Related Experiment Video
Updated: Jan 22, 2026

06:46
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
652
Comorbidities and Survival in Patients With Lipodystrophy: An International Chart Review Study
Baris Akinci1, Elif A Oral2, Adam Neidert2
1Dokuz Eylül University, Izmir, Turkey.
The Journal of Clinical Endocrinology and Metabolism
|July 18, 2019
Summary
This study tracked patients with generalized lipodystrophy (GL) and partial lipodystrophy (PL) who never received specific therapies. It found high rates of diabetes and organ damage, with earlier onset in GL patients.
Area of Science:
- Endocrinology
- Metabolic Disorders
- Genetics
Background:
- Limited natural history data exists for non-HIV-related lipodystrophy syndromes without prior specific therapies.
- Interpreting treatment benefits is challenging due to this data gap.
Purpose of the Study:
- To assess the natural history of non-HIV-related generalized lipodystrophy (GL) and partial lipodystrophy (PL).
- To analyze outcomes in patients who have never received leptin or other lipodystrophy-specific therapies.
Main Methods:
- International chart review of 230 patients with confirmed GL or PL.
- Observation from birth to loss to follow-up, death, or chart abstraction.
- Analysis of lifetime prevalence of diabetes/insulin resistance and organ abnormalities.
Main Results:
- 58.3% of patients developed diabetes/insulin resistance.
- Liver abnormalities (71.7%) were most common, followed by kidney (40.4%), heart (30.4%), and pancreatitis (13.0%).
- Earlier onset of organ abnormalities and disease progression observed in GL compared to PL.
Conclusions:
- This study provides comprehensive, long-term natural history data for non-HIV-related lipodystrophy.
- Findings are crucial for understanding disease progression and evaluating future therapies.
More Related Videos
Related Concept Videos
Run Charts
276
Run charts serve as an essential instrument for visualizing the performance of various processes over time, enabling the identification of trends and patterns crucial for quality improvement. These charts map out a series of data points chronologically, offering insights into the stability and efficiency of a process. A run chart's creation involves plotting data points on a graph, with the time intervals on the horizontal axis and the specific measurements on the vertical axis. For...
276
The R Chart
382
In statistical process control, control charts, particularly R charts, are instrumental in monitoring process variations and identifying non-random patterns that run charts might miss. R charts track the variability within process subgroups, which is crucial when standard deviation use is impractical or unknown process variations exist.
R charts are pivotal for pinpointing shifts in process variability. Stability is indicated when all data points remain within the defined upper and lower...
R charts are pivotal for pinpointing shifts in process variability. Stability is indicated when all data points remain within the defined upper and lower...
382
Interpreting R Charts
343
R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
343
Pareto Chart
7.6K
A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
7.6K
Interpreting Run Charts
3.0K
Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
3.0K
The X̄ Chart
454
The x̄ chart is a statistical tool for monitoring the means in a process.
The x̄ chart, often known as the individual control chart, is a crucial tool in statistical process control. It is designed to monitor process behavior and performance over time and is widely used in various industries to ensure that processes are operating at their optimum capacity and within specified limits.
A x̄ chart is constructed by plotting individual measurements of a quality...
The x̄ chart, often known as the individual control chart, is a crucial tool in statistical process control. It is designed to monitor process behavior and performance over time and is widely used in various industries to ensure that processes are operating at their optimum capacity and within specified limits.
A x̄ chart is constructed by plotting individual measurements of a quality...
454

