Evidence map›Paper›PMID 34647161›Full record

ReviewCurrent cardiology reports2021

Physical Activity and Cardiorespiratory Fitness: Vital Signs for Cardiovascular Risk Assessment.

Nitin Kondamudi, Anurag Mehta, Neela D Thangada, Ambarish Pandey

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current cardiology reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  15. The Impact of Training on the Loss of Cardiorespiratory Fitness in Aging Masters Endurance Athletes.International journal of environmental research and public health · 2022
    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

4 authors at 3 institutions in 1 country.

Nitin KondamudiDivision of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390-9047, USA.
Anurag MehtaDivision of Cardiology, Department of Medicine, Emory Clinical Cardiovascular Research Institute, Emory University School of Medicine, Atlanta, GA, USA.
Neela D ThangadaDepartment of Internal Medicine, Division of Cardiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
Ambarish PandeyDivision of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390-9047, USA. Ambarish.Pandey@UTSouthwestern.edu.
The University of Texas Southwestern Medical Center · USEmory Clinic · USNorthwestern University · US

Funding

Evaluation of Racial Differences in Cardiorespiratory Fitness Decline with Aging & Underlying Biological MechanismsR03AG067960 · NIA · UT SOUTHWESTERN MEDICAL CENTER · PI PANDEY, AMBARISH · 2020 to 2021
$327k
National Institute of Aging GEMSSTAR Grant 1R03AG067960-01NIA NIH HHS R03 AG067960NIH HHS 2T32HL125247-06
6 · The paper itself

Abstract

purpose of reviewCurrent risk prediction tools do not include physical activity (PA) or cardiorespiratory fitness (CRF), despite their robust association with adverse cardiovascular disease (CVD) events and their potential as targets for preventive interventions. RECENT

findingsPA and CRF are each associated with cardiovascular (CV) morbidity and mortality, independent of traditional risk factors. Improvement in CRF is associated with reduced risk of atherosclerotic cardiovascular disease (ASCVD) and heart failure (HF). Risk prediction tools have been developed for ASCVD, and more recently for HF, to refine CVD risk assessment and inform CVD prevention strategies. Attempts have been made to incorporate PA and CRF into available CVD risk prediction models. Inclusion of PA and CRF into established CVD risk assessment models improves CVD risk prediction incremental to established CVD risk prediction tools, suggesting PA and CRF are markers of CVD risk and targets for CVD prevention.

Indexed as

Cardiorespiratory FitnessCardiovascular DiseasesExerciseHeart Disease Risk FactorsHumansRisk AssessmentRisk FactorsVital SignsCardiorespiratory fitnessCardiovascular diseasePhysical activityPreventionRisk prediction

Identifiers

PMID34647161
OpenAlexW3205230831

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.