Evidence map›Paper›PMID 26604100›Full record

SynthesisSports medicine (Auckland, N.Z.)2016

In Search of the Ideal Resistance Training Program to Improve Glycemic Control and its Indication for Patients with Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis.

Hajime Ishiguro, Satoru Kodama, Chika Horikawa, Kazuya Fujihara, Ayumi Sugawara Hirose, Reiko Hirasawa, Yoko Yachi, Nobumasa Ohara, Hitoshi Shimano, Osamu Hanyu and 1 more

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Sports medicine (Auckland, N.Z.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 12 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

43 citing papers in PubMed, 12 syntheses or guidelines pooled it.

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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

11 authors.

Hajime IshiguroDepartment of Hematology, Endocrinology and Metabolism, Faculty of Medicine, Niigata University, Niigata, Niigata, Japan.
Satoru KodamaDepartment of Laboratory Medicine and Clinical Epidemiology, for Prevention of Noncommunicable Diseases, Graduate School of Medical and Dental Sciences, Niigata University, 1-757 Asahimachi-dori, Chuoh-ku, Niigata, 951-8510, Japan. ybbkodama@gmail.com.
Chika HorikawaDepartment of Health and Nutrition, Faculty of Human Life Studies, University of Niigata Prefecture, Niigata, Niigata, Japan.
Kazuya FujiharaDepartment of Endocrinology and Metabolism, Institute of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Ayumi Sugawara HiroseFaculty of Human Welfare, Child Studies, Seigakuin University, Saitama, Japan.
Reiko HirasawaDepartment of Hematology, Endocrinology and Metabolism, Faculty of Medicine, Niigata University, Niigata, Niigata, Japan.
Yoko YachiDepartment of Faculty of Health and Nutrition, Yamanashi Gakuin University, Kofu, Yamanashi, Japan.
Nobumasa OharaDepartment of Hematology, Endocrinology and Metabolism, Faculty of Medicine, Niigata University, Niigata, Niigata, Japan.
Hitoshi ShimanoDepartment of Endocrinology and Metabolism, Institute of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Osamu HanyuDepartment of Hematology, Endocrinology and Metabolism, Faculty of Medicine, Niigata University, Niigata, Niigata, Japan.
Hirohito SoneDepartment of Hematology, Endocrinology and Metabolism, Faculty of Medicine, Niigata University, Niigata, Niigata, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResistance training (RT) is effective for glycemic control in type 2 diabetes mellitus (T2DM) patients. However, the characteristics of an RT program that will maximize its effect and those of patients that will especially benefit from RT are unknown.

objectiveThe objectives of this systematic review were to identify via a comprehensive meta-analysis the characteristics of an RT program for patients with T2DM that might increase the patients' improvement in glycemic control and the characteristics of patients that will benefit from RT. DATA SOURCES: Electronic-based literature searches of MEDLINE and EMBASE entries from 1 January 1966 to 25 August 2014 were conducted to identify clinical trials examining the effect of RT on glycemic control among patients with T2DM. Study keywords were text words and thesaurus terms related to RT and T2DM. STUDY SELECTION: Studies were included if they (1) were clinical trials consisting of two groups with and without RT exercise intervention; (2) had an intervention period of at least 5 weeks; (3) clarified that all patients had T2DM; and (4) reported or made it possible to estimate the effect size [i.e., change in glycosylated hemoglobin (HbA1c) in the RT group minus that in the control group] and its corresponding standard error. STUDY APPRAISAL AND SYNTHESIS

methodsThe effect size in each study was pooled with a random-effects model. Analyses were stratified by several key characteristics of the patients and RT exercise programs; meta-regression analysis was then used to detect a difference in the effect size among strata within each factor. Linear regression analyses were added by entering each of the following profiles: patients' baseline characteristics [mean baseline age, body mass index (BMI), and HbA1c levels] and exercise characteristics (total sets per week, total sets per bout of exercise, frequency, and intensity).

resultsThere were 23 eligible studies comprising 954 patients with T2DM. The pooled effect size (95% confidence interval) was -0.34% (-0.53 to -0.16). A program with multiple sets (≥21 vs. <21) per one RT bout was associated with a large effect size (P = 0.03); however, the linear correlation between the number of sets and effect size was not significant (P = 0.56). A larger effect size was observed in studies with participants with diabetes of a relatively short duration (<6 vs. ≥6 years; P = 0.04) or a high baseline HbA1c [≥7.5% (58 mmol/mol) vs. <7.5 %; P = 0.01] while a smaller effect size was observed in studies with a particularly high mean baseline BMI value (≥32 vs. <32 kg/m(2); P = 0.03). Linear regression analyses predicted that each increment of 1% in the baseline HbA1c would enlarge the effect size by 0.036%, while each increment of 1 kg/m2 in the baseline BMI decreased it by 0.070% in the range between 22.3 and 38.8 kg/m2.

conclusionIn terms of glycemic control, RT could be recommended in the early stage of T2DM, especially for patients with relatively poor glycemic control. More benefit would be elicited in less obese patients within a limited range of the BMI. A substantial amount of exercise might be required to stimulate post-exercise glucose uptake, although the dose-dependency was not specifically clarified.

Indexed as

Blood GlucoseBody Mass IndexDiabetes Mellitus, Type 2Glycated HemoglobinHumansResistance TrainingBlood GlucoseGlycated Hemoglobin

Identifiers

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Read underepoch 390

Registered trials

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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.