NCBI PubMed Central
open access
Beyond the numbers: hypotension, algorithms, and the elusive promise of renal protection.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Machine learning model for predicting hypotension following continuous renal replacement therapy initiation in end-stage kidney disease patients: a SHAP-interpretable approach.#242325
- Hemodialysis.-Induced Hypotension Therapy for End Stage Kidney Disease#1141029
- Effectiveness of a Structured Intervention to Reduce the Progression of Chronic Kidney (RENAP Study)#865391
- Transformative Research in Diabetic Nephropathy#910539
- Risk factors for post-induction hypotension in patients with end-stage renal disease undergoing general anesthesia.#244304
Record · ID 678361
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive