Evidence map›Paper›PMID 34621418›Full record

ArticleJournal of arrhythmia2021

Association of atrial fibrillation and various cancer subtypes.

Muhammad Zubair Khan, Ashwani Gupta, Kirtenkumar Patel, Aida Abraham, Sona Franklin, Do Young Kim, Krunalkumar Patel, Ishtiaq Hussian, Muhammad Samsoor Zarak, Vincent Figueredo and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of arrhythmia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  7. Risk of atrial fibrillation in patients with multiple myeloma: what is known and directions for future study.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2024
    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

11 authors at 2 institutions in 1 country.

Muhammad Zubair KhanDepartment of Internal Medicine St. Mary Medical Center Langhorne PA USA.ORCID https://orcid.org/0000-0002-8884-3146
Ashwani GuptaDepartment of Cardiology St. Mary Medical Center Langhorne PA USA.
Kirtenkumar PatelDepartment of Internal Medicine St. Mary Medical Center Langhorne PA USA.
Aida AbrahamDepartment of Internal Medicine St. Mary Medical Center Langhorne PA USA.
Sona FranklinDepartment of Internal Medicine St. Mary Medical Center Langhorne PA USA.
Do Young KimDepartment of Internal Medicine St. Mary Medical Center Langhorne PA USA.
Krunalkumar PatelDepartment of Internal Medicine St. Mary Medical Center Langhorne PA USA.
Ishtiaq HussianDepartment of Internal Medicine Cleveland Clinic Weston FL USA.
Muhammad Samsoor ZarakDepartment of Internal Medicine St. Mary Medical Center Langhorne PA USA.
Vincent FigueredoDepartment of Cardiology St. Mary Medical Center Langhorne PA USA.
Steven KutalekDepartment of Cardiology St. Mary Medical Center Langhorne PA USA.
St. Mary Medical Center · USCleveland Clinic Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies have shown that the incidence of atrial fibrillation (AF) in cancer is most likely due to the presence of inflammatory markers. The purpose of our study is to determine the association of AF with different cancer subtypes and its impact on in-hospital outcomes.

methodsData were obtained from the National Inpatient Sample database between 2005 and 2015. Patients with various cancers and AF were studied. ICD-9-CM codes were utilized to verify variables. Patients were divided into three age groups: Group 1 (age < 65 years), Group 2 (age 65-80 years), and Group 3 (age > 80 years). Statistical analysis was performed using Pearson chi-square and binary logistic regression analysis to determine the association of individual cancers with AF.

resultsThe prevalence of AF was 14.6% among total study patients (n = 46 030 380). After adjusting for confounding variables through multivariate regression analysis, AF showed significant association in Group 1 with lung cancer (odds ratio, OR = 1.92), multiple myeloma (OR = 1.59), non-Hodgkin lymphoma (OR = 1.55), respiratory cancer (OR = 1.55), prostate cancer (OR = 1.20), leukemia (OR = 1.12), and Hodgkin's lymphoma (OR = 1.03). In Group 2, the association of AF with multiple myeloma (1.21), lung cancer (OR = 1.15), Hodgkin lymphoma (OR = 1.15), non-Hodgkin lymphoma (OR = 1.12), respiratory cancer (OR = 1.08), prostate cancer (OR = 1.06), leukemia (OR = 1.14), and colon cancer (OR = 1.01) were significant. In Group 3, AF showed significant association with non-Hodgkin lymphoma (OR = 1.06), prostate (OR = 1.03), leukemia (OR = 1.03), Hodgkin's lymphoma (OR = 1.02), multiple myeloma (OR = 1.01), colon cancer (OR = 1.01), and breast cancer (OR = 1.01). The highest mortality was found in lung cancer in age <80 and prostate cancer in age >80.

conclusionIn patients age <80 years, AF has significant association with lung cancer and multiple myeloma, whereas in patients age >80 years, it has significant association with non-Hodgkin lymphoma and prostate cancer. In patients age <80 years, increased mortality was seen in AF with lung cancer and in patients age >80 years, increased mortality was seen in those with AF and prostate cancer. TWITTER ABSTRACT: In age <80, lung cancer and multiple myeloma have a strong association with AF while thyroid and pancreatic cancers have no association with AF at any age. In age greater than 80, NHL and prostate cancer have a significant association with AF.

Indexed as

atrial fibrillationcancers

Identifiers

PMID34621418
PMCPMC8485786
OpenAlexW3185362635

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.