Evidence map›Paper›PMID 35012004›Full record

ArticleJournal of clinical medicine2022

Plasma microRNA-320a as a Potential Biomarker of Physiological Changes during Training in Professional Volleyball Players.

Rafał Podgórski, Marek Cieśla, Dominika Podgórska, Wojciech Bajorek, Artur Płonka, Wojciech Czarny, Robert Trybulski, Paweł Król

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Non-coding RNAs in exercise immunology: A systematic review.Journal of sport and health science · 2024
    Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. International journal of molecular sciences · 2024
    Article
  10. Article
  11. Association ofGenes · 2023
    Article
  12. 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

8 authors.

Rafał PodgórskiDepartment of Biochemistry, Institute of Medical Sciences, Medical College of Rzeszow University, 35-959 Rzeszow, Poland.ORCID 0000-0002-7565-7184
Marek CieślaDepartment of Clinical Genetics, Institute of Medical Sciences, Medical College of Rzeszow University, 35-959 Rzeszow, Poland.
Dominika PodgórskaDepartment of Internal Diseases, Institute of Medical Sciences, Medical College of Rzeszow University, 35-959 Rzeszow, Poland.
Wojciech BajorekInstitute of Physical Culture Studies, Medical College of Rzeszow University, 35-959 Rzeszow, Poland.
Artur PłonkaInstitute of Physical Culture Studies, Medical College of Rzeszow University, 35-959 Rzeszow, Poland.
Wojciech CzarnyInstitute of Physical Culture Studies, Medical College of Rzeszow University, 35-959 Rzeszow, Poland.ORCID 0000-0001-9481-7609
Robert TrybulskiDepartment of Medical Sciences, The Wojciech Korfanty School of Economics, 40-659 Katowice, Poland.
Paweł KrólInstitute of Physical Culture Studies, Medical College of Rzeszow University, 35-959 Rzeszow, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A deeper insight into the mechanisms responsible for athlete performance that may serve as specific and detailed training indicators is still desired, because conventionally used biomarkers provide limited information about the adaptive processes that occur during exercise. The objective of our study was to assess insulin-like growth factor 1 receptors (

Indexed as

athletesIGF1RmiRNAtraining biomarkers

Identifiers

PMID35012004
PMCPMC8746094

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.