In suspected PE, an age-adjusted <scp>D</scp>-dimer cutpoint improved ability to exclude PE
Bibliographic record
Abstract
ACP Journal Club15 July 2014In suspected PE, an age-adjusted D-dimer cutpoint improved ability to exclude PEEddy Lang, MDEddy Lang, MDUniversity of Calgary, Calgary, Alberta, Canada (E.L.)Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/0003-4819-161-2-201407150-02013 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail Source CitationRighini M, Van Es J, Den Exter PL, et al. Age-adjusted D-dimer cutoff levels to rule out pulmonary embolism: the ADJUST-PE study. JAMA. 2014;311:1117-24. https://pubmed.ncbi.nlm.nih.gov/24643601Clinical Impact RatingsEmergency Med: Hospitalists: Hematology: Critical Care: References1 Torres-Macho J, Mancebo-Plaza AB, Crespo-Giménez A, et al. Clinical features of patients inappropriately undiagnosed of pulmonary embolism. Am J Emerg Med. 2013;31:1646-50. [PMID: 24060320] Google Scholar2 Huckins DS, Price LL, Gilley K. Utilization and yield of chest computed tomographic angiography associated with low positive D-dimer levels. J Emerg Med. 2012;43:211-20. [PMID: 21764536] Google Scholar3 Pasha SM, Klok FA, Snoep JD, et al. Safety of excluding acute pulmonary embolism based on an unlikely clinical probability by the Wells rule and normal D-dimer concentration: a meta-analysis. Thromb Res. 2010;125:e123-7. [PMID: 19942258] Google Scholar4 Linkins LA, Bates SM, Lang E, et al. Selective D-dimer testing for diagnosis of a first suspected episode of deep venous thrombosis: a randomized trial. Ann Intern Med. 2013;158:93-100. [PMID: 23318311] Google Scholar5 Schouten HJ, Geersing GJ, Koek HL, et al. Diagnostic accuracy of conventional or age adjusted D-dimer cut-off values in older patients with suspected venous thromboembolism: systematic review and meta-analysis. BMJ. 2013;346:f2492. [PMID: 23645857] Google Scholar Author, Article, and Disclosure InformationAuthors: Eddy Lang, MDAffiliations: University of Calgary, Calgary, Alberta, Canada (E.L.)This article was published at Annals.org on 1 July 2014. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetails Metrics Cited byTromboembolismo pulmonar en pacientes con COVID-19: estudio de prevalencia en un hospital terciarioPulmonary embolisms in patients with COVID-19: A prevalence study in a tertiary hospital 15 July 2014Volume 161, Issue 2Page: JC13KeywordsD-dimerDeep vein thrombosisPatientsProspective studiesPulmonary embolismResearch fundingSpecificityThromboembolismThrombosisVenous thromboembolism ePublished: 15 July 2014 Issue Published: 15 July 2014 Copyright & PermissionsCopyright © 2014 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 | 0.004 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".