Evidence map›Paper›PMID 37283635›Full record

ReviewLe infezioni in medicina2023

Cerebrovascular disease in COVID-19: a systematic review and meta-analysis.

Ritesh G Menezes, Tamim Omar Alabduladhem, Ahmed Kamal Siddiqi, Muhammad Talha Maniya, Abdulaziz Mazen Al Dahlawi, Mohammed Waleed Abdulaziz Almulhim, Hadeel Waleed Almulhim, Yasmeen Abdulwahab Ali Saeed, Moath Saad Alotaibi, Sarah Saud Alarifi and 2 more

Open access · bronzeAbstract readReview
In one paragraph

Review in Le infezioni in medicina, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Stroke and COVID-19: An Umbrella Review.Archives of academic emergency medicine · 2024
    Review
  4. Review
  5. Review
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

12 authors at 3 institutions in 2 countries.

Ritesh G MenezesDepartment of Pathology, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Tamim Omar AlabduladhemCollege of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Ahmed Kamal SiddiqiDepartment of Medicine, Ziauddin University, Karachi, Pakistan.
Muhammad Talha ManiyaDepartment of Medicine, Ziauddin University, Karachi, Pakistan.
Abdulaziz Mazen Al DahlawiCollege of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Mohammed Waleed Abdulaziz AlmulhimCollege of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Hadeel Waleed AlmulhimCollege of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Yasmeen Abdulwahab Ali SaeedCollege of Medicine, King Khalid University, Abha, Saudi Arabia.
Moath Saad AlotaibiCollege of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Sarah Saud AlarifiCollege of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Abdulrahman Mohammed AlkathiryCollege of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Talal AlmasRCSI University of Medicine and Health Sciences, Dublin, D02 YN77, Ireland.
Imam Abdulrahman Bin Faisal University · SAZiauddin University · PKKing Khalid University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The association between COVID-19 and acute cerebrovascular disease (CVD) has not been explored extensively. New data has come to light which may change previous results. Methods: We queried the PubMed electronic database from its inception until February 2022 for studies evaluating the incidence of stroke in COVID-19 patients. Results of the analysis were pooled using a random-effects model and presented as odds ratios (ORs) with 95% confidence intervals (95% CIs). Results: 37 studies consisting of 294,249 patients were included in our analysis. Pooled results show that the incidence of acute CVD events in COVID-19 positive patients is 2.6% (95% CI: 2.0-3.3; P<0.001). Cardioembolic (OR=14.15, 95% CI: 11.01 to 18.19, P<0.00001) and cryptogenic (OR=2.87, 95% CI: 1.91 to 4.32, P<0.00001) etiologies were associated with COVID-19 positivity. Risk factors for CVD events in patients with COVID-19 were atrial fibrillation (OR=2.60, 95% CI: 1.15 to 5.87, P=0.02), coronary artery disease (OR=2.24, 95% CI: 1.38 to 3.61, P=0.0010), diabetes (OR=2.46, 95% CI: 1.36 to 4.44, P=0.003) and hypertension (OR=3.65, 95% CI: 1.69 to 7.90, P=0.005). Conclusion: COVID-19 infection is associated with an increased risk for acute CVD and is associated with cardioembolic and cryptogenic etiologies and the risk factors of atrial fibrillation, coronary artery disease, diabetes and hypertension in COVID-19 positive patients.

Indexed as

acute cerebrovascular diseaseCOVID-19CVDSARS-CoV-2Stroke

Identifiers

PMID37283635
PMCPMC10241400
OpenAlexW4379207005

What OpenQuestion holds

Textmetadata
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.