Evidence map›Paper›PMID 42646261›Full record

ArticleMetabolites2026

Development of the Beta-Weighted Lacto-Glycemic Equation (β-LGE): A Dual-Application Machine Learning Framework for Non-Exhaustive Maximal Aerobic Capacity Estimation.

Ömer Özer, Ahmet Kurtoğlu, Musa Türkmen, Bekir Çar, Jarosław Muracki, Ali Tatlıcı, Safaa M Elkholi

Abstract read
In one paragraph

Article in Metabolites, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Ömer ÖzerDepartment of Physical Education and Sport, Faculty of Sport Science, Bandirma Onyedi Eylul University, Balikesir 10200, Türkiye.ORCID 0000-0002-7384-4760
Ahmet KurtoğluDepartment of Coaching Education, Faculty of Sport Science, Bandirma Onyedi Eylul University, Balikesir 10200, Türkiye.ORCID 0000-0002-9292-5419
Musa TürkmenDepartment of Physical Education and Sport, Institute of Health Science, Inonu University, Malatya 44280, Türkiye.
Bekir ÇarDepartment of Recreation, Faculty of Sport Science, Gazi University, Ankara 06560, Türkiye.ORCID 0000-0001-7422-9543
Jarosław MurackiInstitute of Physical Culture Sciences, Department of Physical Culture and Health, University of Szczecin, 70-453 Szczecin, Poland.ORCID 0000-0002-7470-1921
Ali TatlıcıDepartment of Physical Education and Sport Teaching, Faculty of Sport Science, Selçuk University, Konya 42060, Türkiye.
Safaa M ElkholiDepartment of Rehabilitation Sciences, College of Health and Rehabilitation Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.ORCID 0000-0002-1100-4301

Funding

Princess Nourah bint Abdulrahman University PNURSP2026R145
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

IFTintermittent fitness testlactatemachine learningVO2max

Identifiers

PMID42646261
PMCPMC13515389

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.