Related Experiment Video
Updated: Feb 3, 2026

08:15
Minimally Invasive Establishment of Murine Orthotopic Bladder Xenografts
Published on: February 11, 2014
16.5K
Estimating Minimally Important Differences for the Bladder Cancer Index Using Distribution and Anchor Based
Charles C Peyton1, Carl Henriksen2, Richard R Reich1
1H. Lee Moffitt Cancer Center , Tampa , FL.
The Journal of Urology
|October 21, 2018
Summary
This study establishes minimally important difference thresholds for the Bladder Cancer Index (BCI) to interpret patient-reported outcomes in urinary, bowel, and sexual function after surgery.
Area of Science:
- Urology
- Patient-Reported Outcomes
- Health Outcomes Research
Background:
- The Bladder Cancer Index (BCI) is a validated tool for assessing function and quality of life in bladder cancer patients.
- Interpreting changes in BCI scores requires established thresholds for clinical significance.
Purpose of the Study:
- To establish minimally important difference (MID) score thresholds for the BCI.
- To define clinically meaningful changes in urinary, bowel, and sexual function for bladder cancer survivors.
Main Methods:
- A prospective cohort of 138 patients undergoing radical cystectomy was followed for 1 year.
- Minimally important differences were estimated using distribution-based (1/3 and 1/2 SD) and anchor-based methods, referencing the SF-36.
- BCI and SF-36 questionnaires were administered pre- and post-operatively at 3, 6, and 12 months.
Main Results:
- Distribution-based MIDs for urinary, bowel, and sexual domains ranged from 5.3–10.9, 4.6–8.4, and 6.0–13.5 points, respectively.
- Anchor-based MIDs were estimated at 6.2, 7.3, and 6.8 points for the respective domains.
- Aggregated MIDs across both methods ranged from 5–9 (urinary), 5–8 (bowel), and 7–11 (sexual) points.
Conclusions:
- This study provides the first minimally important difference estimates for the Bladder Cancer Index (BCI).
- These established thresholds are crucial for interpreting patient-reported outcome changes in clinical practice and research for bladder cancer patients.
Related Concept Videos
The Anchoring-and-Adjustment Heuristic
7.8K
In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the...
7.8K
Distributions to Estimate Population Parameter
5.1K
The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
5.1K
Anchoring Junctions
5.0K
Anchoring junctions are multiprotein complexes that help cells connect to other cells and the extracellular matrix. Anchoring junctions are present on the lateral and basal surfaces of cells, providing strong and flexible connections. Focal adhesions are often formed due to cell interactions with the ECM substrata, which initiate signal transduction via kinase cascades and other mechanisms. Together, they provide stability and tissue integrity. There are three types of anchoring junctions:...
5.0K
Lipids as Anchors
7.3K
In the plasma membrane, the lipids forming the bilayer can also act as an anchor to tether proteins to the membrane. The three main types of lipid anchors found in eukaryotes are – prenyl groups, fatty acyl groups, and glycosylphosphatidylinositol or GPI groups. Prenyl and fatty acyl groups act as anchors on the cytosolic surface of the membrane, whereas GPI anchors proteins on the extracellular side.
The carboxy-terminal of most of the prenylated proteins, such as Ras proteins, contains...
The carboxy-terminal of most of the prenylated proteins, such as Ras proteins, contains...
7.3K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
249
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
249
What are Estimates?
8.8K
It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates.
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such...
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such...
8.8K

