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Savings from Canadian Internet Pharmacies Are Limited

2006· letter· en· W2087882132 on OpenAlexaboutno aff
Michael B. Rothberg

Bibliographic record

VenueAnnals of Internal Medicine · 2006
Typeletter
Languageen
FieldEconomics, Econometrics and Finance
TopicPharmaceutical Economics and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsPharmacyMedicineThe InternetDrug pricesPurchasingAdvertisingFamily medicineBusinessMarketing

Abstract

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Letters7 February 2006Savings from Canadian Internet Pharmacies Are LimitedMichael Rothberg, MDMichael Rothberg, MDFrom Baystate Medical Center, Springfield, MA 01199.Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/0003-4819-144-3-200602070-00026 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail TO THE EDITOR:After comparing prices at American and Canadian Internet pharmacies, Quon and colleagues (1) concluded that “Americans purchasing brand-name medications from Canadian Internet pharmacies can realize substantial savings.” Although this is undoubtedly true for a few individuals, it does not address the needs of the two thirds of Americans who feel drug prices are unreasonably high. As the authors point out, reimportation accounts for less than 1% of the U.S. market; however, even this small amount has led to rapidly rising prices at Canadian pharmacies over a 6-month period.The companies that manufacture the drugs would rather cut ...References1. Quon BS, Firszt R, Eisenberg MJ. A comparison of brand-name drug prices between Canadian-based Internet pharmacies and major U.S. drug chain pharmacies. Ann Intern Med. 2005;143:397-403. [PMID: 16172438] LinkGoogle Scholar2. Lauerman J. Merck shuts off Canadian pharmacies selling to U.S. Accessed at www.bloomberg.com/apps/news?pid=10000082&sid=ai9RdezyHWRE&refer=canada on 7 October 2005. Google Scholar3. Rowland C. Canada looks to curb drug exports: nation preparing to protect supply. Accessed at www.boston.com/business/articles/2005/06/30/canada_looks_to_curb_drug_exports/ on 2 January 2006. Google Scholar4. Sales MM, Cunningham FE, Glassman PA, Valentino MA, Good CB. Pharmacy benefits management in the Veterans Health Administration: 1995 to 2003. Am J Manag Care. 2005;11:104-12. [PMID: 15726858] MedlineGoogle Scholar Author, Article, and Disclosure InformationAffiliations: From Baystate Medical Center, Springfield, MA 01199.Disclosures: None disclosed. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetailsSee AlsoA Comparison of Brand-Name Drug Prices between Canadian-Based Internet Pharmacies and Major U.S. Drug Chain Pharmacies Bradley S. Quon , Rafael Firszt , and Mark J. Eisenberg Savings from Canadian Internet Pharmacies Are Limited Mark J. Eisenberg , Rafael Firszt , and Bradley Quon Metrics 7 February 2006Volume 144, Issue 3Page: 224KeywordsConflicts of interestDrug pricesDrugsInternetLegislationMedicare ePublished: 7 February 2006 Issue Published: 7 February 2006 CopyrightCopyright © 2006 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)0.001
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.572
Threshold uncertainty score0.851

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0040.001
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.5720.257

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 head0.128
GPT teacher head0.325
Teacher spread0.197 · 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.

Study designObservational
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".

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Citations0
Published2006
Admission routes1
Has abstractyes

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