RT info:eu-repo/semantics/article
T1 Tool for filtering PubMed search results by sample size
A1 Baladrón García, Carlos
A1 Santos Lozano, Alejandro
A1 Aguiar Pérez, Javier Manuel
A1 Lucía, Alejandro
A1 Martín Hernández, Juan
K1 Text mining
K1 Clinical trial
K1 Knowledge discovery
K1 Sample size
K1 32 Ciencias Médicas
K1 33 Ciencias Tecnológicas
AB The most used search engine for scientific literature, PubMed, provides tools to filter results by several fields. When searching for reports on clinical trials, sample size can be among the most important factors to consider. However, PubMed does not currently provide any means of filtering search results by sample size. Such a filtering tool would be useful in a variety of situations, including meta-analyses or state-of-the-art analyses to support experimental therapies. In this work, a tool was developed to filter articles identified by PubMed based on their reported sample sizes. A search engine was designed to send queries to PubMed, retrieve results, and compute estimates of reported sample sizes using a combination of syntactical and machine learning methods. The sample size search tool is publicly available for download at http://ihealth.uemc.es. Its accuracy was assessed against a manually annotated database of 750 random clinical trials returned by PubMed. Results Validation tests show that the sample size search tool is able to accurately (1) estimate sample size for 70% of abstracts and (2) classify 85% of abstracts into sample size quartiles. The proposed tool was validated as useful for advanced PubMed searches of clinical trials when the user is interested in identifying trials of a given sample size.
PB Oxford University Press
SN 1067-5027
YR 2018
FD 2018
LK https://uvadoc.uva.es/handle/10324/65066
UL https://uvadoc.uva.es/handle/10324/65066
LA eng
NO Journal of the American Medical Informatics Association, Febrero 2018, vol. 25, n. 7. p. 774-779.
NO Producción Científica
DS UVaDOC
RD 23-nov-2024