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Related Concept Videos

Variability: Analysis01:11

Variability: Analysis

Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
Hyperglycemia01:29

Hyperglycemia

Hyperglycemia is an abnormally high blood glucose level. It is diagnosed by fasting glucose ≥126 mg/dL, 2-hour oral glucose tolerance test (or OGTT) ≥200 mg/dL, random glucose ≥200 mg/dL with symptoms, or HbA1c ≥6.5%. However, HbA1c results may be unreliable in certain conditions, such as anemia or hemoglobinopathies, and the diagnosis should be confirmed unless classic symptoms are present. Postprandial hyperglycemia is typically considered significant when glucose levels exceed 180 mg/dL two...
Type II Diabetes Mellitus III: Clinical Manifestations and Diagnosis01:25

Type II Diabetes Mellitus III: Clinical Manifestations and Diagnosis

Type 2 diabetes mellitus develops gradually and is often asymptomatic in early stages.Clinical ManifestationsWhen symptoms appear, they include fatigue, blurred vision, pruritus, delayed wound healing, and recurrent infections, particularly candidal infections. Peripheral neuropathy may present as numbness or tingling in the extremities. Classic hyperglycemia symptoms—polyuria, polydipsia, and polyphagia—are less common. Most patients are overweight and frequently have associated hypertension...
Diabetes Mellitus: Type 2 and Gestational01:22

Diabetes Mellitus: Type 2 and Gestational

Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...
Guidelines For Measuring Vital Signs01:19

Guidelines For Measuring Vital Signs

Following these guidelines can help nurses accurately measure vital signs, assess changes in patient conditions, and provide timely treatment when necessary. Adhering closely to the guidelines ensures the accuracy and reliability of the results.
Before taking a patient's vital signs, a nurse would consider and assess the patient's comfort level and ensure appropriate equipment is available.
What is Variation?01:14

What is Variation?

Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...

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Related Experiment Video

Updated: Jun 8, 2026

Glycemic Impact on Knee Osteoarthritis Symptoms on Physical, Radiographic, and Inflammatory Markers among Individuals Aged 50 and Over with Diabetes
07:22

Glycemic Impact on Knee Osteoarthritis Symptoms on Physical, Radiographic, and Inflammatory Markers among Individuals Aged 50 and Over with Diabetes

Published on: March 7, 2025

Assessing glycemic variation: why, when and how?

Fergus J Cameron1, Peter A Baghurst, David Rodbard

  • 1Department of Endocrinology and Diabetes, Royal Children's Hospital, University of Melbourne, Murdoch Children's Research Institute Parkville, Melbourne, Victoria 3052, Australia. fergus.cameron@rch.org.au

Pediatric Endocrinology Reviews : PER
|September 30, 2010
PubMed
Summary
This summary is machine-generated.

Glycosylated hemoglobin (A1C) is insufficient for managing type 1 diabetes mellitus (T1DM). Glycemic variation (GV), measured by continuous glucose monitoring (CGM), offers new insights into metabolic control and diabetes complications.

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Glycemic Impact on Knee Osteoarthritis Symptoms on Physical, Radiographic, and Inflammatory Markers among Individuals Aged 50 and Over with Diabetes
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08:01

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Published on: August 12, 2016

Area of Science:

  • Endocrinology
  • Metabolic Research
  • Diabetes Technology

Background:

  • Glycosylated hemoglobin (A1C) has been the primary clinical outcome in type 1 diabetes mellitus (T1DM) care.
  • A1C explains only about 25% of the risk for microvascular complications.
  • Emerging research highlights the significance of glucose's transcription-regulating actions and metabolic memory.

Purpose of the Study:

  • To review the importance of measuring glycemic variation (GV) in T1DM management.
  • To discuss the optimal circumstances for assessing GV.
  • To explore the most suitable GV metrics for different clinical purposes.

Main Methods:

  • Review of current literature on glycemic variation (GV) and its measurement.
  • Analysis of the role of continuous glucose monitoring (CGM) in assessing GV.
  • Discussion of the relationship between GV, metabolic control, and diabetes complications.

Main Results:

  • A1C alone is a limited predictor of T1DM complications.
  • Continuous glucose monitoring (CGM) enables the assessment of glycemic variation (GV).
  • GV is increasingly recognized for its association with oxidative stress and microvascular pathology.

Conclusions:

  • There is a need for consensus on the clinical significance and measurement of GV in T1DM.
  • GV assessment, facilitated by CGM, may provide a more comprehensive understanding of metabolic control.
  • Further research is needed to establish standardized GV metrics for clinical practice.