Evidence map›Paper›PMID 33276841›Full record

ArticleMayo Clinic proceedings2020

Antibiotics Approved for Marketing in Populations Specifically Excluded From Premarketing Trials, 1999-2018.

Aida Kuzucan, John H Powers, Peter Doshi

Open access · greenAbstract read
In one paragraph

Article in Mayo Clinic proceedings, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

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

3 authors at 2 institutions in 1 country.

Aida KuzucanPharmaceutical Health Services Research Department, University of Maryland- Baltimore, Baltimore, MD. Electronic address: akuzucan@umaryland.edu.
John H PowersGeorge Washington University School of Medicine and Health Sciences Medicine, Washington, DC.
Peter DoshiPharmaceutical Health Services Research Department, University of Maryland- Baltimore, Baltimore, MD.
University of Maryland, Baltimore · USGeorge Washington University · US

Funding

RESEARCH TRAINING IN THE EPIDEMIOLOGY OF AGINGT32AG000262 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI ANN L GRUBER-BALDINI, DENISE L ORWIG · 1998 to 2026
$8.2M
NIA NIH HHS T32 AG000262
6 · The paper itself

Abstract

Approval by the US Food and Drug Administration (FDA) of a drug for a given indication is thought to reassure clinicians, other health care providers, and patients that substantial evidence of effectiveness exists for specific indicated populations (patients and diseases). This study examines whether FDA approval of certain antibiotics should be so reassuring for all patient populations identified in the FDA-approved labels. Specifically, this study compared patient populations covered by FDA-approved labels for 21 novel antibiotics approved between 1999 and 2018 to the patient exclusion and inclusion criteria of pivotal trials that supported those approvals. We found that every FDA-approved label for these antibiotics included at least one identifiable patient population that was explicitly excluded from enrolling in the supporting pivotal trials. Two antibiotics, bedaquiline and ceftazidime-avibactam, were approved for use in populations that were fully excluded from enrolling in registration trials.

Indexed as

Anti-Bacterial AgentsBacterial InfectionsDrug ApprovalEligibility DeterminationPatient SelectionAdultClinical Decision-MakingClinical Trials as TopicFemaleHumansMalePractice Patterns, Physicians'Product Surveillance, PostmarketingUnited StatesAnti-Bacterial Agents

Identifiers

PMID33276841
PMCPMC8080959
OpenAlexW3109224580

What OpenQuestion holds

Textmetadata
LicenceTDM
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.