Bibliographic record
Abstract
The U.S. Food and Drug Administration (FDA) approved patiromer to treat hyperkalemia on October 21, 2015, making it the first agent approved for this condition in 50 years. Patiromer was developed by Relypsa, Inc. The active ingredient is patiromer sorbitex calcium which consists of the active moiety, patiromer, a nonabsorbed potassium-binding polymer, and a calcium-sorbitol counterion. In the colon, patiromer exchanges calcium for potassium thus causing a fall in serum potassium. Trials have shown that patiromer reduces serum potassium in patients with mild, moderate and moderate to severe hyperkalemia to the normal range. It has also been used successfully in patients with chronic kidney disease and/or heart failure. It has also allowed the use of the mineralocorticoid antagonist spironolactone in full dosage in patients with chronic kidney disease and/or heart failure who were already receiving a renin-angiotensin-aldosterone system inhibitor. Adverse effects have mostly been gastrointestinal in nature and have not caused patients to discontinue treatment in unacceptable numbers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".