Evidence map›Paper›PMID 35524878›Full record

ReviewCurrent cardiology reports2022

COVID's Impact on Non-communicable Diseases: What We Do Not Know May Hurt Us.

Karl Gordon Patti, Payal Kohli

Open access · bronzeAbstract readReview
In one paragraph

Review in Current cardiology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
8.4field-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

13 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
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  10. Topics 2023 in Hypertension Research leading to guidelines in Asia.Hypertension research : official journal of the Japanese Society of Hypertension · 2023
    Article
  11. Article
  12. COVID-19: Where We Are and Where We Are Going.Diseases (Basel, Switzerland) · 2023
    Article
  13. 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

2 authors at 2 institutions in 1 country.

Karl Gordon PattiDepartment of Medicine, Division of Cardiology, Cardiac and Vascular Center, University of Colorado Anschutz, 12605 E 16th Ave, Aurora, CO, 80045, USA.ORCID 0000-0002-1854-8897
Payal KohliDepartment of Medicine, Division of Cardiology, Cardiac and Vascular Center, University of Colorado Anschutz, 12605 E 16th Ave, Aurora, CO, 80045, USA. Payal.Kohli@post.harvard.edu.
Dana-Farber/Harvard Cancer Center · USUniversity of Colorado Anschutz Medical Campus · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewIn this review, we outline the impacts of the COVID-19 pandemic on non-communicable diseases around the world. RECENT

findingsThe mechanisms of COVID-19's impact on non-communicable diseases are both direct and indirect. The direct mechanisms include direct vascular and myocardial injury as well as pancreatic injury increasing incidence of new-onset diabetes. Indirect effects of the pandemic on non-communicable disease include delayed presentation for acute illness including STEMI and the impact of social distancing and quarantine policies on socialization, mental health, physical activity, and the downstream health impacts of inactivity and deconditioning. International focus has been on disease variants, infection control and management, healthcare system, and resource utilization and infection incidence. However, the impact of this pandemic on non-communicable diseases has been largely overlooked but will manifest itself in the coming years to decades.

Indexed as

COVID-19Noncommunicable DiseasesHumansPandemicsQuarantineSARS-CoV-2CardiacCoronavirusCOVID-19Non-communicablePandemicSars-CoV-2

Identifiers

PMID35524878
PMCPMC9077645
OpenAlexW4229042451

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.