Reporting guidelines are tools that advise authors publishing a scientific article on particular study items to be disclosed to improve the research rigour, reproducibility, transparency, and scientific community acceptance of the study results and conclusions. Reporting guidelines usually outline the development process and give researchers a checklist of elements that should be reported based on the study design. The checklist is extremely valuable since it offers writers an easy-to-follow structure for planning the research endeavour, from study protocol preparation to study implementation, data analysis, and manuscript writing.

Endorsement— a journal's action to show that it supports using one or more reporting guideline(s) by authors submitting research reports for review; generally accomplished through a statement in its "Instructions to authors" section.

Adherence— Action did by an author to ensure that a manuscript complies with the items indicated by the appropriate/relevant reporting guideline (reports all specified items).

Implementation— Journals are taking steps to guarantee that authors follow approved reporting criteria and that published articles are fully documented.

Complete reporting— the status of a research report's reporting and whether it complies with any applicable reporting standard.


Researchers conducted a prospective cohort analysis of 101 patients admitted to the ICU at a university hospital in So Paulo, Brazil, and analysed mechanical ventilator waveforms to quantify the prevalence of patient-ventilator asynchrony. According to the researchers, a high majority of asynchrony was linked to more significant weaning failure, but not to death.


The use of reporting rules ensures that writers disclose all essential components of a research study, allowing the reader to comprehend all relevant parts of the investigation properly. This is critical because other researchers may duplicate methods. Results can be included inefficient reviews or utilised by clinicians to assist clinical decision making when a paper provides accurate and comprehensive study information. For example, when a paper publishes the results of an RCT but fails to mention how many prospective participants were removed from the study, the generalizability and internal validity of the findings may be compromised. Similarly, in our supposed situation, if the publication omitted to indicate how many participants were lost during follow-up, readers would be unable to assess the cohort study's risk of bias. As a result, the findings would be useless in clinical decision-making.

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