardiovascular perspective. A new care model is needed to integrate comprehensive cardio-oncology care with community-based facilities to improve care access, quality, and equity. Here, we present a cardio-oncology service line model for large, multi-hospital health systems to address this need.

methodsAn academic cardio-oncology program was first established using a multidisciplinary approach. Five infrastructure elements for a service line model were created, including strategic accountability, standardized care, dedicated resources, patient experience/education, and branding/identity. We then utilized these elements across our healthcare system to establish a quality-controlled and centrally governed cardio-oncology service line structure. Protocols were created to standardize care and ensure consistency and quality, including referral workflow, imaging, cardiotoxicity surveillance, and clinical management. An IRB-approved cardio-oncology registry was established for outcome tracking.

resultsThe standardized cardio-oncology services were expanded to eight hospitals and ten outpatient care centers, including rural outreach offices, resulting in increased patient access and improved clinical quality measures. The service area expanded 17-fold, and an estimated rural population of 204,133 gained access to care. Cardio-oncology office visits increased by approximately 600% three years after implementation of the service line model.

conclusionsA cardio-oncology service line with standardized care is a feasible and effective care model to improve cardio-oncology care quality, patient access, and health equity in large, multi-hospital health systems. It can be used in conjunction with academic cardio-oncology programs to improve the overall cardio-oncology healthcare efficacy in the US.

Identifiers

PMID36973756
PMCPMC10041762

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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.