Diabetes Res Clin Pract June 2009 PMID 19380169

Analysis of the method for conversion between levels of HbA1c and glycated albumin by linear regression analysis using a measurement error model.

Yasuhiro Tahara

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Mentions

8
Peak: 4 in Nov 2024
across 2 sources since May 2023

Extended reach

49,185
potential audience

Total likes

129

Video views

10,503

Mentions per month

May 2023 – Dec 2024

Where it's discussed

  • YouTube5 videos
  • X / Twitter3 posts

AI synopsis

What people are saying

Discussions highlight specific numerical conversions, such as the conversion factors 1.7 and 2.1, indicating interest in the practical application of the research. The tone is factual and concise, reflecting a moderate engagement with the study's details without extensive analysis or critique.

AgreementModerate agreement

Most posts agree with the findings, referencing the conversion factors (like 1.7 and 2.1) that support the article's conclusions.

InterestModerate interest

Discussions show a moderate level of interest, focusing on specific conversion values rather than broader implications.

EngagementModerate engagement

Posts briefly acknowledge the relationships indicated in the study but do not delve deeply into methodology or clinical impact.

ImpactNeutral impact

The comments imply some recognition of the study's relevance but do not suggest major influence on practice or future research.

Abstract in brief

  • The study aimed to develop a conversion method between HbA1c and glycated albumin (GA) using a measurement error model (MEM), focusing on type 2 diabetic patients without complications, and found a strong correlation (r=0.747) between the two markers.
  • The analysis revealed that the relationship between HbA1c and GA could be described by a regression line using MEM, with a slope indicating that a 1% increase in HbA1c corresponds to roughly a 4% increase in GA, and a slight positive shift in Japanese HbA1c levels.
  • The findings suggest that the conversion model provides consistent and reliable estimates, aligning well with laboratory data, and could improve how clinicians interpret HbA1c and GA levels in diabetes management.]

Top posts

Most liked on X and Bluesky
筋肉博士
@muscle_penguin_ · X

正確には、HbA1c(JDS)=GA÷4+1.7ですかね。 ほぼ、+2.1ですけど。 https://t.co/CSLysucYAh https://t.co/3lNMNABYT9

May 26, 2023 · 35 likes · 3 shares · 36,429 followers View post →
とんぺー(おっでぃ) かす医
@toshiki_oshiro · X

RT @muscle_penguin_: 正確には、HbA1c(JDS)=GA÷4+1.7ですかね。 ほぼ、+2.1ですけど。 https://t.co/CSLysucYAh

May 27, 2023 · 3 shares · 1,656 followers View post →

All mentions

とんぺー(おっでぃ) かす医
@toshiki_oshiro · X

RT @muscle_penguin_: 正確には、HbA1c(JDS)=GA÷4+1.7ですかね。 ほぼ、+2.1ですけど。 https://t.co/CSLysucYAh

May 27, 2023 · 3 shares · 1,656 followers View post →
無能すぎる鉄@発達障害
@Kuztetu0930 · X

RT @muscle_penguin_: 正確には、HbA1c(JDS)=GA÷4+1.7ですかね。 ほぼ、+2.1ですけど。 https://t.co/CSLysucYAh

May 26, 2023 · 3 shares · 580 followers View post →
筋肉博士
@muscle_penguin_ · X

正確には、HbA1c(JDS)=GA÷4+1.7ですかね。 ほぼ、+2.1ですけど。 https://t.co/CSLysucYAh https://t.co/3lNMNABYT9

May 26, 2023 · 35 likes · 3 shares · 36,429 followers View post →