Evidence map›Paper›PMID 33841184›Full record

ArticleFrontiers in physiology2021

Absent Exercise-Induced Improvements in Fat Oxidation in Women With Polycystic Ovary Syndrome After High-Intensity Interval Training.

Sofie Lionett, Ida Almenning Kiel, Ragnhild Røsbjørgen, Stian Lydersen, Steen Larsen, Trine Moholdt

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02943291 (Adipose Tissue Function and Response to Exercise Training in Women With and Without Polycystic Ovary Syndrome), which is not on this map. Cited by 14 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 7 pooled it
3.3field-weighted citation impact, top 9% 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.

NCT02943291 nacompletednot on this map

Adipose Tissue Function and Response to Exercise Training in Women With and Without Polycystic Ovary Syndrome

TypeinterventionalSponsorNorwegian University of Science and TechnologyRan2016 to 2022Enrolled15ConditionsPolycystic Ovary SyndromeArms4x4 minutes high intensity interval training, 10x1 minute high intensity interval training
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 7 syntheses or guidelines pooled it, 20 citations in OpenAlex.

  1. Pooled it
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  5. Adipose Tissue Dysfunction in Polycystic Ovary Syndrome.The Journal of clinical endocrinology and metabolism · 2023
    Pooled it
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  7. Pooled it
  8. Trial
  9. Article
  10. Review
  11. 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

6 authors at 2 institutions in 3 countries.

Sofie LionettDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.
Ida Almenning KielDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.
Ragnhild RøsbjørgenDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.
Stian LydersenDepartment of Mental Health, Regional Centre for Child and Youth Mental Health and Child Welfare, Norwegian University of Science and Technology, Trondheim, Norway.
Steen LarsenDepartment of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark.
Trine MoholdtDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.
Norwegian University of Science and Technology · NOUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

adipose tissuecardiorespiratory fitnesscell sizeendocrinologyexerciseinsulin resistancemetabolic flexibilitymitochondrial respiration

Identifiers

PMID33841184
PMCPMC8024574
OpenAlexW3139432873

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.