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Effect of non-oil-seed pulses on glycaemic control: a systematic review and meta-analysis of randomised controlled experimental trials in people with and without diabetes

Overview of attention for article published in Diabetologia, June 2009
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
2 news outlets
blogs
2 blogs
policy
1 policy source
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12 X users
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1 Facebook page
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1 Google+ user
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3 YouTube creators

Citations

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220 Dimensions

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mendeley
231 Mendeley
Title
Effect of non-oil-seed pulses on glycaemic control: a systematic review and meta-analysis of randomised controlled experimental trials in people with and without diabetes
Published in
Diabetologia, June 2009
DOI 10.1007/s00125-009-1395-7
Pubmed ID
Authors

J. L. Sievenpiper, C. W. C. Kendall, A. Esfahani, J. M. W. Wong, A. J. Carleton, H. Y. Jiang, R. P. Bazinet, E. Vidgen, D. J. A. Jenkins

Abstract

Dietary non-oil-seed pulses (chickpeas, beans, peas, lentils, etc.) are a good source of slowly digestible carbohydrate, fibre and vegetable protein and a valuable means of lowering the glycaemic-index (GI) of the diet. To assess the evidence that dietary pulses may benefit glycaemic control, we conducted a systematic review and meta-analysis of randomised controlled experimental trials investigating the effect of pulses, alone or as part of low-GI or high-fibre diets, on markers of glycaemic control in people with and without diabetes. We searched MEDLINE, EMBASE, CINAHL, and the Cochrane Library for relevant controlled trials of >or=7 days. Two independent reviewers (A. Esfahani and J. M. W. Wong) extracted information on study design, participants, treatments and outcomes. Data were pooled using the generic inverse variance method and expressed as standardised mean differences (SMD) with 95% CIs. Heterogeneity was assessed by chi (2) and quantified by I (2). Meta-regression models identified independent predictors of effects. A total of 41 trials (39 reports) were included. Pulses alone (11 trials) lowered fasting blood glucose (FBG) (-0.82, 95% CI -1.36 to -0.27) and insulin (-0.49, 95% CI -0.93 to -0.04). Pulses in low-GI diets (19 trials) lowered glycosylated blood proteins (GP), measured as HbA(1c) or fructosamine (-0.28, 95% CI -0.42 to -0.14). Finally, pulses in high-fibre diets (11 trials) lowered FBG (-0.32, 95% CI -0.49 to -0.15) and GP (-0.27, 95% CI -0.45 to -0.09). Inter-study heterogeneity was high and unexplained for most outcomes, with benefits modified or predicted by diabetes status, pulse type, dose, physical form, duration of follow-up, study quality, macronutrient profile of background diets, feeding control and design. Pooled analyses demonstrated that pulses, alone or in low-GI or high-fibre diets, improve markers of longer term glycaemic control in humans, with the extent of the improvements subject to significant inter-study heterogeneity. There is a need for further large, well-designed trials.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 231 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 <1%
Italy 1 <1%
Australia 1 <1%
Finland 1 <1%
Canada 1 <1%
Unknown 225 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 38 16%
Student > Ph. D. Student 33 14%
Researcher 31 13%
Student > Master 29 13%
Other 17 7%
Other 31 13%
Unknown 52 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 23%
Medicine and Dentistry 52 23%
Nursing and Health Professions 25 11%
Biochemistry, Genetics and Molecular Biology 10 4%
Economics, Econometrics and Finance 5 2%
Other 22 10%
Unknown 64 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 46. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 August 2022.
All research outputs
#882,750
of 25,081,505 outputs
Outputs from Diabetologia
#470
of 5,337 outputs
Outputs of similar age
#2,296
of 118,900 outputs
Outputs of similar age from Diabetologia
#2
of 40 outputs
Altmetric has tracked 25,081,505 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,337 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.5. This one has done particularly well, scoring higher than 91% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 118,900 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.