Evidence map›Paper›PMID 40636610›Full record

ArticleCureus2025

Admissions for Atrial Fibrillation in the Elderly Population: Evaluation of Demographic Predictors of Mortality From the National Inpatient Sample.

Youssef Jalloul, Joseph El Roumi, Hani Tamim, Moied Al Sakan, Shaker Eid, Marwan Refaat

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Youssef JalloulInternal Medicine, American University of Beirut Medical Center, Beirut, LBN.
Joseph El RoumiCardiology, Cleveland Clinic, Ohio, USA.
Hani TamimClinical Research Institute, American University of Beirut Medical Center, Beirut, LBN.
Moied Al SakanCardiology, American University of Beirut Medical Center, Beirut, LBN.
Shaker EidInternal Medicine, Hermann Memorial Health System, Texas, USA.
Marwan RefaatCardiovascular Disease, American University of Beirut, Beirut, LBN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atrial fibrillation (AF) is the most common arrhythmia to affect elderly patients above 70 years of age and causes a significant burden. Multiple demographic factors have been linked to increased mortality in general in patients admitted with AF. The aim of our study is to delineate those factors in elderly patients admitted with atrial fibrillation in the United States. We used the Nationwide Inpatient Sample to evaluate the mortality of patients aged more than 70 admitted with AF between 2005 and 2014. We looked at variables such as race, sex, hospital location, hospital teaching status, hospital bed size, and hospital region to elucidate the association, if present, between those variables and mortality in our patient population. Specific ICD-9-CM codes were used to identify the study patients and their outcomes. Our results showed that 2,163,343 elderly patients above 70 years of age were admitted between 2005 and 2014, inclusive, with a diagnosis of AF. In those aged greater than 70, there was an association between sex and mortality (1.37% of females died vs. 1.48% of males died, p=0.004). However, patients who were white had a lower mortality rate than other races (1.38% of white patients died) at a p-value <0.0001. There was no correlation between hospital bed size or hospital teaching status (teaching vs. non-teaching) and mortality, with a p-value of 0.31 and 0.57, respectively. However, hospital location (1.39% mortality in urban vs. 1.51% in rural hospitals) and hospital region (the least mortality rate 1.24%, was found in Midwest and the highest, 1.58%, was found in Northeast), were associated with mortality, with corresponding p-values of 0.022 and <0.0001 respectively. The results of our analysis signify the need for further advancement of the hospital and regional-based resources. These outcomes reflect the gaps in the uniformity of nationwide medical care that the United States aims to attain.

Indexed as

atrial fibrillationelderlyhospital bed sizelocationraceregionsexteaching status

Identifiers

PMID40636610
PMCPMC12240555

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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.