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Changes in metabolic indices in response to whole blood donation in male subjects with normal glucose tolerance

Overview of attention for article published in Clinical Biochemistry, August 2015
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Article details
Title
Changes in metabolic indices in response to whole blood donation in male subjects with normal glucose tolerance
Published in
Clinical Biochemistry, August 2015
DOI 10.1016/j.clinbiochem.2015.08.023
Pubmed ID
Authors
Abstract

Previous studies have investigated the impact of venesection upon different metabolic indices in patients with various conditions (e.g., type 2 diabetes and iron overload). We aimed to investigate the changes on different metabolic indices including glycemic, iron, lipids and inflammatory markers at different time points after blood donation in male subjects with normal glucose tolerance. 42 male subjects were recruited to the study. Glucose tolerance was assessed by oral glucose tolerance test before (visit A) and after the blood donation (1day, visit B; 1week, visit C; 3weeks, visit D; and 3months, visit E). Fasting glucose, HbA1c, insulin, lipids, uric acid, C-reactive protein and insulin resistance (HOMA-IR, ISI-gly) indices were measured. A repeated measures ANOVA was used for comparisons of quantitative variables between different visits. All subjects had normal glucose tolerance according to WHO criteria. Fasting glucose, insulin and HOMA-IR were significantly higher (~2%, p<0.05; ~21%, p<0.01; and ~11%, p<0.05 respectively) at visit B following donation. At visit D, the mean±SE for HbA1c (5.28±0.06%) was significantly lower with a difference in percentage of ~-3% and p<0.05 compared to visit A (5.44±0.06%). Ferritin decreased significantly at visits B, C, D and E (~-8%, p<0.01, ~-24%, p<0.001, ~-39%, p<0.001 and ~-29%, p<0.01 respectively), when compared to visit A. At different time points after blood donation, glycemic status and iron stores are affected significantly in male blood donors with normal glucose tolerance. The changes were particularly evident three weeks after donation. Hence, the interpretation of these parameters in male blood donors needs to take this into account, and the mechanisms resulting in these effects need to be clarified.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Malaysia 1 3%
Unknown 34 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 8 23%
Student > Master 4 11%
Researcher 3 9%
Other 2 6%
Professor 2 6%
Other 1 3%
Unknown 15 43%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 11 31%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Biochemistry, Genetics and Molecular Biology 2 6%
Agricultural and Biological Sciences 2 6%
Veterinary Science and Veterinary Medicine 1 3%
Other 3 9%
Unknown 14 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 January 2021.
All research outputs
#22,185,910
of 31,916,488 outputs
Outputs from Clinical Biochemistry
#1,740
of 2,737 outputs
Outputs of similar age
#181,778
of 293,451 outputs
Outputs of similar age from Clinical Biochemistry
#22
of 35 outputs
Altmetric has tracked 31,916,488 research outputs across all sources so far. This one is in the 28th percentile – i.e., 28% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,737 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 35th percentile – i.e., 35% 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 293,451 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.