Evidence map›Paper›PMID 35309531›Full record

ArticleBiology of sport2022

Inflammatory cytokines and metabolic responses to high-intensity intermittent training: effect of the exercise intensity.

Fatma Rhibi, Hassane Zouhal, Fabio Santos Lira, Nejmeddine Ouerghi, Jacques Prioux, Sophia Besbes, Jed M Tijani, Anthony C Hackney, Abderraouf Ben Abderrahman

Abstract read
In one paragraph

Article in Biology of sport, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Article
  3. Article
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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

9 authors.

Fatma RhibiLaboratory of Biomonitoring of the Environment, Faculty of Science of Bizerte, University of Carthage, Tunisia.
Hassane ZouhalMovement, Sport, Health and Sciences laboratory (M2S). UFR-STAPS, University of Rennes 2-ENS Cachan, Av. Charles Tillon, 35044 Rennes Cedex, France.
Fabio Santos LiraExercise and Immunometabolism Research Group, Postgraduation Program in Movement Sciences, Department of Physical Education, Universidade Estadual Paulista (UNESP), Presidente Prudente, São Paulo, Brazil.
Nejmeddine OuerghiResearch Unit, Sportive Performance and Physical Rehabilitation, UR13JS01, High Institute of Sports and Physical Education of Kef, University of Jendouba, Kef, Tunisia.
Jacques PriouxMovement, Sport, Health and Sciences laboratory (M2S). UFR-STAPS, University of Rennes 2-ENS Cachan, Av. Charles Tillon, 35044 Rennes Cedex, France.
Sophia BesbesClinical Biology Laboratory, Med Kassab Institute of Orthopedics, Tunisia.
Jed M TijaniHigher Institute of Sport and Physical Education of Ksar-Said, Unit of Research, Movement Analysis and Performance Assessment, Ksar-Said, Tunisia.
Anthony C HackneyDepartment of Exercise & Sport Science, University of North Carolina, Chapel Hill, NC, United States.
Abderraouf Ben AbderrahmanLaboratory of Biomonitoring of the Environment, Faculty of Science of Bizerte, University of Carthage, Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To examine the effects of two high-intensity intermittent training (HIIT) programs of varying intensities (100% vs. 110% of maximal aerobic velocity [MAV]) on metabolic, hormonal and inflammatory markers in young men. Thirty-seven active male volunteers were randomly assigned into: HIIT experimental groups (100% MAV [EG

Indexed as

EnduranceInflammatory parametersIntermittent exerciseInterval training

Identifiers

PMID35309531
PMCPMC8919870

What OpenQuestion 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 OpenQuestion graph.