Evidence map›Paper›PMID 35888578›Full record

ArticleMedicina (Kaunas, Lithuania)2022

Fractional Flow Reserve Cardio-Oncology Effects on Inpatient Mortality, Length of Stay, and Cost Based on Malignancy Type: Machine Learning Supported Nationally Representative Case-Control Study of 30 Million Hospitalizations.

Siddharth Chauhan, Dominique J Monlezun, Jin Wan Kim, Harsh Goel, Alex Hanna, Kenneth Hoang, Nicolas Palaskas, Juan Lopez-Mattei, Saamir Hassan, Peter Kim and 3 more

Open access · goldAbstract read
In one paragraph

Article in Medicina (Kaunas, Lithuania), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Coronary Revascularization in Patients With Cancer.Current treatment options in cardiovascular medicine · 2023
    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 2 institutions in 1 country.

Siddharth ChauhanDepartment of Cardiology, University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Dominique J MonlezunDepartment of Cardiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0001-7671-1886
Jin Wan KimDepartment of Cardiology, University of Texas Health Science Center at Houston, Houston, TX 77030, USA.ORCID 0000-0003-2478-1975
Harsh GoelDepartment of Cardiology, University of Texas Health Science Center at Houston, Houston, TX 77030, USA.ORCID 0000-0001-6296-6503
Alex HannaDepartment of Cardiology, University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Kenneth HoangDepartment of Cardiology, University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Nicolas PalaskasDepartment of Cardiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Juan Lopez-MatteiDepartment of Cardiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Saamir HassanDepartment of Cardiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Peter KimDepartment of Cardiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Mehmet CilingirogluDepartment of Cardiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Konstantinos MarmagkiolisDepartment of Cardiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Cezar A IliescuDepartment of Cardiology, University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
The University of Texas MD Anderson Cancer Center · USThe University of Texas Health Science Center at Houston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: There are no nationally representative studies of mortality and cost effectiveness for fractional flow reserve (FFR) guided percutaneous coronary interventions (PCI) in patients with cancer. Our study aims to show how this patient population may benefit from FFR-guided PCI. Materials and Methods: Propensity score matched analysis and backward propagation neural network machine learning supported multivariable regression was performed for inpatient mortality in this case-control study of the 2016 National Inpatient Sample (NIS). Regression results were adjusted for age, race, income, geographic region, metastases, mortality risk, and the likelihood of undergoing FFR versus non-FFR PCI. All analyses were adjusted for the complex survey design to produce nationally representative estimates. Results: Of the 30,195,722 hospitalized patients meeting criteria, 3.37% of the PCIs performed included FFR. In propensity score adjusted multivariable regression, FFR versus non-FFR PCI significantly reduced inpatient mortality (OR 0.47, 95%CI 0.35−0.63; p < 0.001) and length of stay (LOS) (in days; beta −0.23, 95%CI −0.37−−0.09; p = 0.001) while increasing cost (in USD; beta $5708.63, 95%CI, 3042.70−8374.57; p < 0.001), without significantly increasing complications overall. FFR versus non-FFR PCI did not specifically change cancer patients’ inpatient mortality, LOS, or cost. However, FFR versus non-FFR PCI significantly increased inpatient mortality for Hodgkin’s lymphoma (OR 52.48, 95%CI 7.16−384.53; p < 0.001) and rectal cancer (OR 24.38, 95%CI 2.24−265.73; p = 0.009). Conclusions: FFR-guided PCI may be safely utilized in patients with cancer as it does not significantly increase inpatient mortality, complications, and LOS. These findings support the need for an increased utilization of FFR-guided PCI and further studies to evaluate its long-term impact.

Indexed as

Coronary Artery DiseaseFractional Flow Reserve, MyocardialNeoplasmsPercutaneous Coronary InterventionCase-Control StudiesCoronary AngiographyHumansInpatientsLength of StayMachine LearningTreatment Outcomecancercardio-oncologyfractional flow reserveHodgkin’s lymphomamalignancypercutaneous coronary interventionrectal cancer

Identifiers

PMID35888578
PMCPMC9320131
OpenAlexW4283701829

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.