Evidence map›Paper›PMID 31220998›Full record

ArticleAmerican journal of men's health

Does High Volume of Exercise Training Increase Aseptic Vascular Inflammation in Male Athletes?

Agnieszka Zembron-Lacny, Anna Tylutka, Agnieszka Zeromska, Anna Kasperska, Edyta Wolny-Rokicka

Open access · goldAbstract read
In one paragraph

Article in American journal of men's health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Review
  6. Immunosenescence in Aging-Related Vascular Dysfunction.International journal of molecular sciences · 2022
    Article
  7. Review
  8. 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

5 authors at 2 institutions in 1 country.

Agnieszka Zembron-Lacny1 Department of Applied and Clinical Physiology, University of Zielona Gora, Poland.
Anna Tylutka1 Department of Applied and Clinical Physiology, University of Zielona Gora, Poland.
Agnieszka Zeromska2 Centre of Medical Simulation, University of Zielona Gora, Poland.
Anna Kasperska3 Department of Physiology, University School of Physical Education Poznan, Poland.
Edyta Wolny-Rokicka4 Department of Surgery and Oncology, University of Zielona Gora, Poland.
University of Zielona Góra · PLUniversity School of Physical Education in Kraków · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aseptic vascular inflammation can be caused by high levels of various inflammatory and apoptotic factors such as tumor necrosis factor (TNFα), nitric oxide (NO), 3-nitrotyrosine (3-Nitro), and free and oxidized low-density lipoproteins (oxLDL) generated during intense exercise. Endothelial dysfunction resulting from enhanced inflammation has been implicated in cardiovascular disease (CVD). The purpose of the study was to observe the effects of high volume of exercise training on inflammatory mediators and their interaction with conventional CVD risk factors. Blood samples were collected from highly-trained men (

Indexed as

AthletesExerciseAnthropometryBiomarkersC-Reactive ProteinHumansInflammationLipoproteins, LDLMaleNitric OxidePolandTumor Necrosis Factor-alphaVascular DiseasesYoung AdultBiomarkersC-Reactive ProteinLipoproteins, LDLNitric Oxideoxidized low density lipoproteinTumor Necrosis Factor-alphainflammationnitric oxidenitrotyrosinenon-HDLsport training

Identifiers

PMID31220998
PMCPMC6589963
OpenAlexW2952975632

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.