Evidence map›Paper›PMID 28160230›Full record

ReviewDrugs in R&D2017

Risk Evaluation and Mitigation Strategies (REMSs): Are They Improving Drug Safety? A Critical Review of REMSs Requiring Elements to Assure Safe Use (ETASU).

Pol F Boudes

Abstract readReview
In one paragraph

Review in Drugs in R&D, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

1 author.

Pol F BoudesPFB Consulting, 152 E. Delaware Avenue, Pennington, NJ, 08534, USA. pfbcmo@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Risk Evaluation and Mitigation Strategies (REMSs) with Elements to Assure Safe Use (ETASU) are requested for drugs with significant safety risks. We reviewed REMS programs issued since 2011 to evaluate their rationales, characteristics, and consistencies, and evaluated their impact on improving drug safety. We conducted a literature search and a survey of relevant websites (FDA, manufacturers, and REMSs). ETASU characteristics were summarized. REMS risks were compared with labeled risks, including black box warnings. Forty-two programs were analyzed. Seven incorporated drugs of the same class. Most drugs (57%) were indicated for an orphan disease. A single risk was mentioned in 24 REMSs, and multiple risks in 18. Embryo-fetal toxicity and abuse or misuse were the most frequent risks. All risks were identified during clinical development but some were hypothetical. Thirty-six drugs had a black box warning. REMS risks and black box risks differed for 11 drugs. A drug with multiple indications could have a REMS for one of them but not for another. Most REMSs required prescriber training and certification, half required dispenser certification and patient enrolment. REMSs were revised multiple times and only three (7%) were discontinued. No data were available to establish whether REMSs were effective in improving drug safety. Some REMSs were deemed inefficient. REMSs with ETASU continue to be implemented but their impact on improving drug safety is still not documented. Hence, one of the main requirements of the FDA Amendments Act of 2007 is not being addressed. In addition, REMSs are complex and their logic is inconsistent; we recommend a thorough re-evaluation of the REMS program.

Indexed as

Drug-Related Side Effects and Adverse ReactionsHumansPharmaceutical PreparationsRisk AssessmentRisk Evaluation and MitigationUnited StatesUnited States Food and Drug AdministrationPharmaceutical Preparations

Identifiers

PMID28160230
PMCPMC5427046

What OpenQuestion holds

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Registered trials

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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.