Evidence map›Paper›PMID 39991128›Full record

ArticleSports medicine and health science2025

Model for predicting metabolic activity in athletes based on biochemical blood test analysis.

Victoria A Zaborova, Evgenii I Balakin, Ksenia A Yurku, Olga E Aprishko, Vasiliy I Pustovoyt

Abstract read
In one paragraph

Article in Sports medicine and health science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Victoria A ZaborovaInstitute of Clinical Medicine, I.M. Sechenov First Moscow State Medical University, 119048, Moscow, Russia.
Evgenii I BalakinState Research Center - Burnasyan Federal Medical Biophysical Center of Federal Medical Biological Agency Center, 125310, Moscow, Russia.
Ksenia A YurkuState Research Center - Burnasyan Federal Medical Biophysical Center of Federal Medical Biological Agency Center, 125310, Moscow, Russia.
Olga E AprishkoState Research Center - Burnasyan Federal Medical Biophysical Center of Federal Medical Biological Agency Center, 125310, Moscow, Russia.
Vasiliy I PustovoytState Research Center - Burnasyan Federal Medical Biophysical Center of Federal Medical Biological Agency Center, 125310, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improving the efficiency of athletic performance and reducing the likelihood of overtraining are primarily determined goals that can be achieved by the correct organization of the training process. The nature of adaptation to physical stress is associated with the specificity, focus, and degree of biochemical and functional changes that occur during muscular work. In this study, we aimed to develop a diagnostic model for predicting metabolic processes in athletes based on standard biochemical blood analysis indicators. The study involved athletes from the track and field athletics team (men,

Indexed as

AnabolismBlood testCatabolismMetabolismOvertraining and sports populationPredictive model

Identifiers

PMID39991128
PMCPMC11846423

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.