Evidence map›Paper›PMID 29215916›Full record

ArticleExpert opinion on drug safety2018

New and incremental FDA black box warnings from 2008 to 2015.

Michael T Solotke, Sanket S Dhruva, Nicholas S Downing, Nilay D Shah, Joseph S Ross

Abstract read
In one paragraph

Article in Expert opinion on drug safety, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Observational
  12. Animal models of drug-induced liver injury.Biochimica et biophysica acta. Molecular basis of disease · 2019
    Review
  13. Article
  14. Biomarkers of drug-induced liver injury.Advances in pharmacology (San Diego, Calif.) · 2019
    Review
  15. Review
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

5 authors.

Michael T Solotkea School of Medicine , Yale University , New Haven , CT , USA.
Sanket S Dhruvab Robert Wood Johnson Foundation Clinical Scholars Program, Department of Internal Medicine , Yale School of Medicine , New Haven , CT , USA.
Nicholas S Downinge Department of Medicine , Brigham and Women's Hospital , Boston , MA , USA.
Nilay D Shahf Division of Health Care Policy and Research and Kern Center for the Science of Health Care Delivery , Mayo Clinic , Rochester , MN , USA.
Joseph S Rossb Robert Wood Johnson Foundation Clinical Scholars Program, Department of Internal Medicine , Yale School of Medicine , New Haven , CT , USA.

Funding

Short Term Research Training: Students in Health Professional SchoolsT35DK104689 · NIDDK · YALE UNIVERSITY · PI LLOYD G CANTLEY, Sarwat I Chaudhry · 2015 to 2026
$2.6M
NIDDK NIH HHS T35 DK104689
6 · The paper itself

Abstract

backgroundThe boxed warning (also known as 'black box warning [BBW]') is one of the strongest drug safety actions that the U.S. Food & Drug Administration (FDA) can implement, and often warns of serious risks. The objective of this study was to comprehensively characterize BBWs issued for drugs after FDA approval.

methodsWe identified all post-marketing BBWs from January 2008 through June 2015 listed on FDA's MedWatch and Drug Safety Communications websites. We used each drug's prescribing information to classify its BBW as new, major update to a preexisting BBW, or minor update. We then characterized these BBWs with respect to pre-specified BBW-specific and drug-specific features.

resultsThere were 111 BBWs issued to drugs on the US market, of which 29% (n = 32) were new BBWs, 32% (n = 35) were major updates, and 40% (n = 44) were minor updates. New BBWs and major updates were most commonly issued for death (51%) and cardiovascular risk (27%). The new BBWs and major updates impacted 200 drug formulations over the study period, of which 64% were expected to be used chronically and 58% had available alternatives without a BBW.

conclusionsNew BBWs and incremental updates to existing BBWs are frequently added to drug labels after regulatory approval.

Indexed as

Drug-Related Side Effects and Adverse ReactionsProduct Surveillance, PostmarketingDrug LabelingHumansUnited StatesUnited States Food and Drug AdministrationBlack box warningboxed warningdrug labelingdrug safetyfood and drug administration

Identifiers

PMID29215916
PMCPMC6013049

What OpenQuestion holds

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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.