Evidence map›Paper›PMID 36693488›Full record

ReviewProgress in cardiovascular diseases

Cardiovascular disease prevention and management in the COVID-19 era and beyond: An international perspective.

Mark A Faghy, James Yates, Andrew P Hills, Sisitha Jayasinghe, Cássia da Luz Goulart, Ross Arena, Deepika Laddu, Rachita Gururaj, Sundar Kumar Veluswamy, Snehil Dixit and 1 more

Open access · hybridAbstract readReview
In one paragraph

Review in Progress in cardiovascular diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
7.9field-weighted citation impact, top 2% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Journal of family medicine and primary care · 2024
    Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Review
  19. Hyperparameter optimization for cardiovascular disease data-driven prognostic system.Visual computing for industry, biomedicine, and art · 2023
    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

11 authors at 7 institutions in 6 countries.

Mark A FaghyBiomedical Research Theme, School of Human Sciences, University of Derby, Derby, UK; Department of Physical Therapy, College of Applied Sciences, University of Illinois at Chicago, Chicago, IL, United States of America; Healthy Living for Pandemic Event Protection (HL - PIVOT) Network, Chicago, IL, United States of America. Electronic address: M.Faghy@Derby.ac.uk.
James YatesBiomedical Research Theme, School of Human Sciences, University of Derby, Derby, UK.
Andrew P HillsHealthy Living for Pandemic Event Protection (HL - PIVOT) Network, Chicago, IL, United States of America; School of Health Sciences, College of Health and Medicine, University of Tasmania, Launceston, TAS, Australia.
Sisitha JayasingheSchool of Health Sciences, College of Health and Medicine, University of Tasmania, Launceston, TAS, Australia.
Cássia da Luz GoulartCardiopulmonary Physiotherapy Laboratory, Department of Physiotherapy, Federal University of São Carlos, São Carlos, São Paulo, Brazil.
Ross ArenaBiomedical Research Theme, School of Human Sciences, University of Derby, Derby, UK; Department of Physical Therapy, College of Applied Sciences, University of Illinois at Chicago, Chicago, IL, United States of America; Healthy Living for Pandemic Event Protection (HL - PIVOT) Network, Chicago, IL, United States of America.
Deepika LadduDepartment of Physical Therapy, College of Applied Sciences, University of Illinois at Chicago, Chicago, IL, United States of America; Healthy Living for Pandemic Event Protection (HL - PIVOT) Network, Chicago, IL, United States of America.
Rachita GururajDepartment of Physiotherapy, Ramaiah Medical College, Bengaluru, India.
Sundar Kumar VeluswamyHealthy Living for Pandemic Event Protection (HL - PIVOT) Network, Chicago, IL, United States of America; Department of Physiotherapy, Ramaiah Medical College, Bengaluru, India.
Snehil DixitDepartment of Medical Rehabilitation Sciences, King Khalid University, Saudi Arabia.
Ruth E M AshtonBiomedical Research Theme, School of Human Sciences, University of Derby, Derby, UK; Healthy Living for Pandemic Event Protection (HL - PIVOT) Network, Chicago, IL, United States of America.
Health Net · USUniversity of Derby · GBUniversity of Tasmania · AUKing Khalid University · SAM.S. Ramaiah Medical College · INUniversidade Federal de São Carlos · BRUniversity of Illinois Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite some indicators of a localized curtailing of cardiovascular disease (CVD) prevalence, CVD remains one of the largest contributors to global morbidity and mortality. While the magnitude and impact of the coronavirus disease 2019 (COVID-19) pandemic have yet to be realized in its entirety, an unquestionable impact on global health and well-being is already clear. At a time when the global state of CVD is perilous, we provide a continental overview of prevalence data and initiatives that have positively influenced CVD outcomes. What is clear is that despite attempts to address the global burden of CVD, there remains a lack of collective thinking and approaches. Moving forward, a coordinated global infrastructure that, if developed with appropriate and relevant key stakeholders, could provide significant and longstanding benefits to public health and yield prominent and consistent policy resulting in impactful change. To achieve global impact, research priorities that address multi-disciplinary social, environmental, and clinical perspectives must be underpinned by unified approaches that maximize public health.

Indexed as

Cardiovascular DiseasesCOVID-19Delivery of Health CareHumansInternationalityPrevalenceCardiovascular diseaseChronic conditionsHealth and well-being

Identifiers

PMID36693488
PMCPMC9862672
OpenAlexW4317663873

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.