Evidence map›Paper›PMID 29218018›Full record

ArticleFrontiers in physiology2017

Aerobic Interval Training and Cardiometabolic Health in Patients with Type 2 Diabetes: A Meta-Analysis.

Shanhu Qiu, Xue Cai, Zilin Sun, Martina Zügel, Jürgen M Steinacker, Uwe Schumann

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in physiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 6 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

13 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  3. Dose-Dependent Effect of Supervised Aerobic Exercise on HbASports medicine (Auckland, N.Z.) · 2022
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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.

Shanhu QiuDepartment of Endocrinology, Institute of Diabetes, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, China.
Xue CaiDepartment of Endocrinology, Institute of Diabetes, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, China.
Zilin SunDepartment of Endocrinology, Institute of Diabetes, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, China.
Martina ZügelDivision of Sports and Rehabilitation Medicine, Ulm University Medical Center, Ulm, Germany.
Jürgen M SteinackerDivision of Sports and Rehabilitation Medicine, Ulm University Medical Center, Ulm, Germany.
Uwe SchumannDivision of Sports and Rehabilitation Medicine, Ulm University Medical Center, Ulm, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vigorous to maximal aerobic interval training (INT) has received remarkable interest in improving cardiometabolic outcomes for type 2 diabetes patients recently, yet with inconsistent findings. This meta-analysis was aimed to quantify its effectiveness in type 2 diabetes. Randomized controlled trials (RCTs) were identified by searches of 3 databases to October 2017, which evaluated the effects of INT with a minimal training duration of 8 weeks vs. moderate-intensity continuous training (MICT) or non-exercise training (NET) among type 2 diabetes patients on outcomes including cardiorespiratory fitness, glycemic control, body composition, blood pressure, and lipid profiles. Weighted mean differences with 95% confidence intervals (CIs) were calculated with the random-effects model. Nine datasets from 7 RCTs with 189 patients were included. Compared with MICT, INT improved maximal oxygen consumption (VO

Indexed as

aerobic interval trainingcardiorespiratory fitnessglycemic controlmoderate-intensity continuous trainingtype 2 diabetes

Identifiers

PMID29218018
PMCPMC5703832

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.