Evidence map›Paper›PMID 35237670›Full record

ArticleFrontiers in cardiovascular medicine2021

Percutaneous Coronary Intervention in Patients With Gynecological Cancer: Machine Learning-Augmented Propensity Score Mortality and Cost Analysis for 383,760 Patients.

Nicole Thomason, Dominique J Monlezun, Awad Javaid, Alexandru Filipescu, Efstratios Koutroumpakis, Fisayomi Shobayo, Peter Kim, Juan Lopez-Mattei, Mehmet Cilingiroglu, Gloria Iliescu and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Coronary Revascularization in Patients With Cancer.Current treatment options in cardiovascular medicine · 2023
    Review
  4. 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

13 authors at 4 institutions in 1 country.

Nicole ThomasonDivision of Cardiology, The University of Texas Health Sciences Center at Houston, Houston, TX, United States.
Dominique J MonlezunDepartment of Cardiology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States.
Awad JavaidDepartment of Internal Medicine, University of Nevada Las Vegas School of Medicine, Las Vegas, NV, United States.
Alexandru FilipescuDivision of Cardiology, The University of Texas Health Sciences Center at Houston, Houston, TX, United States.
Efstratios KoutroumpakisDepartment of Cardiology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States.
Fisayomi ShobayoDivision of Cardiology, The University of Texas Health Sciences Center at Houston, Houston, TX, United States.
Peter KimDepartment of Cardiology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States.
Juan Lopez-MatteiDepartment of Cardiology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States.
Mehmet CilingirogluDepartment of Internal Medicine, University of Nevada Las Vegas School of Medicine, Las Vegas, NV, United States.
Gloria IliescuDepartment of Internal Medicine, The University of Texas Health Sciences Center at Houston, Houston, TX, United States.
Kostas MarmagkiolisDivision of Cardiovascular Disease, University of Arkansas for Medical Sciences, Little Rock, AR, United States.
Pedro T RamirezDepartment of GynOnc and Reproductive Medicine, The University of Texas Health Sciences Center at Houston, Houston, TX, United States.
Cezar IliescuDepartment of Cardiology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States.
The University of Texas Health Science Center at Houston · USThe University of Texas MD Anderson Cancer Center · USUniversity of Nevada, Las Vegas · USUniversity of Arkansas for Medical Sciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the growing number of patients with both coronary artery disease and gynecological cancer, there are no nationally representative studies of mortality and cost effectiveness for percutaneous coronary interventions (PCI) and this cancer type.

methodsBackward propagation neural network machine learning supported and propensity score adjusted multivariable regression was conducted for the above outcomes in this case-control study of the 2016 National Inpatient Sample (NIS), the United States' largest all-payer hospitalized dataset. Regression models were fully adjusted for age, race, income, geographic region, cancer metastases, mortality risk, and the likelihood of undergoing PCI (and also with length of stay [LOS] for cost). Analyses were also adjusted for the complex survey design to produce nationally representative estimates. Centers for Disease Control and Prevention (CDC)-based cost effectiveness ratio (CER) analysis was performed.

resultsOf the 30,195,722 hospitalized patients meeting criteria, 1.27% had gynecological cancer of whom 0.02% underwent PCI including 0.04% with metastases. In propensity score adjusted regression among all patients, the interaction of PCI and gynecological cancer (vs. not having PCI) significantly reduced mortality (OR 0.53, 95%CI 0.36-0.77;

conclusionThis large propensity score analysis suggests that PCI may cost inefficiently reduce mortality for gynecological cancer patients, amid income and geographic disparities in outcomes.

Indexed as

cardio oncologygynecological tumorsgynecologic malignanciesPCIpercutaneous coronary intervention

Identifiers

PMID35237670
PMCPMC8882615
OpenAlexW4213257320

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.