Evidence map›Paper›PMID 26108298›Full record

ReviewDrug safety2015

Evaluating AE Reporting of Two Off-Patent Biologics to Inform Future Biosimilar Naming and Reporting Practices.

Stella Stergiopoulos, Kenneth Getz

Abstract readReview
PubMed Publisher
In one paragraph

Review in Drug safety, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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.

  1. Article
  2. Review
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Stella StergiopoulosCenter for the Study of Drug Development, Tufts University School of Medicine, Boston, MA, USA.
Kenneth Getz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Historical studies of voluntary, spontaneous drug reports show poor attribution of adverse events to generic versions of commonly prescribed medications. As biosimilars enter the market place, it may be similarly difficult to accurately attribute adverse events to their respective reference products. At this time, lack of global consensus with regard to biosimilar naming conventions may result in drug reporting confusion, misattribution of adverse events and insufficient active monitoring of safety signals. Now, with the first biosimilar approval in the USA and many biosimilars expected to be launched globally in the near future, US Food and Drug Administration (FDA) guidance on biosimilar naming conventions will be essential. To inform the FDA and the global drug development community, the Tufts Center for the Study of Drug Development (Tufts CSDD) examined primary suspect reports sent to the FDA's Adverse Event Reporting System (FAERS) from US reporters for two biologics that have lost patent exclusivity--somatropin and human insulin--and extracted 4703 insulin reports and 6487 somatropin reports from FAERS. The results show that reporting practices are inconsistent between the two biologics that were evaluated and that manufacturer identifiability and traceability are lacking. Ways to improve biosimilar naming conventions and improve reporting practices are suggested.

Indexed as

Adverse Drug Reaction Reporting SystemsBiosimilar PharmaceuticalsDrug ApprovalForecastingHumansUnited StatesUnited States Food and Drug AdministrationBiosimilar Pharmaceuticals

Identifiers

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.