The transition of medication overuse status by acute medication categories in episodic or chronic migraine patients to non-overuse status after receiving anti-CGRP monoclonal antibodies: a systematic review and meta-analysis of phase 3 randomized control trial.

OBJECTIVE: The objective of this systematic review and meta-analysis was to determine whether patients with episodic (EM) or chronic migraine (CM), who were treated with anti-CGRP antibodies, showed a reversal from medication overuse (MO) or medication overuse headache (MOH) status at their baseline to non-overuse status. Furthermore, this study aimed to establish which acute headache medication (AHM) categories responded more effectively to anti-CGRP antibodies. METHODS: A systematic search was conducted in the PubMed database for relevant studies from January 2013 to September 2023. We included phase three randomized controlled trials to examine the role of anti-CGRP antibodies in patients with EM or CM and their MO status. A meta-analysis was conducted to find the association between anti-CGRP antibodies and the number of EM and CM patients with MO or MOH at baseline that reverted to non-MO status or below the MOH threshold. RESULTS: The initial search yielded a total of 345 studies. After removing duplicates and screening with inclusion criteria, 5 studies fulfilled our conditions. Each study reviewed the response to changes in the MO status of patients after receiving anti-CGRP antibodies, including eptinezumab, fremanezumab, galcanezumab, and erenumab, compared to placebo. Our study analyzed three AHM categories: triptans, simple analgesics, and multiple drugs. The overall relative risk (RR) was 1.44 (95% CI, 1.31 to 1.59; p < 0.001). The RRs for triptans, simple analgesics, and multi-drug groups were 1.71 (95% CI, 1.53 to 1.91; p < 0.001), 1.10 (95% CI, 0.83 to 1.47; p = 0.5), and 1.29 (95%CI 1.14 to 1.46; p < 0.001) respectively. CONCLUSION: The meta-analysis has shown that anti-CGRP antibodies were statistically significant in transitioning from MO or MOH status to non-MO status or below the MOH threshold (RR = 1.44) for all included studies and all AHM categories except for simple analgesics. Patients from the triptan group had the highest RR of 1.71 with a p-value < 0.001, while the simple analgesics group had an RR of 1.10, however, with a p-value > 0.05. Interestingly, this analysis can be interpreted as that anti-CGRP antibodies might not be effective in reducing simple analgesics use in EM or CM patients. Further studies are needed to investigate these matters.

The current state of artificial intelligence-augmented digitized neurocognitive screening test.

The cognitive screening test is a brief cognitive examination that could be easily performed in a clinical setting. However, one of the main drawbacks of this test was that only a paper-based version was available, which restricts the test to be manually administered and graded by medical personnel at the health centers. The main solution to these problems was to develop a potential remote assessment for screening individuals with cognitive impairment. Currently, multiple studies have been adopting artificial intelligence (AI) technology into these tests, evolving the conventional paper-based neurocognitive test into a digitized AI-assisted neurocognitive test. These studies provided credible evidence of the potential of AI-augmented cognitive screening tests to be better and provided the framework for future studies to further improve the implementation of AI technology in the cognitive screening test. The objective of this review article is to discuss different types of AI used in digitized cognitive screening tests and their advantages and disadvantages.