Related Experiment Video
Updated: Feb 3, 2026

07:47
Reporter-based Growth Assay for Systematic Analysis of Protein Degradation
Published on: November 6, 2014
11.1K
Patient-reported outcomes for keloids: a systematic review.
1Department of Dermatology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Summary
Patient-reported outcomes (PROs) offer crucial insights into keloid treatment success, highlighting discrepancies with physician assessments. Developing keloid-specific PROs may improve management strategies and patient quality of life.
Area of Science:
- Dermatology
- Clinical Research
- Patient-Reported Outcomes
Background:
- Keloids represent abnormal scarring following skin injury.
- Physician-reported outcomes (e.g., scar thickness) may not align with patient experiences.
- Patient perspectives are vital for comprehensive keloid management.
Purpose of the Study:
- To review existing patient-reported outcome measures (PROMs) for keloids.
- To analyze patient-reported outcomes (PROs) across various keloid treatment modalities.
Main Methods:
- A systematic literature search was performed across PubMed, Ovid/Medline, and EMBASE.
- Studies evaluating keloids using at least one PROM were included in the review.
Main Results:
- Thirty studies were identified, focusing on PROMs, quality of life, and treatments.
- The Patient and Observer Scar Assessment Scale (POSAS) was frequently used, but patient and observer scores often disagreed.
- Keloid patients reported significantly worse quality of life; multimodal treatments showed better PROs.
Conclusions:
- PROs provide essential data on patient perceptions and treatment goals in keloid management.
- There is a need for keloid-specific PROMs that integrate scar assessment and quality of life.
- Improved PROMs can enhance the understanding and effectiveness of keloid treatments.
Related Concept Videos
Review and Preview
8.4K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview
11.3K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.3K
Data Reporting and Recording
5.4K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
5.4K
Predicting Reaction Outcomes
10.8K
Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
10.8K
Random and Systematic Errors
14.9K
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
14.9K
Systematic Sampling Method
13.3K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
Systematic sampling is one of the simplest methods...
13.3K

