Evidence map›Paper›PMID 38726157›Full record

ArticleHeliyon2024

Clinical characteristics of heavy alcohol consumption in young and middle-aged acute cerebral infarction: A 12-month follow-up study.

Jia Liao, Xin Li, Ling Wang, Mingfen Chen, Fengying Quan, Zhiqin Xi

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Jia LiaoDepartment of Neurology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xin LiDepartment of Neurology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Ling WangDepartment of Neurology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Mingfen ChenDepartment of Neurology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Fengying QuanDepartment of Neurology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Zhiqin XiDepartment of Neurology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the clinical characteristics and prognosis of heavy alcohol consumption among young and middle-aged patients with acute cerebral infarction (ACI). Methods: A total of 263 young and middle-aged ACI patients were included in the study from June 2018 to December 2020 and classified into heavy drinkers and non-heavy drinkers. Multivariate logistic regression analysis was conducted to assess the association between ACI and heavy alcohol consumption, considering clinical characteristics and one-year post-discharge prognosis. Results: Among the patients, 78 were heavy drinkers. Heavy drinkers were more likely to consume alcohol 24 h before ACI onset (OR 4.03, 95 % CI 2.26-7.20), especially in the form of liquor (OR 3.83, 95 % CI 1.59-9.20), and had a higher risk of diastolic blood pressure ≥90 mmHg upon admission (OR 2.02, 95 % CI 1.12-3.64). In the one-year post-discharge prognosis, heavy drinkers had a greater likelihood of poor prognosis at 3 months (OR 2.31, 95 % CI 1.01-5.25), were less likely to quit drinking after discharge (OR 0.36, 95 % CI 0.19-0.66), and had a higher risk of recurrent cerebral infarction (OR 2.79, 95 % CI 1.14-6.84). Conclusions: Over the 12-month follow-up, young and middle-aged ACI patients with heavy alcohol consumption exhibited worse short-term prognosis. Controlling alcohol consumption levels may improve the prognosis of these patients.

Indexed as

Acute cerebral infarctionHeavy alcohol consumptionYoung and middle-aged patients

Identifiers

PMID38726157
PMCPMC11079088

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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.