Renal impairment increased mortality and cardiovascular complications after myocardial infarction
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
EtiologyMarch 1, 2005Renal impairment increased mortality and cardiovascular complications after myocardial infarctionAmit X. Garg, MD, MA, FRCPCAmit X. Garg, MD, MA, FRCPCLondon Health Sciences Centre, London, Ontario, Canada (A.X.G.)Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/ACPJC-2005-142-2-051 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack Citations ShareFacebookTwitterLinkedInRedditEmail Source CitationAnavekar NS, McMurray JJ, Velazquez EJ, et al. Relation between renal dysfunction and cardiovascular outcomes after myocardial infarction. N Engl J Med. 2004;351:1285-95. https://pubmed.ncbi.nlm.nih.gov/15385655Clinical Impact RatingsGIM/FP/GP: Cardiology: Nephrology: References1 Tonelli M, Isles C, Curhan GC, et al. Effect of pravastatin on cardiovascular events in people with chronic kidney disease. Circulation. 2004;110:1557-63. [PMID: 15364796] Google Scholar2 Mann JF, Gerstein HC, Pogue J, Bosch J, Yusuf S. Renal insufficiency as a predictor of cardiovascular outcomes and the impact of ramipril: the HOPE randomized trial. Ann Intern Med. 2001;134:629-36. [PMID: 11304102] Google Scholar3 Nissenson AR, Collins AJ, Hurley J, et al. Opportunities for improving the care of patients with chronic renal insufficiency: current practice patterns. J Am Soc Nephrol. 2001;12:1713-20. [PMID: 11461944] Google Scholar4 Wanner C, Krane V, Marz W, et al. Randomized controlled trial on the efficacy and safety of atorvastatin in patients with type 2 diabetes on hemodialysis (4D study): demographic and baseline characteristics. Kidney Blood Press Res. 2004;27:259-66. Epub 2004 Aug 16. [PMID: 15316128] Google Scholar Author, Article, and Disclosure InformationAffiliations: London Health Sciences Centre, London, Ontario, Canada (A.X.G.) PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetailsSee AlsoReduced glomerular filtration rate was associated with increased death, cardiovascular events, and hospitalization Amit X. Garg March 1, 2005Volume 142, Issue 2Page: 51KeywordsCardiovascular disease riskClinical trialsCreatinineDeath ratesDietEnzyme inhibitorsForecastingGlomerular filtration rateHeartHeart failureHospitalizationsMedical risk factorsMorbidityMyocardial infarctionNephrologyPrevention, policy, and public healthRenal diseasesResuscitationStatinsStroke ePublished: 9 March 2020 Issue Published: March 1, 2005 Copyright & PermissionsCopyright © 2005 by American College of Physicians. All Rights Reserved.PDF downloadLoading ...
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it