Evidence map›Paper›PMID 37775653›Full record

ReviewSports medicine - open2023

Effect of Eccentric Exercise on Metabolic Health in Diabetes and Obesity.

Gergő Szűcs, Márton Pipicz, Márton Richárd Szabó, Tamás Csont, László Török, Csaba Csonka

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Sports medicine - open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07109102 (Exploring Long-Term Benefits of Eccentric Cycling Exercise on Physiological Responses, Exercise Capacity, and Quality of Life in Patients With Type 2 Diabetes Mellitus), which is not on this map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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.

NCT07109102 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

Exploring Long-Term Benefits of Eccentric Cycling Exercise on Physiological Responses, Exercise Capacity, and Quality of Life in Patients With Type 2 Diabetes Mellitus

TypeinterventionalSponsorUniversiti Sains MalaysiaRan2025 to 2026Enrolled30ConditionsType 2 Diabetes Mellitus (T2DM)ArmsModerate-intensity eccentric cycling, High-intensity eccentric cycling, Moderate-intensity concentric cycling
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

6 authors at 1 institution in 1 country.

Gergő Szűcs *Metabolic Diseases and Cell Signaling (MEDICS) Research Group, Department of Biochemistry, Albert Szent-Györgyi Medical School, University of Szeged, Dóm tér 9, Szeged, 6720, Hungary.ORCID http://orcid.org/0000-0003-1874-2718
Márton Pipicz *Metabolic Diseases and Cell Signaling (MEDICS) Research Group, Department of Biochemistry, Albert Szent-Györgyi Medical School, University of Szeged, Dóm tér 9, Szeged, 6720, Hungary.ORCID http://orcid.org/0000-0002-0944-1684
Márton Richárd SzabóMetabolic Diseases and Cell Signaling (MEDICS) Research Group, Department of Biochemistry, Albert Szent-Györgyi Medical School, University of Szeged, Dóm tér 9, Szeged, 6720, Hungary.ORCID http://orcid.org/0000-0003-0415-5192
Tamás CsontMetabolic Diseases and Cell Signaling (MEDICS) Research Group, Department of Biochemistry, Albert Szent-Györgyi Medical School, University of Szeged, Dóm tér 9, Szeged, 6720, Hungary.ORCID http://orcid.org/0000-0001-5792-2768
László Török *Department of Traumatology, Albert Szent-Györgyi Medical School, University of Szeged, Semmelweis utca 6, Szeged, 6720, Hungary.ORCID http://orcid.org/0000-0001-9287-524X
Csaba Csonka *Metabolic Diseases and Cell Signaling (MEDICS) Research Group, Department of Biochemistry, Albert Szent-Györgyi Medical School, University of Szeged, Dóm tér 9, Szeged, 6720, Hungary. csonka.csaba@med.u-szeged.hu.ORCID http://orcid.org/0000-0003-2532-6261
University of Szeged · HU

Funding

Nemzeti Kutatási, Fejlesztési és Innovaciós Alap GINOP-2.3.2-15-2016-00040 (MyoTeam)Nemzeti Kutatási, Fejlesztési és Innovaciós Alap TKP2021-EGA-32New National Excellence Program of the Ministry for Innovation and Technology ÚNKP-19-3-SZTE-269OTKA K143889
6 · The paper itself

Abstract

There is a growing body of evidence showing the importance of physical activity against civilization-induced metabolic diseases, including type 2 diabetes (T2DM) and obesity. Eccentric contraction, when skeletal muscles generate force by lengthening, is a unique type of skeletal muscle activity. Eccentric contraction may lead to better power production characteristics of the muscle because eccentric contraction requires less energy and can result in higher tension. Therefore, it is an ideal tool in the rehabilitation program of patients. However, the complex metabolic effect (i.e., fat mass reduction, increased lipid oxidation, improvement in blood lipid profile, and increased insulin sensitivity) of the eccentric contraction alone has scarcely been investigated. This paper aims to review the current literature to provide information on whether eccentric contraction can influence metabolic health and body composition in T2DM or obesity. We also discussed the potential role of myokines in mediating the effects of eccentric exercise. A better understanding of the mechanism of eccentric training and particularly their participation in the regulation of metabolic diseases may widen their possible therapeutic use and, thereby, may support the fight against the leading global risks for mortality in the world.

Indexed as

DiabeticDownhillEccentric trainingExerciseImpaired glucose toleranceInsulin resistanceLengthening contractionMetabolismObesityOverweightPrediabetes

Identifiers

PMID37775653
PMCPMC10541389
OpenAlexW4387166561

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.