Annals of medicine
-
The persistent spread of SARS-CoV-2 makes diagnosis challenging because COVID-19 symptoms are hard to differentiate from those of other respiratory illnesses. The reverse transcription-polymerase chain reaction test is the current golden standard for diagnosing various respiratory diseases, including COVID-19. However, this standard diagnostic method is prone to erroneous and false negative results (10% -15%). Therefore, finding an alternative technique to validate the RT-PCR test is paramount. Artificial intelligence (AI) and machine learning (ML) applications are extensively used in medical research. Hence, this study focused on developing a decision support system using AI to diagnose mild-moderate COVID-19 from other similar diseases using demographic and clinical markers. Severe COVID-19 cases were not considered in this study since fatality rates have dropped considerably after introducing COVID-19 vaccines. ⋯ The promising results suggest using this decision support system to diagnose COVID-19 from other similar respiratory illnesses.
-
Determining tumor necrosis factor-alpha inhibitors (anti-TNF-α) failure is still a challenge in the management of moderate-to-severe psoriasis. Thus, our comprehensive systematic literature review aimed to gather information on the criteria used to define anti-TNF-α failure. We also aimed to discover the main reasons for anti-TNF-α failure and define subsequently administered treatments. ⋯ Our findings suggest a need to standardize the management of anti-TNF-α failure and reflect the incorporation of new targets, such as IL-inhibitors, in the treatment sequence.KEY MESSAGESIn the treatment of psoriasis, the primary and secondary anti-TNF-α failure criteria differ widely in the scientific literature.The strictest efficacy criteria for defining anti-TNF-α failure, or those recommended by guidelines such as PASI75, were underused both in clinical trials and observational studies.Most studies failed to consider patient-reported outcomes in assessing psoriasis treatment efficacy, which contrasts with recent recommendations on the inclusion of patient-reported HRQoL as a supporting criterion when considering clinical outcomes.
-
Although medical literature has highlighted the importance of role modelling, hardly any reveals how humanistic qualities and role modelling should be taught. This study aimed to determine whether the use of Bandura's social cognitive learning for humanistic professional role modelling could elicit any positive effect on medical university students' awareness of humanistic professionalism, caring behaviours, and school-to-work transitional anxiety. ⋯ The findings suggest that using Bandura's social cognitive learning for humanistic professional role modelling can have a positive impact on awareness of humanistic professionalism, caring behaviour and school-to-work transitional anxiety. Hence, it can be an effective teaching tool for medical education.
-
Adjuvant durvalumab after chemoradiation has become the standard of care for patients with stage III NSCLC, according to the PACIFIC trial. Whether biomarkers before durvalumab for patients with stage III NSCLC showed predictive and prognostic effects remains unknown. ⋯ It seems that PNI could be used as a predictor for OS in patients with stage III NSCLC treated with durvalumab after chemoradiation.KEY MESSAGESInadequate immunocompetence and nutritional status after chemoradiation therapy may result in poor antitumor efficacy of ICIs.Pretreatment immune and nutritional assessment using PNI could be considered an independent predictor for the survival of stage III NSCLC patients treated with durvalumab after chemoradiation therapy.
-
With high recurrence and metastatic rates, triple-negative breast cancer (TNBC) has few therapy choices. The innate immune stimulator of interferon genes protein (STING) pathway has emerged as a critical foundation for improving anticancer immunotherapy. Although 2',3'-cGAMP has been shown to have therapeutic potential as a STING agonist in subcutaneous solid tumour treatments in mice, the effect of cGAMP in metastatic malignancies has received less attention. ⋯ The findings suggest that cGAMP could be useful in the immunotherapy of immune-insensitive metastatic breast cancer.