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Update in Pulmonary Disease

2001· letter· en· W2069057424 on OpenAlexaboutno aff
Catherine C. Peng, Sherrie L. Aspinall, Chester B. Good

Bibliographic record

VenueAnnals of Internal Medicine · 2001
Typeletter
Languageen
FieldMedicine
TopicPneumonia and Respiratory Infections
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineChronic bronchitisVeterans AffairsBronchitisAzithromycinInternal medicineAntibioticsMicrobiology

Abstract

fetched live from OpenAlex

Letters21 August 2001Update in Pulmonary DiseaseCatherine C. Peng, PharmD, Sherrie L. Aspinall, PharmD, BCPS, and Chester B. Good, MD, MPHCatherine C. Peng, PharmDVeterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA 15240 (Peng, Aspinall, Good)Search for more papers by this author, Sherrie L. Aspinall, PharmD, BCPSVeterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA 15240 (Peng, Aspinall, Good)Search for more papers by this author, and Chester B. Good, MD, MPHVeterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA 15240 (Peng, Aspinall, Good)Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/0003-4819-135-4-200108210-00020 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail TO THE EDITOR:On the basis of an article by Destache and colleagues (1), Anzueto and Angel (2) report that third-line antibiotics may be more cost-effective for the management of acute exacerbations of chronic bronchitis. After reviewing the referenced article, we are disappointed that Anzueto and Angel make this statement, given its substantial clinical and cost implications. Destache and colleagues' article, an unblinded, retrospective study published as a supplement funded by Bayer (makers of ciprofloxacin), has several flaws that render it questionable.Destache and colleagues reported that third-line antibiotics (amoxicillin-clavulanate, azithromycin, and ciprofloxacin) improved clinical outcomes of acute exacerbations of ...References1. Destache CJ, Dewan N, O'Donohue WJ, Campbell JC, Angelillo VA. Clinical and economic considerations in the treatment of acute exacerbations of chronic bronchitis. J Antimicrob Chemother. 1999;43(Suppl A):107-13. [PMID: 10225580] CrossrefMedlineGoogle Scholar2. Anzueto A, Angel L. Update in pulmonary disease. Ann Intern Med. 2000;133:360-6. [PMID: 10979881] LinkGoogle Scholar3. Adams SG, Melo J, Luther M, Anzueto A. Antibiotics are associated with lower relapse rates in outpatients with acute exacerbations of COPD. Chest. 2000;117:1345-52. [PMID: 10807821] CrossrefMedlineGoogle Scholar4. Chen DK, McGeer A, de Azavedo JC, Low DE. Decreased susceptibility of Streptococcus pneumoniae to fluoroquinolones in Canada. Canadian Bacterial Surveillance Network. N Engl J Med. 1999;341:233-9. [PMID: 10413735] CrossrefMedlineGoogle Scholar Author, Article, and Disclosure InformationAuthors: Catherine C. Peng, PharmD; Sherrie L. Aspinall, PharmD, BCPS; Chester B. Good, MD, MPHAffiliations: Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA 15240 (Peng, Aspinall, Good) PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetailsSee AlsoThe Tragic Events of April 1996 Jack Coulehan Update in Pulmonary Disease Antonio Anzueto and Luis Angel Metrics Cited byEqual Effectiveness of Older Traditional Antibiotics and Newer Broad-Spectrum Antibiotics in Treating Patients with Acute Exacerbations of Chronic Bronchitis 21 August 2001Volume 135, Issue 4Page: 301KeywordsAntibioticsChronic bronchitisHaemophilus influenzaeLungsPneumoniaPulmonary diseasesPulmonary functionRetrospective studiesStreptococcusTetracyclines ePublished: 21 August 2001 Issue Published: 21 August 2001 Copyright & PermissionsCopyright © 2001 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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.068
Threshold uncertainty score0.229

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.004
Science and technology studies0.0010.001
Scholarly communication0.0040.005
Open science0.0020.002
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0680.032

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 head0.050
GPT teacher head0.350
Teacher spread0.300 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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

Citations1
Published2001
Admission routes1
Has abstractyes

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