ArticleCureus2023
Misinterpretations of Significance Testing Results Near the P-Value Threshold in the Urologic Literature.
Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Research methods in genetic counseling: Statistical approaches and resources.Journal of genetic counseling · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background The outcome of a statistical test is to accept or reject a null hypothesis. Reporting a metric as "trending toward significance" is a misinterpretation of the p-value. Studies highlighting the prevalence of statistical errors in the urologic literature remain scarce. We evaluated abstracts from 15 urology journals published within the years 2000-2021 and provided a quantitative measure of a common statistical mistake-misconstruing the function of null hypothesis testing by reporting "a trend toward significance." Materials and methods We performed an audit of 15 urology journals, looking at articles published from January 1, 2000, to January 1, 2022. A word recognition function in Microsoft Excel was utilized to identify the use of the word "trend" in the abstracts. Each use of the word "trend" was manually investigated by two authors to determine whether it was improperly used in describing non-statistically significant data as trending toward significance. Statistics and data analysis were performed using Python libraries: pandas, scipy.stats, and seaborn. Results This study included 101,134 abstracts from 15 urology journals. Within those abstracts, the word "trend" was used 2,509 times, 572 uses of which were describing non-statistically significant data as trending toward significance. There was a statistically significant difference in the rate of errors between the 15 journals (p < 0.01). The highest rate of improper use of the word "trend" was found in Bladder Cancer with a rate of 1.6% (p < 0.01) of articles. The lowest rate of improper use was found in European Urology, with a rate of 0.3% (p < 0.01). Our analysis found a moderate correlation between the number of articles published and the number of misuses of the word "trend" within each journal and across all journals every year (r = 0.61 and 0.70, respectively). Conclusion The overall rate of p-value misinterpretation never exceeded 2% of articles in each journal. There is significance in the difference in misinterpretation rates between the different journals. Authors' utilization of the word "trend" describing non-significant p-values as being near significant should be used with caution.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.