Related Experiment Video
Updated: Jun 8, 2026
07:50
Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
Published on: April 18, 2025
"Summary Page": a novel tool that reduces omitted data in research databases
Saveli I Goldberg1, Andrzej Niemierko, Maria Shubina
1Massachusetts General Hospital, Boston, MA, USA. sigoldberg@partners.org
BMC Medical Research Methodology
|October 12, 2010
Summary
A new "Summary Page" tool significantly improved the correction of omitted data errors in radiation oncology research databases. This simple tool increased the correction rate of missing relapse dates six-fold, aiding data accuracy.
Area of Science:
- Clinical research informatics
- Data management in oncology
Background:
- Data entry errors, particularly omitted data, are prevalent in clinical research.
- Omitted data can significantly impact research findings, yet affordable prevention strategies are scarce.
Purpose of the Study:
- To evaluate the effectiveness of a novel
- Summary Page
- tool in reducing omitted data errors in a radiation oncology database.
Main Methods:
- A prospective observational study was conducted between July 2008 and March 2009.
- The
- Summary Page
- tool, an integrated data screen, was implemented in the radiation oncology research database.
- Omitted data errors were assessed using the 'Date of Relapse' field.
Main Results:
- The
- Summary Page
- was accessed for 44% of updated and 69% of newly entered records.
- A six-fold increase in the correction frequency of omitted relapse dates was observed when the
- Summary Page
- was utilized (p = 0.0003).
Conclusions:
- The
- Summary Page
- tool demonstrated a strong association with improved correction of omitted data errors.
- Further controlled studies are recommended to validate these findings and explore the underlying mechanisms.
Related Concept Videos
02:07Improving Translational Accuracy
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
01:11Statistical Analysis: Overview
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
01:045-Number Summary
In a dataset, the 5-number summary includes the minimum data value, the data value of the first quartile, the median data value or data value of the second quartile, the data value of the third quartile, and the maximum data value. These 5 data values can be visualized as a box and whisker plot.
In a box plot, the minimum and maximum data values represent the lower and upper whiskers in the graph, and the median is designated as the center of the box in the chart. The first quartile and third...
In a box plot, the minimum and maximum data values represent the lower and upper whiskers in the graph, and the median is designated as the center of the box in the chart. The first quartile and third...
01:24Kaplan-Meier Approach
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
01:11Overview of Minitab
Minitab is a statistical software package designed for data analysis. With its origins in the 1970s and development at Pennsylvania State University, Minitab has grown significantly in its capabilities and applications. It plays a crucial role in quality management projects, especially in Six Sigma initiatives, by offering tools for process improvement and statistical analysis. Minitab's significance lies in its user-friendly interface, making complex statistical analysis accessible to users...
03:21Genome Size and the Evolution of New Genes
While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.