Corticosteroid Therapy for Patients Hospitalized With Community-Acquired Pneumonia
Bibliographic record
Abstract
Letters3 May 2016Corticosteroid Therapy for Patients Hospitalized With Community-Acquired PneumoniaReed A.C. Siemieniuk, MD, Pablo Alonso-Coello, MD, PhD, and Gordon H. Guyatt, MD, MScReed A.C. Siemieniuk, MDFrom McMaster University, Hamilton, Ontario, Canada, and Instituto de Investigación Biomédica (Sant Pau)–CIBER de Epidemiología y Salud Pública, Barcelona, Spain.Search for more papers by this author, Pablo Alonso-Coello, MD, PhDFrom McMaster University, Hamilton, Ontario, Canada, and Instituto de Investigación Biomédica (Sant Pau)–CIBER de Epidemiología y Salud Pública, Barcelona, Spain.Search for more papers by this author, and Gordon H. Guyatt, MD, MScFrom McMaster University, Hamilton, Ontario, Canada, and Instituto de Investigación Biomédica (Sant Pau)–CIBER de Epidemiología y Salud Pública, Barcelona, Spain.Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/L15-0583 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail IN RESPONSE:The widely used DL method for summarizing random effects (1) has been criticized for sometimes having inappropriately narrow CIs and high type I error rates (2, 3). The HKSJ method, which is based on a t-distribution, is a popular alternative because it is straightforward and does not require familiarity with advanced statistical programs (3).We agree with Drs. Singh and Jaiswal that the HKSJ 95% CIs are implausibly narrow in the mechanical ventilation subgroup analysis, especially in the subgroup of studies enrolling patients with more severe pneumonia. This led to a statistically significant interaction between pneumonia severity and ...References1. DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials. 1986;7:177-88. [PMID: 3802833] CrossrefMedlineGoogle Scholar2. Cornell JE, Mulrow CD, Localio R, Stack CB, Meibohm AR, Guallar E, et al. Random-effects meta-analysis of inconsistent effects: a time for change. Ann Intern Med. 2014;160:267-70. [PMID: 24727843] LinkGoogle Scholar3. IntHout J, Ioannidis JP, Borm GF. The Hartung-Knapp-Sidik-Jonkman method for random effects meta-analysis is straightforward and considerably outperforms the standard DerSimonian-Laird method. BMC Med Res Methodol. 2014;14:25. [PMID: 24548571] doi:10.1186/1471-2288-14-25 CrossrefMedlineGoogle Scholar4. Röver C, Knapp G, Friede T. Hartung-Knapp-Sidik-Jonkman approach and its modification for random-effects meta-analysis with few studies. BMC Med Res Methodol. 2015;15:99. [PMID: 26573817] doi:10.1186/s12874-015-0091-1 CrossrefMedlineGoogle Scholar Author, Article, and Disclosure InformationAffiliations: From McMaster University, Hamilton, Ontario, Canada, and Instituto de Investigación Biomédica (Sant Pau)–CIBER de Epidemiología y Salud Pública, Barcelona, Spain.Disclosures: Authors have disclosed no conflicts of interest. Forms can be viewed at www.acponline.org/authors/icmje/ConflictOfInterest Forms.do?msNum=M15-0715. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetailsSee AlsoCorticosteroid Therapy for Patients Hospitalized With Community-Acquired Pneumonia Reed A.C. Siemieniuk , Maureen O. Meade , Pablo Alonso-Coello , Matthias Briel , Nathan Evaniew , Manya Prasad , Paul E. Alexander , Yutong Fei , Per O. Vandvik , Mark Loeb , and Gordon H. Guyatt Corticosteroid Therapy for Patients Hospitalized With Community-Acquired Pneumonia Meenu Singh and Nishant Jaiswal Metrics Cited byCosyntropin testing does not predict response to glucocorticoids in community‐acquired pneumonia in a randomized controlled trialGuidelines for the Evaluation and Treatment of Pneumonia 3 May 2016Volume 164, Issue 9Page: 636-637KeywordsConflicts of interestCorticosteroid therapyDisclosureGrading of Recommendations Assessment Development and EvaluationPneumoniaVentilators ePublished: 3 May 2016 Issue Published: 3 May 2016 Copyright & PermissionsCopyright © 2016 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 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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 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".