Prevalence of Words and Phrases Associated With Large Language Model-Generated Text in the Nursing Literature.

All disciplines, including nursing, may be experiencing significant changes with the advent of free, publicly available generative artificial intelligence tools. Recent research has shown the difficulty in distinguishing artificial intelligence-generated text from content that is written by humans, thereby increasing the probability for unverified information shared in scholarly works. The purpose of this study was to determine the extent of generative artificial intelligence usage in published nursing articles.

Research on Predatory Publishing in Health Care: A Scoping Review.

Background: Predatory publishers and their associated journals have been identified as a threat to the integrity of the scientific literature. Research on the phenomenon of predatory publishing in health care remains unquantified.

Purpose: To identify the characteristics of empirical studies on predatory publishing in the health care literature.

The effectiveness of the practice of correction and republication in the biomedical literature.

Objective: This research measures the effectiveness of the practice of correction and republication of invalidated articles in the biomedical literature by analyzing the rate of citation of the flawed and corrected versions of scholarly articles over time. If the practice of correction and republication is effective, then the incidence of citation of flawed versions should diminish over time and increased incidence of citation of the republication should be observed.

Methods: This is a bibliometric study using citation analysis and statistical analysis of pairs of flawed and corrected articles in MEDLINE and Web of Science.