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Changing the protocol for gestational diabetes mellitus screening

Overview of attention for article published in Australian & New Zealand Journal of Obstetrics & Gynaecology, July 2015
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Changing the protocol for gestational diabetes mellitus screening
Published in
Australian & New Zealand Journal of Obstetrics & Gynaecology, July 2015
DOI 10.1111/ajo.12346
Pubmed ID
Authors

Dora Ng, Michael Beckmann, Harold David Mcintyre, Shelley A Wilkinson

Abstract

Gestational diabetes mellitus (GDM) affects 5-8% of pregnant women in Australia and is linked to adverse maternal and neonatal outcomes. Earlier diagnosis and treatment has been suggested to improve these outcomes. To describe the experience of a change in GDM screening policy at a large tertiary hospital. A 6-month audit was performed following a policy change involving introduction of screening for all women early in pregnancy (by either random blood glucose level (BGL) or oral glucose tolerance testing (OGTT), depending on their perceived risk of developing GDM), followed by universal OGTT at 26-28 weeks' gestation. The prevalence of GDM (including changes expected from new Australasian Diabetes in Pregnancy Society (ADIPS) criteria), maternal and neonatal outcomes and adherence to new screening policy are reported. The prevalence of GDM was 7.9% (1.6% early, 6.3% later diagnoses). More women with early diagnoses required insulin. Early testing with random BGL for low-risk women only identified 1.7% of those with GDM. Early OGTT for high-risk women identified 24.9% of GDM diagnoses. Adherence to the new screening protocol was generally poor, with 26% adherence at booking, 64% at 26 weeks' gestation and 27% with unknown GDM status. While early testing with OGTT for high-risk women may be helpful, the value of early testing with random BGL for low-risk women is questionable. The new ADIPS criteria are likely to increase the number of women diagnosed with GDM (with an emphasis on earlier diagnosis), but the absolute increase remains small.

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X Demographics

The data shown below were collected from the profiles of 3 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 1%
Unknown 74 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 28%
Student > Bachelor 11 15%
Researcher 8 11%
Student > Ph. D. Student 8 11%
Student > Doctoral Student 5 7%
Other 9 12%
Unknown 13 17%
Readers by discipline Count As %
Medicine and Dentistry 24 32%
Nursing and Health Professions 16 21%
Pharmacology, Toxicology and Pharmaceutical Science 9 12%
Biochemistry, Genetics and Molecular Biology 3 4%
Agricultural and Biological Sciences 2 3%
Other 6 8%
Unknown 15 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 18 December 2015.
All research outputs
#14,600,553
of 25,374,917 outputs
Outputs from Australian & New Zealand Journal of Obstetrics & Gynaecology
#919
of 1,507 outputs
Outputs of similar age
#126,251
of 276,300 outputs
Outputs of similar age from Australian & New Zealand Journal of Obstetrics & Gynaecology
#24
of 44 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,507 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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 276,300 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.