Evidence map›Paper›PMID 33520794›Full record

ArticleJournal of diabetes and metabolic disorders2020

Effects of interval training on cardio metabolic risk factors and nitric oxide in type 2 diabetes patients: a randomized controlled trial.

Tahereh Arefirad, Nader Shakeri, Khosro Ebrahim, Ensieh Nasli-Esfahani

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of diabetes and metabolic disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
1.2field-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.

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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. 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

4 authors at 3 institutions in 1 country.

Tahereh ArefiradDepartment of Exercise Physiology, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Nader ShakeriDepartment of Exercise Physiology, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Khosro EbrahimDepartment of Exercise Physiology, Faculty of Physical Education & Sport Sciences, Shahid Beheshti University, Tehran, Iran.
Ensieh Nasli-EsfahaniDiabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Islamic Azad University, Science and Research Branch · IRShahid Beheshti University · IRTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study was to investigate the effects of interval training on cardio metabolic risk factors and nitric oxide in type 2 diabetes patients.

methodThis single blinded randomized controlled trial was conducted at cardiology clinic of Rajaee hospital in Karaj. Thirty female patients with type 2 diabetes randomly assigned to interval training exercise (

resultsIn intervention group, comparing with controls participants, a significant decrease were observed in levels of total cholesterol, triglyceride and HA1c after training program (

conclusionResults of current study showed that interval training as a type of planned physical activity can be effective in lowering cardiovascular risk factors, especially lowering cholesterol and triglycerides, and can also have a beneficial effect on improving NO.

Indexed as

Cardio metabolic risk factorsCMRFsDiabetes mellitus type 2Insulin resistanceInterval trainingNitric oxide

Identifiers

PMID33520794
PMCPMC7843774
OpenAlexW3089819688

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.