Evidence map›Paper›PMID 28405345›Full record

ArticleBMJ open diabetes research & care2017

Lower glycemic load meals reduce diurnal glycemic oscillations in women with risk factors for gestational diabetes.

Nathalie V Kizirian, Janina Goletzke, Shannon Brodie, Fiona S Atkinson, Tania P Markovic, Glynis P Ross, Anette Buyken, Jennie P Brand-Miller

Abstract read
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In one paragraph

Article in BMJ open diabetes research & care, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. A Review of Research Progress on Glycemic Variability and Gestational Diabetes.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020
    Review
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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

8 authors.

Nathalie V KizirianCharles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia; School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia.
Janina GoletzkeCharles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia; School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia; IEL-Nutritional Epidemiology, University of Bonn, DONALD Study, Dortmund, Germany.
Shannon BrodieCharles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia; School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia; Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, The University of Sydney, Sydney, New South Wales, Australia.
Fiona S AtkinsonCharles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia; School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia.
Tania P MarkovicBoden Institute of Obesity, Nutrition, Exercise & Eating Disorders, The University of Sydney, Sydney, New South Wales, Australia; Department of Endocrinology, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia.
Glynis P RossDepartment of Endocrinology, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia; Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia.
Anette BuykenIEL-Nutritional Epidemiology , University of Bonn, DONALD Study , Dortmund , Germany.
Jennie P Brand-MillerCharles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia; School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia; Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, The University of Sydney, Sydney, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMaternal glycemia plays a key role in fetal growth. We hypothesized that lower glycemic load (GL) meals (lower glycemic index, modestly lower carbohydrate) would substantially reduce day-long glucose variability in women at risk of gestational diabetes mellitus (GDM). RESEARCH DESIGN AND

methodsA crossover study of 17 women (mean±SD age 34.8±4 years; gestational weeks 29.3±1.3; body mass index 23.8±4.7 kg/m

resultsMaternal glucose levels were 51% lower on the low GL day with lower incremental area under the curve (iAUC±SEM 549±109 vs 1120±198 mmol/L min, p=0.015). Glycemic variability was significantly lower on the low GL day, as demonstrated by a lower average SD (0.7±0.1 vs 0.9±0.1, p<0.001) and lower mean amplitude of glycemic excursions (2.1±0.2 vs 2.7±0.2 mmol/L, p<0.001).

conclusionsA lower GL meal plan in pregnancy acutely halves day-long maternal glucose levels and reduces glucose variability, providing further evidence to support the utility of a low GL diet in pregnancy.

Indexed as

Continuous Glucose MonitoringGestational Diabetes MellitusGlycemic IndexPregnancy

Identifiers

PMID28405345
PMCPMC5372136

What OpenQuestion holds

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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.