Evidence map›Paper›PMID 37757472›Full record

ArticleEuropean heart journal. Quality of care & clinical outcomes2024

Cancer and the risk of perioperative arterial ischaemic events.

Babak B Navi, Cenai Zhang, Jed H Kaiser, Vanessa Liao, Mary Cushman, Scott E Kasner, Mitchell S V Elkind, Scott T Tagawa, Saketh R Guntupalli, Mario F L Gaudino and 3 more

Abstract readMulticenter Study
In one paragraph

Article in European heart journal. Quality of care & clinical outcomes, 2024. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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.

Babak B NaviClinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute and Department of Neurology, Weill Cornell Medicine, New York, NY 10021, USA.ORCID 0000-0001-8424-6128
Cenai ZhangClinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute and Department of Neurology, Weill Cornell Medicine, New York, NY 10021, USA.
Jed H KaiserClinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute and Department of Neurology, Weill Cornell Medicine, New York, NY 10021, USA.
Vanessa LiaoClinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute and Department of Neurology, Weill Cornell Medicine, New York, NY 10021, USA.
Mary CushmanDivision of Hematology and Oncology, Department of Medicine, University of Vermont Larner College of Medicine, Burlington, VT 05446, USA.
Scott E KasnerDepartment of Neurology, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA.
Mitchell S V ElkindDepartment of Neurology, Vagelos College of Physicians and Surgeons, Columbia University,  New York, NY 10032, USA.
Scott T TagawaDivision of Hematology and Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY 10021, USA.ORCID 0000-0003-2777-8587
Saketh R GuntupalliDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Colorado School of Medicine at Denver, Aurora, CO 80045, USA.
Mario F L GaudinoDepartment of Cardiothoracic Surgery, Weill Cornell Medicine, New York NY 10021, USA.ORCID 0000-0003-4680-0815
Agnes Y Y LeeDivision of Hematology, Department of Medicine, University of British Columbia, BC Cancer, Vancouver, BC, Canada.
Alok A KhoranaDepartment of Hematology and Oncology, Taussig Cancer Institute and Case Comprehensive Cancer Center, Cleveland Clinic, Cleveland, OH 44195, USA.
Hooman KamelClinical and Translational Neuroscience Unit, Feil Family Brain and Mind Research Institute and Department of Neurology, Weill Cornell Medicine, New York, NY 10021, USA.

Funding

Novel approaches to improve prediction of cancer-associated thrombosisU01HL143402 · NHLBI · CLEVELAND CLINIC LERNER COM-CWRU · PI KHORANA, ALOK A, MCCRAE, KEITH R. · 2018 to 2022
$4.7M
Mechanisms of cancer immunotherapy-associated thrombosisR01HL164516 · NHLBI · CLEVELAND CLINIC LERNER COM-CWRU · PI Claudia Marcela Diaz-Montero, ALOK A KHORANA · 2023 to 2026
$2.9M
NHLBI NIH HHS R01 HL164516NHLBI NIH HHS U01 HL143402
6 · The paper itself

Abstract

BACKGROUND AND

aimsMost cancer patients require surgery for diagnosis and treatment. This study evaluated whether cancer is a risk factor for perioperative arterial ischaemic events.

methodsThe primary cohort included patients registered in the National Surgical Quality Improvement Program (NSQIP) between 2006 and 2016. The secondary cohort included Healthcare Cost and Utilization Project (HCUP) claims data from 11 US states between 2016 and 2018. Study populations comprised patients who underwent inpatient (NSQIP, HCUP) or outpatient (NSQIP) surgery. Study exposures were disseminated cancer (NSQIP) and all cancers (HCUP). The primary outcome was a perioperative arterial ischaemic event, defined as myocardial infarction or stroke diagnosed within 30 days after surgery.

resultsAmong 5 609 675 NSQIP surgeries, 2.2% involved patients with disseminated cancer. The perioperative arterial ischaemic event rate was 0.96% among patients with disseminated cancer vs. 0.48% among patients without (hazard ratio [HR], 2.01; 95% confidence interval [CI], 1.90-2.13). In Cox analyses adjusting for demographics, functional status, comorbidities, surgical specialty, anesthesia type, and clinical factors, disseminated cancer remained associated with higher risk of perioperative arterial ischaemic events (HR, 1.37; 95% CI, 1.28-1.46). Among 1 341 658 surgical patients in the HCUP cohort, 11.8% had a diagnosis of cancer. A perioperative arterial ischaemic event was diagnosed in 0.74% of patients with cancer vs. 0.54% of patients without cancer (HR, 1.35; 95% CI, 1.27-1.43). In Cox analyses adjusted for demographics, insurance, comorbidities, and surgery type, cancer remained associated with higher risk of perioperative arterial ischaemic events (HR, 1.31; 95% CI, 1.21-1.42).

conclusionCancer is an independent risk factor for perioperative arterial ischaemic events.

Indexed as

NeoplasmsAgedFemaleFollow-Up StudiesHumansIncidenceMaleMiddle AgedPostoperative ComplicationsRetrospective StudiesRisk AssessmentRisk FactorsUnited StatesArterial thrombosisCancerMyocardial infarctionStrokeSurgery

Identifiers

PMID37757472
PMCPMC13376145

What OpenQuestion holds

Textmetadata
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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.