DOI: 10.7910/dvn/kilhyf
title: Publication of works presented in the 2016 and 2018 editions of the National Student Scientific Event on Internal Medicine -MEDINTÁVILA
title: Publicación de los trabajos presentados en las ediciones 2016 y 2018 del Evento Científico Estudiantil Nacional de Medicina Interna - Medintávila

description: Analytical cross-sectional study. The research works presented in the 2nd and 3rd editions of Medintávila, held from November 16 to 19, 2016, and April 4 to 8, 2018, respectively, were analyzed. Of the 422 papers presented (255 in 2016 and 167 in 2018), 87 were excluded because they did not include all the variables to be evaluated, so the final sample was 335 papers.

Variables and search methods were defined as outlined in the study by Corrales-Reyes et al. The variable of interest studied was "publication," which was characterized as the publication in a scientific journal of the work presented at the event; the study was conducted two years after the latest edition of Medintávila (2018), a time lapse considered adequate for obtaining a speedy post-publication citation. A published work was defined in this context as one in which there was a correspondence between the work presented at the event and the article published in terms of topic, place of study, main results, and at least one author. The works contained in the abstract books of the Universidad Médica Pinareña student journal were not considered as publications because they only included title, authors, affiliations, abstract, and key words.

The research works presented at the event were made available in extenso by the GCE of the UCMCAV; they were reviewed between April 2019 and March 2020 to collect the information on the variables to be analyzed and enter it into a Microsoft Excel database. The study variables were: title; university where the authors studied; thematic areas (predetermined by the organizers of the event in each call); language of presentation (Spanish and English); edition of the event (2016 or 2018); type; number of authors; academic year and degree of the first author (medicine, oral medicine, nursing, and health technology degrees); participation of tutors/advisors (yes or no); awards (no award, relevant award, outstanding award, and mention award); number of references, and obsolescence (Price index).

Each work was classified into one of the following thematic areas: primary health care; chronic diseases; infectious diseases; herbal and traditional medicine; children and women; elderly; medical education; emergencies; and interdisciplinarity. Furthermore, according to their type, works were classified into free topics, finished research works, literature reviews, and case reports. The Price index was computed by dividing the number of references ≤5 years old (relative to the date of the event) by the total number of references cited in each paper.

The works classified as free topics and finished research works (both with a structure including Introduction, Materials and Methods, Results, and Discussion, or their equivalents) (n=208) were also grouped according to their methodological characteristics into: a) design: case series/report, cross-sectional, cases and controls, cohorts, experimental, and others; b) intervention: observational, experimental, or quasi-experimental; c) objective according to data analysis: descriptive or analytical; d) temporality (defined by the time data was collected): retrospective, prospective, or ambispective; e) patient follow-up: cross-sectional or longitudinal study; and e) multicenter study (defined as one that was carried out under the same methodology using data from at least two research centers or care units): yes or no.

To determine whether the papers were published in scientific journals, a search strategy was developed, in Spanish and English, consisting of a combination of terms that included the subject and place, as well as the name of the first, second and last authors of the study, as shown below: («Tema de estudio» AND «lugar de estudio») AND (autor: primero OR autor: segundo OR autor: último) and («Study topic» AND «study place») AND (author: first OR author: second OR author: last). The search, which was developed in April 2020, was performed in Google Scholar since this search engine has the capacity to locate articles and citations in journals indexed in the most important databases and, because of its low power of exclusion, it accepts most publications, even those that do not appear in the most widely used databases.

Articles classified as published were evaluated for the following characteristics: (A) title (to determine if there were changes); (b) journals with their corresponding country of publication and indexing (SciELO, Web of Science, PubMed/MEDLINE, and Scopus); (c) year of publication; d) number of citations according to Google Scholar (search performed on September 8, 2020); e) authors (to determine if there were changes: addition, exclusion, order, and mixed); and f) language of publication.

Data analysis was performed using descriptive statistics: absolute and relative frequencies were used for categorical variables, while means and standard or median deviations and interquartile ranges were calculated for numerical variables, according to the assumptions of normality determined through the Shapiro-Wilk test. Bivariate analyzes were performed to determine whether there were characteristics of the papers associated with their publication in scientific journals, calculating crude prevalence ratios (cPR), adjusted prevalence ratios (aPR), and their corresponding 95% confidence intervals (95%CI); p -values were also calculated using generalized linear models (Poisson regression, log link function) in which each university presenting the research was used as a cluster. Statistical analysis was carried out using the Stata v.11.1 software and a significance level of p&lt;0.05 was considered.

The study followed the recommendations for conducting research with secondary data and preserved the confidentiality of the information obtained. As this is a research done using publicly available data, no approval by an ethics committee was required.
description: Microsoft Excel, null