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Patient Questions

Real questions from health communities, answered with cited research from PubMed and Vellito's article corpus. Plain language, no medical advice. How this works.

Cardiology

Are SGLT2 inhibitors effective for treating heart failure with mildly reduced ejection fraction?

Yes, SGLT2 inhibitors are effective for treating heart failure with mildly reduced ejection fraction, reducing heart failure hospitalizations and improving outcomes.

Pediatrics

Does trofinetide treatment show symptom improvement for children with Rett syndrome?

Trofinetide shows symptom improvement in Rett syndrome, with real-world studies showing about 76% of patients experiencing benefits in communication and motor skills.

Cardiology

Does finerenone help patients with heart failure with mildly reduced ejection fraction?

Yes, finerenone reduces cardiovascular death and worsening heart failure events in patients with heart failure with mildly reduced ejection fraction, based on a network…

Oncology

Do activity pacing interventions show a significant effect on cancer-related fatigue?

Activity pacing interventions show a small but not statistically significant effect on cancer-related fatigue overall, but may significantly help patients undergoing chemotherapy.

Can structured exercise training improve my heart function in HFmrEF after a stent?

Yes, a 52-week structured exercise program significantly improves LVEF (by about 5%) and reduces LDL cholesterol in HFmrEF patients after PCI, beyond standard medications alone.

How do traditional Chinese medicine external therapies compare to usual care for cancer-related fatigue?

Traditional Chinese medicine (TCM) external therapies like warming needles and acupressure reduce cancer-related fatigue better than usual care, with warming needles showing the…

Can activity pacing help improve cancer-related fatigue during chemotherapy?

Yes, activity pacing can help improve cancer-related fatigue during chemotherapy, especially when combined with cognitive behavioral therapy, based on moderate evidence.

What is the best exercise dose for cancer-related fatigue in breast cancer survivors?

The best exercise dose for cancer-related fatigue in breast cancer survivors is around 730 METs-min/week, with an inverted U-shaped response; effects diminish above 1,100…

Oncology

Does acupuncture significantly improve cancer-related fatigue levels for patients?

Yes, acupuncture appears to significantly improve cancer-related fatigue, with recent meta-analyses showing moderate benefit, though study quality is limited.

Infectious Disease

How have cystic fibrosis patient outcomes changed in adults from 2011 to 2022?

From 2011 to 2022, adults with cystic fibrosis saw major improvements in lung function, BMI, and fewer exacerbations, largely due to CFTR modulator therapies like…

How do bispecific antibodies and CAR T-cell therapy work for advanced non–small cell lung cancer?

Bispecific antibodies and CAR T-cell therapy are two immunotherapies being tested for advanced NSCLC; bispecific antibodies show more clinical progress, while CAR T faces…

Does a phase III trial show sublobar resection is better than lobectomy for small peripheral non–small cell lung cancer?

Yes, a phase III trial (CALGB 140503) found sublobar resection noninferior to lobectomy for disease-free survival in small peripheral NSCLC ≤2 cm.

Oncology

Are PROTACs currently available as a treatment for my oncology condition?

PROTACs are not yet available as approved treatments for most oncology conditions, though one specific drug, vepdegestrant, is in clinical trials for advanced breast cancer.

Ophthalmology

Did baricitinib work well for juvenile idiopathic arthritis eye inflammation?

Baricitinib showed limited effectiveness for treating eye inflammation in children with juvenile idiopathic arthritis who did not respond to other standard treatments.

Neurology

Are extracellular vesicles useful biomarkers for neurological disorders and heart disease?

Extracellular vesicles (EVs) are promising biomarkers for neurological disorders and heart disease because they carry molecular signals from the brain and heart into the blood…

Psychiatry

Did the phase 2 ketamine trial find main results for tinnitus?

The phase 2 ketamine trial for tinnitus was completed but has not yet reported its main results.

Rheumatology

Can Hadlima be used to treat juvenile idiopathic arthritis?

Yes, Hadlima (adalimumab) is FDA-approved to treat moderately to severely active polyarticular juvenile idiopathic arthritis in patients aged 2 years and older.

Can machine learning predict when juvenile idiopathic arthritis will go inactive?

Yes, machine learning models using registry data can predict inactive disease in juvenile idiopathic arthritis with about 70-76% accuracy, but they are not yet ready for routine…

Neurology

Can extracellular vesicles help diagnose neurological disorders like cancer?

Extracellular vesicles (EVs) act as promising biomarkers for neurological disorders like Alzheimer's and Parkinson's, offering a less invasive way to detect disease signals in…

Neurology

Do people with iRBD biomarkers have more cognitive symptoms than healthy controls?

People with iRBD biomarkers show worse cognitive performance than healthy controls, with higher rates of mild cognitive impairment and neuropsychiatric symptoms.

Infectious Disease

Can pucotenlimab cause severe adverse reactions in patients?

Yes, pucotenlimab has caused severe adverse reactions, including a fatal case of neuromyelitis optica spectrum disorder (NMOSD) in a patient with cancer.

Neurology

What animal models help researchers understand NMOSD pathogenesis?

Animal models for NMOSD include AQP4-peptide immunized mice, passive transfer models, and T-cell-based models, each capturing different aspects of pathogenesis.

Neurology

Can DATSCAN imaging help diagnose dementia with Lewy bodies?

Yes, DATSCAN imaging helps diagnose dementia with Lewy bodies by showing reduced dopamine transport in the brain, which supports the diagnosis when other symptoms are unclear.

Can machine learning with cfDNA help detect liver cancer at different stages?

Yes, machine learning with cfDNA can detect liver cancer at various stages, with sensitivities ranging from 44% for stage I to 99% for stage III and high specificity.

How this works

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.