Cross-sectional interpretation of scientific articles: myths and errors in designing free from biased stereotypes

This study analyzed the process of drafting scientific articles, focusing on identifying and overcoming myths and errors that affect their design and writing. It started from the premise that scientific articles are sometimes influenced by limiting beliefs and stereotypes that compromise their objectivity and rigor. The main objective was to provide a cross-sectional interpretation of the scientific article to achieve an ideal design free from biased stereotypes. A qualitative approach was adopted, with a documentary-feasibility design and an explanatory scope. The techniques used included an exhaustive review of primary and secondary reliable sources, with an emphasis on critical and conceptual interpretation of the data. The results highlighted the importance of exhaustive research and careful selection of sources, emphasizing that the quality of an article does not depend on the number of references or the complexity of the writing but rather on the clarity, precision, and relevance of the content. Additionally, it was shown that unexpected or negative results have significant value for the scientific community, as they help avoid the duplication of studies and provide new perspectives. It is concluded that an ideal design of scientific articles requires a rigorous methodology, accompanied by constant reflection and external support to help the author overcome potential shortcomings and produce high-impact work aimed at contributing to the advancement of scientific knowledge