Publications by authors named "Manuel Marques-Cruz"

Background: Intranasal antihistamines (INAH), corticosteroids (INCS), and their fixed combinations (INAH+INCS) are one of the cornerstones of the treatment of allergic rhinitis (AR). We performed a systematic review and network-meta-analysis comparing the efficacy and safety of INAH, INCS, and INAH+INCS in patients with AR.

Methods: We searched four electronic bibliographic databases and three clinical trial databases for randomised controlled trials assessing the use of INAH, INCS, and INAH+INCS in adults with seasonal or perennial AR.

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Article Synopsis
  • Researchers explored how large language models (LLMs) can aid in generating guideline questions for allergic rhinitis by using online search data and direct LLM interactions.
  • They identified 3975 unique search queries, distilling them to 37 relevant questions, with 6 new questions prioritized for the 2024 ARIA guidelines that were not initially considered by the expert panel.
  • The study suggests that LLMs can complement traditional methods in developing clinical guideline questions, although the findings are limited to a single case study.
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Background: Adenoma detection rate (ADR) is a quality indicator set at a minimum of 25% in unselected populations by the European Society of Gastrointestinal Endoscopy (ESGE). Nevertheless, a lack of pooled observational data resembling real-world practice limits support for this threshold. We aimed to perform a systematic review with meta-analysis to evaluate the pooled rates for conventional adenoma detection, polyp detection (PDR), cecal intubation, bowel preparation, and complications in population-based studies.

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Background: The literature is consensual regarding the academic community exhibiting higher levels of mental disorder prevalence than the general population. The potential of digital mental health apps for improving access to resources to cope with these issues is ample. However, studies have yet to be performed in Portugal on individuals' attitudes and perceptions toward digital mental health applications or their preferences and decision drivers on obtaining mental health care, self-assessment, or treatment.

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Background: Analysis of X (formerly Twitter) posts can inform on the interest/perceptions that social media users have on health subjects. In this study, we aimed to analyse tweets on allergic conditions, comparing them with surveillance data.

Methods: We retrieved tweets from England on "allergy," "asthma," and "allergic rhinitis," published between 2016 and 2021.

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Background: Asthma presents a significant health challenge, imposing a considerable burden on healthcare services. Discrepancies in asthma-related hospitalisations may reflect underlying health disparities. We aimed to analyse inequities in asthma hospital admissions in mainland Portugal and Spain, from a regional perspective and considering sex and age.

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Background: Contact tracing is a fundamental intervention in public health. When systematically applied, it enables the breaking of chains of transmission, which is important for controlling COVID-19 transmission. In theoretically perfect contact tracing, all new cases should occur among quarantined individuals, and an epidemic should vanish.

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