Review: In adults, contrast-enhanced CT is not linked to acute kidney injury or mortality vs noncontrast CT
Bibliographic record
Abstract
ACP Journal Club16 January 2018Review: In adults, contrast-enhanced CT is not linked to acute kidney injury or mortality vs noncontrast CTTejas Patel, MD, FASN, Vihas Patel, MDTejas Patel, MD, FASNIcahn School of Medicine at Mount Sinai, New York City, New York, USA (T.P.)Search for more papers by this author, Vihas Patel, MDZucker School of Medicine at Hofstra/Northwell, New Hyde Park, New York, USA (V.P.)Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/ACPJC-2018-168-2-010 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail Source CitationAycock RD, Westafer LM, Boxen JL, et al. Acute kidney injury after computed tomography: a meta-analysis. Ann Emerg Med. 2017 Aug 12. [Epub ahead of print]. https://pubmed.ncbi.nlm.nih.gov/28811122Clinical Impact RatingsEmergency Med: Hospitalists: Nephrology: References1 McCullough PA, Choi JP, Feghali GA, et al. Contrast-induced acute kidney injury. J Am Coll Cardiol. 2016;68:1465-73. [PMID: 27659469] Google Scholar2 Canadian Association of Radiologists. Consensus guidelines for the prevention of contrast induced nephropathy. www.car.ca/uploads/standards%20guidelines/20110617_en_prevention_cin.pdf (accessed 7 Nov 2017). Google Scholar3 Mehran risk score calculator. www.zunis.org/Contrast-Induced%20Nephropathy%20Calculator.htm (accessed 7 Nov 2017). Google Scholar4 Kidney Disease: Improving Global Outcomes (KDIGO) Acute Kidney Injury Work Group. KDIGO clinical practice guideline for acute kidney injury. Kidney Int Suppl. 2012:2:1-138. Google Scholar Author, Article, and Disclosure InformationAffiliations: Icahn School of Medicine at Mount Sinai, New York City, New York, USA (T.P.)Zucker School of Medicine at Hofstra/Northwell, New Hyde Park, New York, USA (V.P.)This article was published at Annals.org on 2 January 2018. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetails Metrics 16 January 2018Volume 168, Issue 2Page: JC10KeywordsAcute kidney injuryAcute renal failureCervical intraepithelial neoplasiaComputed axial tomographyMortalityObservational studiesOdds ratioRandomized trialsRetrospective studiesStatins ePublished: 16 January 2018 Issue Published: 16 January 2018 Copyright & PermissionsCopyright © 2018 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 | 0.005 | 0.046 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.006 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 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".