Tuberculosis Research and EpidemiologyHepatitis C virus researchMycobacterium research and diagnosisHepatitis B Virus StudiesAcute Ischemic Stroke Management
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What are the comparative efficacy and adherence rates of new short-course latent tuberculosis infection (LTBI) regimens versus traditional long-course therapies in high-burden, low-resource settings?
Why this gap exists: While a 2023 network meta-analysis [6] synthesizes general efficacy and adherence data for LTBI regimens, the retrieved evidence lacks direct comparative studies specifically focused on high-burden, low-resource settings, leaving the specific constraints of these environments unresolved.
How do specific maternal microbiota profiles (gut, oral, or vaginal) during gestation correlate with the development of gestational diabetes mellitus (GDM) and subsequent long-term metabolic health in offspring?
Why this gap exists: While recent reviews [8] confirm GDM alters maternal gut microbiota and neonatal health, and older studies [0] note dysbiosis across maternal sites, the retrieved evidence lacks direct, longitudinal studies correlating specific gestational maternal microbiota profiles with the *long-term* metabolic health of offspring, leaving the core question unresolved.
Microbes in the Moonlight: How the Gut Microbiota Influences Sleep — arXiv preprint, 2025
To what extent do changes in the maternal microbiota (gut, oral, or vaginal) during pregnancy mediate the relationship between maternal perinatal anxiety/depression and the neurodevelopmental outcomes of the offspring?
Why this gap exists: While recent studies confirm associations between maternal mental health and microbiota composition (Abstract 5, 8) and suggest the microbiome-gut-brain axis influences neurodevelopment (Abstract 0, 2), the retrieved evidence does not contain studies that directly test the mediating role of maternal microbiota changes between perinatal anxiety/depression and offspring neurodevelopmental outcomes.
What is the comparative efficacy and cost-effectiveness of the one-step 75g OGTT versus the two-step (50g GCT followed by 100g OGTT) diagnostic approach in preventing adverse maternal and neonatal outcomes?
Why this gap exists: While Abstract [7] compares diagnostic criteria and Abstract [4] compares 75g and 100g OGTTs, the retrieved evidence lacks direct, comparative studies on the cost-effectiveness and relative efficacy of the one-step versus two-step *approaches* in preventing adverse outcomes, leaving the specific question unresolved.
What is the comparative efficacy of digital or telehealth lactation support versus traditional face-to-face peer support on breastfeeding exclusivity rates during pandemic-related social restrictions?
Why this gap exists: While Abstract [3] confirms the general effectiveness of digital health interventions on breastfeeding practices and Abstract [0] notes the cancellation of face-to-face peer support during the pandemic, the retrieved evidence does not contain a direct comparative study between digital/telehealth lactation support and traditional face-to-face peer support specifically regarding exclusivity rates during social restrictions.
What is the comparative efficacy of digital versus in-person delivery of mental health interventions for mitigating the increased risk of perinatal depression and anxiety in low-income and middle-income countries during future pandemic-like disruptions?
Why this gap exists: While abstracts [6] and [8] compare digital and in-person delivery during the pandemic, they are set in high-income contexts (Spain, unspecified high-income), and abstract [7] focuses on LMICs but lacks a comparative digital vs. in-person design, leaving the specific question of comparative efficacy in LMICs unresolved.
Detecting anxiety and depression in dialogues: a multi-label and explainable approach — de Arriba-Pérez, F., García-Méndez, S. (2024). Detecting anxiety and depression in dialogues: a multi-label and explainable approach. In Proceedings of the 3rd AIxIA Workshop on Artificial Intelligence For Healthcare (pp. 257-271), 2024
Detecting anxiety and depression in dialogues: a multi-label and explainable approach — de Arriba-Pérez, F., García-Méndez, S. (2024). Detecting anxiety and depression in dialogues: a multi-label and explainable approach. In Proceedings of the 3rd AIxIA Workshop on Artificial Intelligence For Healthcare (pp. 257-271), 2024