Evidence map›Paper›PMID 33521379›Full record

ReviewObesity medicine2021

A meta-meta-analysis: Evaluation of meta-analyses published in the effectiveness of cardiovascular comorbidities on the severity of COVID-19.

Mehri Bemani Naeini, Mahdieh Sahebi, Fateme Nikbakht, Zahra Jamshidi, Mahnaz Ahmadimanesh, Maryam Hashemi, Javad Ramezani, Hamid Heidarian Miri, Rezvan Yazdian-Robati

Open access · greenAbstract readReview
In one paragraph

Review in Obesity medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Review
  3. COVID-19's immuno-pathology and cardiovascular diseases.Journal of investigative medicine : the official publication of the American Federation for Clinical Research · 2023
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

9 authors at 2 institutions in 1 country.

Mehri Bemani NaeiniNanotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
Mahdieh SahebiSocial Determinants of Health Research Center, Department of Epidemiology, Mashhad University of Medical Sciences, Mashhad, Iran.
Fateme NikbakhtSocial Determinants of Health Research Center, Department of Epidemiology, Mashhad University of Medical Sciences, Mashhad, Iran.
Zahra JamshidiDepartment of Medicinal Chemistry, Mashhad University of Medical Sciences, Mashhad, Iran.
Mahnaz AhmadimaneshFood and Drug Vice Presidency, Mashhad University of Medical Sciences, Mashhad, Iran.
Maryam HashemiNanotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
Javad RamezaniDepartment of Cardiology, Atherosclerosis Prevention Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Hamid Heidarian MiriSocial Determinants of Health Research Center, Department of Epidemiology, Mashhad University of Medical Sciences, Mashhad, Iran.
Rezvan Yazdian-RobatiMolecular and Cell Biology Research Center, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
Mashhad University of Medical Sciences · IRMazandaran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

On January 2020, WHO confirmed the epidemic outbreak of SARS-CoV-2 as a Health Emergency of International Concern. The aim of this meta-meta-analysis is quantifying meta-analytic findings on the association of cardiovascular disease (CVD) comorbidities and COVID-19 severity. Findings suggest that chances of getting severe COVID-19 disease in patients with CVD is greater than those without CVD. Also, prevalence of CVD in patents with COVID-19 is 0.08 (95% CI = 0.07-0.08). The OR as 3.44 indicates that the odds of getting severe COVID-19 is more than 3 times higher in those with CVD. Also, prevalence of hypertension in patient with COVID-19 is 0.27 (95%CI = 0.27-0.28) and the OR as 2.68 indicates that the odds of getting severe COVID-19 in cases with high blood pressure is more than 2.5 times higher than those without hypertension. It is rational to suppose that persons with coronary artery disease are prone to severe viral infection thereby, guideline-directed diagnosis and medical therapy is vital in CVD patients.

Indexed as

ACE2, angiotensin converting enzyme 2ACS, Acute coronary syndromeARDS, Acute respiratory distress syndromeCardiovascularCHD, Coronary heart diseaseClinical characteristicsCOVID-19COVID-19, Coronavirus disease-2019CVD, Cardiovascular diseaseHeart damageHypertensionICU, Intensive care unitMeta-meta-analysisNHC, National Health Commission of ChinaPrevalent comorbiditySARS-CoV-2SARS-CoV-2, severe acute respiratory syndrome coronavirus 2Underlying disease

Identifiers

PMID33521379
PMCPMC7826091
OpenAlexW3122001062

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.