Evidence map›Paper›PMID 17544042›Full record

SynthesisPublic health2007

Effects of aerobic exercise on lipids and lipoproteins in adults with type 2 diabetes: a meta-analysis of randomized-controlled trials.

G A Kelley, K S Kelley

Abstract readMeta-Analysis
In one paragraph

Synthesis in Public health, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 10 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

55 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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  7. Exercise training modalities in patients with type 2 diabetes mellitus: a systematic review and network meta-analysis.The international journal of behavioral nutrition and physical activity · 2018
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  20. 10-20-30 exercise training improves fitness and health.European journal of sport science · 2024
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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

2 authors.

G A KelleySchool of Medicine, Department of Community Medicine, West Virginia University, P.O. Box 9190, Morgantown, WV, USA. gkelley@hsc.wvu.edu
K S Kelley

Funding

Aerobic Exercise, Diet and Cholesterol: A Meta-AnalysisR01HL069802 · NHLBI · WEST VIRGINIA UNIVERSITY · PI KELLEY, GEORGE A · 2002 to 2010
$866k
NHLBI NIH HHS R01 HL069802NHLBI NIH HHS R01-HL069802
6 · The paper itself

Abstract

objectiveTo conduct a meta-analysis of randomized-controlled trials in order to examine the effects of 8 weeks or more of aerobic exercise on lipids and lipoproteins in adults with Type 2 diabetes.

methodsStudies were included if total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), ratio of TC to HDL-C (TC/HDL-C), triglycerides (TG), or all of the above, were assessed. A secondary outcome was glycosylated haemoglobin (HbA1).

resultsSeven studies representing 220 men and women (112 exercise, 108 control) were available for pooling. Using a random-effects model, a statistically significant reduction of about 5% was found for LDL-C, whereas no statistically significant improvements were found for TC, HDL-C, TC/HDL-C or TG. A trend for a statistically significant reduction in HbA1 was also found.

conclusionsAlthough our overall results suggest that aerobic exercise lowers LDL-C in adults with Type 2 diabetes, additional randomized-controlled trials are needed on this topic.

Indexed as

AdultAgedAge FactorsDiabetes Mellitus, Type 2ExerciseFemaleGlycated HemoglobinHumansLipidsLipoproteinsMaleMiddle AgedRandomized Controlled Trials as TopicTriglyceridesGlycated HemoglobinLipidsLipoproteinsTriglycerides

Identifiers

PMID17544042
PMCPMC1993837

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.