Evidence map›Paper›PMID 28181177›Full record

ArticleDrugs2017

Outcomes Associated with Generic Drugs Approved Using Product-Specific Determinations of Therapeutic Equivalence.

Joshua J Gagne, Jennifer M Polinski, Wenlei Jiang, Sarah K Dutcher, Jing Xie, Joyce Lii, Lisa A Fulchino, Aaron S Kesselheim

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Drugs, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
10.6field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Prescription writing: Generic or brand?Indian journal of psychiatry
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Joshua J GagneProgram on Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 1620 Tremont St Suite 3030, Boston, MA, 02120, USA. jgagne1@partners.org.
Jennifer M PolinskiProgram on Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 1620 Tremont St Suite 3030, Boston, MA, 02120, USA.
Wenlei JiangOffice of Generic Drugs, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA.
Sarah K DutcherOffice of Generic Drugs, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA.
Jing XieProgram on Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 1620 Tremont St Suite 3030, Boston, MA, 02120, USA.
Joyce LiiProgram on Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 1620 Tremont St Suite 3030, Boston, MA, 02120, USA.
Lisa A FulchinoProgram on Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 1620 Tremont St Suite 3030, Boston, MA, 02120, USA.
Aaron S KesselheimProgram on Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 1620 Tremont St Suite 3030, Boston, MA, 02120, USA.
Harvard University · USBrigham and Women's Hospital · USCenter for Drug Evaluation and Research · USUnited States Food and Drug Administration · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe sought to examine rates of clinical outcomes among patients before and after market introduction of generic versions of five drugs approved using product-specific equivalence determinations.

methodsWe used data from a large national insurer to identify patients who initiated a study (acarbose tablets, salmon calcitonin nasal spray, enoxaparin injection, vancomycin capsules, venlafaxine extended-release tablets) or control drug (nateglinide, glimepiride, alendronate, fondaparinux, metronidazole, sertraline, paroxetine) in each calendar month between 2003 and 2012 and to determine rates of claims-based proxies for lack of effectiveness outcomes following initiation. We used segmented time-series analyses to evaluate level (short-term) and slope (longer-term) changes in outcomes upon introduction of a generic study or control drug.

resultsAmong study drugs, we observed three increases (one with p < 0.05) and three decreases (two with p < 0.05) in the level of outcome rates. All changes in slope indicated decreases in outcomes from the brand-only to the generic period; four had p < 0.05. For control drugs, we observed positive level changes for eight of nine drug-outcome pairs; two had p < 0.05. We observed negative slope changes for eight out of nine pairs; six had p < 0.05. We observed a significant increase in level change following the introduction of generic bupropion versions that were later found to be not bioequivalent (p < 0.01).

conclusionsWe did not find evidence that introduction of generic drugs approved using product-specific therapeutic equivalence determinations was associated with worse clinical outcomes than those among initiators of the brand-name versions of the same products. We observed similar patterns for control drugs.

Indexed as

Drug ApprovalDrugs, GenericHumansTherapeutic EquivalencyTreatment OutcomeDrugs, Generic

Identifiers

PMID28181177
OpenAlexW2586784744

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.