Darbepoetin decreased transfusions and fatigue, but increased adverse effects in patients with chronic kidney disease, diabetes, and anemia
Bibliographic record
Abstract
ACP Journal Club16 March 2010Darbepoetin decreased transfusions and fatigue, but increased adverse effects in patients with chronic kidney disease, diabetes, and anemiaTejas V. Patel, MD, MPH, FACP, FASNTejas V. Patel, MD, MPH, FACP, FASNBrigham and Women’s Hospital, Boston, Massachusetts, USA (T.V.P.)Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/0003-4819-152-6-201003160-02009 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail Source CitationPfeffer MA, Burdmann EA, Chen CY, et al. A trial of darbepoetin alfa in type 2 diabetes and chronic kidney disease. N Engl J Med. 2009;361:2019−32. https://pubmed.ncbi.nlm.nih.gov/19880844Clinical Impact RatingsEndocrinology: Hematology: Nephrology: References1 Canadian Erythropoietin Study Group. Association between recombinant human erythropoietin and quality of life and exercise capacity of patients receiving haemodialysis. BMJ. 1990;300:573-8. [PMID: 2108751] Google Scholar2 Besarab A, Bolton WK, Browne JK, et al. The effects of normal as compared with low hematocrit values in patients with cardiac disease who are receiving hemodialysis and epoetin. N Engl J Med. 1998;339:584-90. [PMID: 9718377] Google Scholar3 Singh AK, Szczech L, Tang KL, et al. Correction of anemia with epoetin alfa in chronic kidney disease. N Engl J Med. 2006;355:2085-98. [PMID: 17108343] Google Scholar4 Drüeke TB, Locatelli F, Clyne N, et al. Normalization of hemoglobin level in patients with chronic kidney disease and anemia. N Engl J Med. 2006;355:2071-84. [PMID: 17108342] Google Scholar Author, Article, and Disclosure InformationAffiliations: Brigham and Women’s Hospital, Boston, Massachusetts, USA (T.V.P.)This article was published at Annals.org on 2 March 2010. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetails Metrics 16 March 2010Volume 152, Issue 6Page: JC3-9KeywordsAnemiaChronic kidney diseaseFatigueHeart failureMedical dialysisMyocardial infarctionRenal failureStrokeType 2 diabetes ePublished: 16 March 2010 Issue Published: 16 March 2010 CopyrightCopyright © 2010 by American College of Physicians. All Rights Reserved.PDF DownloadLoading ...
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".