Evidence map›Paper›PMID 35453726›Full record

ArticleBiology2022

Effect of Age and Acute-Moderate Intensity Exercise on Biomarkers of Renal Health and Filtration.

Jeffrey S Forsse, David Buckley, Ahmed Ismaeel, Kathleen A Richardson, Autumn Oliver, Panagiotis Koutakis

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Effects of WatchingCardiovascular & hematological disorders drug targets · 2025
    Trial
  2. Article
  3. 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

6 authors at 3 institutions in 1 country.

Jeffrey S ForsseDepartment of Health Human Performance and Recreation, Baylor University, Waco, TX 76706, USA.ORCID 0000-0001-8326-5132
David BuckleyKinesiology Department, Stephen F. Austin State University, Nacogdoches, TX 75962, USA.
Ahmed IsmaeelClinical Muscle Biology Lab, Baylor University, Waco, TX 76706, USA.ORCID 0000-0003-4025-3945
Kathleen A RichardsonDepartment of Health Human Performance and Recreation, Baylor University, Waco, TX 76706, USA.ORCID 0000-0002-0148-6925
Autumn OliverKinesiology Department, Stephen F. Austin State University, Nacogdoches, TX 75962, USA.
Panagiotis KoutakisClinical Muscle Biology Lab, Baylor University, Waco, TX 76706, USA.ORCID 0000-0002-8352-5667
Baylor University · USStephen F. Austin State University · USThe University of Texas at Arlington · US

Funding

The Role of microRNA-210 in regulating oxidative stress in patients with peripheral artery diseaseR01AG064420 · NIA · UNIVERSITY OF WEST FLORIDA · PI KOUTAKIS, PANAGIOTIS · 2019 to 2023
$3.3M
NIA NIH HHS R01AG064420
6 · The paper itself

Abstract

Aerobic exercise elicits a multitude of physiological improvements in both healthy and diseased populations. However, acute changes in renal health and filtration with aerobic exercise remain difficult to quantify by traditional biomarkers to estimate glomerular filtration rate (eGFR). This study aimed to determine if an acute bout of moderate-intensity aerobic exercise transiently improves non-traditional biomarkers when compared to traditional biomarkers of renal health and filtration in individuals without cardiometabolic diseases. Thirty-nine participants (

Indexed as

aerobic exercisecardiometabolic diseasesestimated glomerular filtration raterenal health and filtrationurine epidermal growth factor

Identifiers

PMID35453726
PMCPMC9029611
OpenAlexW4221104977

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.