Real questions from health communities, answered with cited research from PubMed and Vellito's article corpus. Plain language, no medical advice. How this works.
Yes, plasma proteins like NT-proBNP, GDF-15, FGF-23, ADM, and NCAM1 are linked to dilated cardiomyopathy severity in certain gene carriers, particularly those with TTN or MYBPC3…
Predictive models for dysphagia risk in older adults show variable accuracy, with AUCs ranging from 0.682 to 0.926 and a pooled AUC of 0.82, but most models have high bias risk…
Genetic variants in TTN and TNNT2, plus CMR traits like ventricular dilation and impaired strain, are potential treatment targets for DCM.
Mainstreaming cardiac genetic testing for dilated cardiomyopathy increases testing uptake and reduces wait times, but lowers informed decision-making compared to traditional…
A combined radiomics model shows good accuracy (AP 0.85-0.91) for distinguishing tuberculosis from other lung lesions on CT, though performance drops in temporal validation (AP…
Yes, the Recombinant Zoster Vaccine (RZV) is recommended for immunocompromised adults aged 19 and older by the ACIP, with high efficacy and acceptable safety.
NTM lung disease is more likely in older patients with bronchiectasis, COPD, or diabetes, and often shows thin-walled cavities on CT; TB-IGRA is usually negative in NTM.
Yes, diabetes is linked to more severe herpes zoster, including higher rates of disseminated disease and complications like postherpetic neuralgia.
People with rheumatoid arthritis have a significantly higher risk of getting shingles compared to the general population, with studies showing an increased risk of about 30% to…
A new index called the FEES Dysphagia Index (FDI) can predict swallowing problems and pneumonia risk in hospitalized patients better than older methods.
Data from Hunan Province shows the rate of confirmed pulmonary tuberculosis cases dropped by an average of 2.2% annually between 2009 and 2023, though the decline slowed after…
Yes, aging increases herpes zoster risk. Genomic studies show age-related decline in VZV-specific immunity and shared genetic signals linking aging, autoimmunity, and viral…
The meta-analysis found that the largest category of recurrent pregnancy loss is unexplained (37%), followed by acquired thrombophilia, uterine anomalies, endocrine disorders…
The Elgheriany Reproductive Immunology Framework explains recurrent pregnancy loss by focusing on specific immune failures rather than assuming all cases are immune-related…
Based on a meta-analysis of 17 studies, the average chance of delirium in advanced cancer is about 36% (roughly 1 in 3 patients).
Multi-omics profiling helps understand recurrent pregnancy loss by revealing molecular disruptions in immunity, metabolism, and cell communication that single tests miss.
Yes, telehealth visits can improve quality of life for advanced cancer patients, with studies showing significant benefits in symptom management and care access.
Yes, computer models can predict recovery after intracerebral hemorrhage, with some achieving over 90% accuracy, but they are not yet standard in clinical care.
Yes, a 2020 trial found that four daily mindful breathing sessions significantly reduced total ESAS symptom scores in advanced cancer patients compared to standard care alone.
Yes, lobar intracerebral hemorrhage is linked to higher 1-year readmission and dementia risk compared to deep ICH, based on a large Scottish cohort study.
Yes, chronic kidney disease (CKD) is linked to higher death risk after intracerebral hemorrhage, with studies showing increased mortality at 30 days, 90 days, and 1 year.
Yes, swelling (perihematomal edema) growth after intracerebral hemorrhage is linked to worse functional outcomes and higher death or dependence risk.
Yes, S-1 plus radiation improves survival over radiation alone for elderly patients with inoperable esophageal squamous cell carcinoma, based on a phase III trial.
Yes, layered data models that combine clinical, lab, medication, and social data can help doctors detect diabetic kidney disease risk earlier than traditional methods alone.
We pull real patient questions from public Reddit health communities (r/AskDocs, r/diabetes, r/menopause, etc.). Each question is rewritten into a generic medical question (no personal details), then answered by an AI using only cited sources from Vellito's article database and PubMed. A second AI independently scores each answer for accuracy and citation fidelity before publication. Answers below the safety threshold or touching emergency, dosing, or pediatric topics are queued for human review and never auto-published.
This is not medical advice. Always speak with your own doctor before making decisions about your health.