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The effect of anaemia and abnormalities of erythrocyte indices on HbA1c analysis: a systematic review

Overview of attention for article published in Diabetologia, May 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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1 policy source
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8 X users
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3 Facebook pages

Citations

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166 Dimensions

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208 Mendeley
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1 CiteULike
Title
The effect of anaemia and abnormalities of erythrocyte indices on HbA1c analysis: a systematic review
Published in
Diabetologia, May 2015
DOI 10.1007/s00125-015-3599-3
Pubmed ID
Authors

Emma English, Iskandar Idris, Georgina Smith, Ketan Dhatariya, Eric S. Kilpatrick, W. Garry John

Abstract

The use of HbA1c for the diagnosis of diabetes is now widely advocated despite caveats to its use. Anaemia is cited as a major confounder to this use; however, the effect of erythrocyte indices and to what degree anaemia influences HbA1c levels is not known. A systematic electronic database search of MEDLINE, EMBASE, the Cumulative Index to Nursing & Allied Health Literature (CINAHL) and the Cochrane Library was conducted for relevant articles published between January 1990 and May 2014. Included studies had at least one measurement of HbA1c and glucose, and a least one index of haematinic deficiency, involving non-pregnant adults, not known to have diabetes. A total of 12 articles from 544 were included. The majority of studies focused on iron deficiency anaemia (IDA) and, in general, demonstrated that the presence of iron deficiency with or without anaemia led to an increase in HbA1c values compared with controls, with no concomitant rise in glucose indices. Data on the effects of other indices of erythrocyte abnormalities on HbA1c are limited but show a possible decrease in HbA1c values with non-iron deficiency forms of anaemia. HbA1c is likely to be affected by iron deficiency and IDA with a spurious increase in HbA1c values; conversely, non-IDA may lead to a decreased HbA1c value. This may lead to confusion when diagnosing diabetes using HbA1c. This review clearly identifies the need for more evidence, especially in identifying the types and degrees of anaemia likely to have significant impact on the reliability of HbA1c.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 208 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Norway 1 <1%
Unknown 207 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 30 14%
Researcher 27 13%
Student > Ph. D. Student 17 8%
Student > Bachelor 17 8%
Other 14 7%
Other 45 22%
Unknown 58 28%
Readers by discipline Count As %
Medicine and Dentistry 85 41%
Biochemistry, Genetics and Molecular Biology 12 6%
Nursing and Health Professions 9 4%
Agricultural and Biological Sciences 8 4%
Pharmacology, Toxicology and Pharmaceutical Science 5 2%
Other 22 11%
Unknown 67 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 16 October 2021.
All research outputs
#3,816,077
of 24,041,016 outputs
Outputs from Diabetologia
#1,749
of 5,207 outputs
Outputs of similar age
#47,229
of 270,424 outputs
Outputs of similar age from Diabetologia
#23
of 74 outputs
Altmetric has tracked 24,041,016 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,207 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.9. This one has gotten more attention than average, scoring higher than 66% 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 270,424 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.