Evidence map›Paper›PMID 35761895›Full record

ArticleInternational journal of general medicine2022

Body Mass Index and New-Onset Atrial Fibrillation in Patients with Acute Myocardial Infarction.

Lei Liu, Xiaoyan Liu, Xiaosong Ding, Hui Chen, Hongwei Li

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2022. 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
1.0field-weighted citation impact, top 24% 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, 7 citations in OpenAlex.

  1. Article
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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

5 authors at 1 institution in 1 country.

Lei LiuDepartment of Cardiology, Cardiovascular Center, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Xiaoyan LiuDepartment of Cardiology, Cardiovascular Center, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Xiaosong DingDepartment of Cardiology, Cardiovascular Center, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Hui ChenDepartment of Cardiology, Cardiovascular Center, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0000-0002-6634-7635
Hongwei LiDepartment of Cardiology, Cardiovascular Center, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The "obesity paradox" has not been elucidated in the long-term outcomes in acute myocardial infarction (AMI) patients. This study sought to characterize the relationship between body mass index (BMI) and the risk of new-onset atrial fibrillation (NOAF). Methods: A total of 4282 participants free from AF at baseline were identified at Beijing Friendship Hospital. Baseline body mass index (BMI) was categorized into four groups. Incidence of NOAF was observed at the follow-up visits. The associations between different BMI categories and the incidence of NOAF were assessed by multivariate Cox regression analysis. Results: Over a median follow-up period of 42.0 months, 4282 participants (age 62.7 ± 6.6 years, 38.7% women) were enrolled, 23.0% were BMI <23.0kg/m Conclusion: In this AMI cohort study, the present finding of an inverse association between BMI and risk of NOAF supports the "obesity paradox". Decreasing BMI was associated with an increased risk of NOAF. Trial Registration: Prospective registered.

Indexed as

acute myocardial infarctionatrial fibrillationbody mass indexobesity

Identifiers

PMID35761895
PMCPMC9233516
OpenAlexW4283172240

What OpenQuestion holds

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LicenceCC BY-NC
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.