Related Experiment Video
Updated: Jan 28, 2026
07:14
A Quantitative Sensory Testing Paradigm to Obtain Measures of Pain Processing in Patients Undergoing Breast Cancer Surgery
Published on: January 18, 2018
9.8K
Perioperative Desmopressin for Patients Undergoing Otolaryngologic Procedures: A Systematic Review
Gregory L Barinsky1, David Buziashvili1, Peter F Svider1
11 Department of Otolaryngology-Head and Neck Surgery, Rutgers New Jersey Medical School, Newark, New Jersey, USA.
Summary
Desmopressin (DDAVP) effectively manages bleeding in otolaryngology procedures, acting as both a prophylactic and symptomatic treatment. While generally safe, potential adverse effects like hyponatremia require monitoring.
Area of Science:
- Otolaryngology
- Pharmacology
- Surgical Hemostasis
Background:
- Limited data exists on Desmopressin (DDAVP) use in otolaryngology.
- DDAVP is a hemostatic agent for bleeding disorders.
Purpose of the Study:
- Systematically review DDAVP's use, efficacy, and safety in otolaryngology surgery.
- Provide evidence-based guidance for DDAVP application in this surgical field.
Main Methods:
- Systematic review of PubMed, MEDLINE, and EmBase.
- Assessed study quality using Methodological Index for Non-Randomized Studies and Cochrane bias tool.
- Collected data on patient demographics, DDAVP dosing, and outcomes.
Main Results:
- Nineteen studies (440 patients) analyzed; 16 for prophylaxis, 3 for postoperative use.
- DDAVP demonstrated effectiveness in preventing bleeding and ensuring a dry surgical field.
- 100% success rate for symptomatic use; adverse events included hyponatremia (12.3%), nausea (2.0%), emesis (0.9%), and seizure (0.2%).
Conclusions:
- Current evidence supports DDAVP for perioperative prophylaxis and postoperative bleeding management in otolaryngology.
- DDAVP is effective with minimal adverse events in this setting.
- Further randomized trials are needed to establish definitive guidelines.
Related Concept Videos
01:10Review 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
01:13Review and Preview
11.1K
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...
11.1K
01:20Random and Systematic Errors
14.8K
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...
14.8K
01:17Systematic Sampling Method
13.0K
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...
13.0K
01:10Propagation of Uncertainty from Systematic Error
1.4K
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
1.4K
01:15Systematic Error: Methodological and Sampling Errors
10.9K
In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
10.9K