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Adding lisinopril to losartan increased hyperkalemia and acute kidney injury in type 2 diabetes and proteinuria

2014· letter· en· W2031402268 on OpenAlexaffabout
Catherine M. Clase, Johannes F.E. Mann

Bibliographic record

VenueAnnals of Internal Medicine · 2014
Typeletter
Languageen
FieldMedicine
TopicPotassium and Related Disorders
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineLisinoprilDiabetic nephropathyInternal medicineLosartanHyperkalemiaProteinuriaType 2 diabetesAliskirenKidney diseaseNephrologyDiabetes mellitusEndocrinologyUrologyGastroenterologyAngiotensin IIKidneyRenin–angiotensin systemBlood pressureAngiotensin-converting enzyme

Abstract

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ACP Journal Club18 March 2014Adding lisinopril to losartan increased hyperkalemia and acute kidney injury in type 2 diabetes and proteinuriaCatherine M. Clase, MB, BChir, Johannes F.E. Mann, MDCatherine M. Clase, MB, BChirMcMaster University, Hamilton, Ontario, Canada (C.M.C., J.F.M.)Search for more papers by this author, Johannes F.E. Mann, MDMcMaster University, Hamilton, Ontario, Canada (C.M.C., J.F.M.)Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/0003-4819-160-6-201403180-02003 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail Source CitationFried LF, Emanuele N, Zhang JH, et al; VA NEPHRON-D Investigators. Combined angiotensin inhibition for the treatment of diabetic nephropathy. N Engl J Med. 2013;369:1892-903. https://pubmed.ncbi.nlm.nih.gov/24206457Clinical Impact RatingsGIM/FP/GP: Endocrinology: Nephrology: References1 Lewis EJ, Hunsicker LG, Bain RP, Rohde RD. The effect of angiotensin-converting-enzyme inhibition on diabetic nephropathy. The Collaborative Study Group. N Engl J Med. 1993;329:1456-62. [PMID: 8413456] Google Scholar2 Kunz R, Friedrich C, Wolbers M, Mann JF. Meta-analysis: effect of monotherapy and combination therapy with inhibitors of the renin angiotensin system on proteinuria in renal disease. Ann Intern Med. 2008;148:30-48. [PMID: 17984482] Google Scholar3 Parving HH, Brenner BM, McMurray JJ, et al; ALTITUDE Investigators. Cardiorenal end points in a trial of aliskiren for type 2 diabetes. N Engl J Med. 2012;367:2204-13. [PMID: 23121378] Google Scholar4 Makani H, Bangalore S, Desouza KA, Shah A, Messerli FH. Efficacy and safety of dual blockade of the renin-angiotensin system: meta-analysis of randomised trials. BMJ. 2013;346:f360. [PMID: 23358488] Google Scholar5 Pergola PE, Raskin P, Toto RD, et al; BEAM Study Investigators. Bardoxolone methyl and kidney function in CKD with type 2 diabetes. N Engl J Med. 2011;365:327-36. [PMID: 21699484] Google Scholar Author, Article, and Disclosure InformationAffiliations: McMaster University, Hamilton, Ontario, Canada (C.M.C., J.F.M.)This article was published at Annals.org on 4 March 2014. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetails Metrics Cited byPotential Usefulness of Losartan as an Antifibrotic Agent and Adjunct to Platelet-Rich Plasma Therapy to Improve Muscle Healing and Cartilage Repair and Prevent Adhesion Formation 18 March 2014Volume 160, Issue 6Page: JC3KeywordsACE inhibitorsAcute renal failureCreatinineProteinuriaRenal failureRenal physiologySafetyType 2 diabetes ePublished: 18 March 2014 Issue Published: 18 March 2014 Copyright & PermissionsCopyright © 2014 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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.223
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.302
Teacher spread0.284 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations4
Published2014
Admission routes2
Has abstractyes

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