Evidence map›Paper›PMID 30107400›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2018

Optimizing the Design and Analysis of Clinical Trials for Antibacterials Against Multidrug-resistant Organisms: A White Paper From COMBACTE's STAT-Net.

Marlieke E A de Kraker, Harriet Sommer, Femke de Velde, Isaac Gravestock, Emmanuel Weiss, Alexandra McAleenan, Stavros Nikolakopoulos, Ohad Amit, Teri Ashton, Jan Beyersmann and 11 more

Abstract readConsensus Statement
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Perpetual observational studies: new strategies to support efficient implementation of observational studies and randomized trials in infectious diseases.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2022
    Article
  8. Review
  9. Article
  10. Ceftolozane/Tazobactam for Resistant DrugsLife (Basel, Switzerland) · 2021
    Review
  11. Article
  12. Considerations and Caveats in Combating ESKAPE Pathogens against Nosocomial Infections.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020
    Review
  13. Article
  14. 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

21 authors.

Marlieke E A de KrakerInfection Control Program, Geneva University Hospitals and Faculty of Medicine, Switzerland.
Harriet SommerInstitute for Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Germany.
Femke de VeldeDepartment of Medical Microbiology and Infectious Diseases, Rotterdam, The Netherlands.
Isaac GravestockEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland.
Emmanuel WeissUniversité Paris Diderot, Paris, France.
Alexandra McAleenanDepartment of Population Health Sciences, Bristol Medical School, University of Bristol, United Kingdom.
Stavros NikolakopoulosDepartment of Biostatistics and Research Support, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands.
Ohad AmitGlaxoSmithKline, Collegeville, Pennsylvania.
Teri AshtonGlaxoSmithKline, Collegeville, Pennsylvania.
Jan BeyersmannInstitute of Statistics, Ulm University, Germany.
Leonhard HeldEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland.
Andrew M LoveringBristol Centre for Antibiotic Research and Evaluation, Infection Sciences, North Bristol NHS Trust, Southmead Hospital, United Kingdom.
Alasdair P MacGowanBristol Centre for Antibiotic Research and Evaluation, Infection Sciences, North Bristol NHS Trust, Southmead Hospital, United Kingdom.
Johan W MoutonDepartment of Medical Microbiology and Infectious Diseases, Rotterdam, The Netherlands.
Jean-François TimsitUMR 1137 IAME Inserm/Université Paris Diderot.
David WilsonAstraZeneca, Macclesfield, United Kingdom.
Martin WolkewitzInstitute for Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Germany.
Esther BettiolInfection Control Program, Geneva University Hospitals and Faculty of Medicine, Switzerland.
Aaron DaneDaneStat Consulting Limited, Macclesfield, United Kingdom.
Stephan HarbarthInfection Control Program, Geneva University Hospitals and Faculty of Medicine, Switzerland.
COMBACTE-NET Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Innovations are urgently required for clinical development of antibacterials against multidrug-resistant organisms. Therefore, a European, public-private working group (STAT-Net; part of Combatting Bacterial Resistance in Europe [COMBACTE]), has reviewed and tested several innovative trials designs and analytical methods for randomized clinical trials, which has resulted in 8 recommendations. The first 3 focus on pharmacokinetic and pharmacodynamic modeling, emphasizing the pertinence of population-based pharmacokinetic models, regulatory procedures for the reassessment of old antibiotics, and rigorous quality improvement. Recommendations 4 and 5 address the need for more sensitive primary end points through the use of rank-based or time-dependent composite end points. Recommendation 6 relates to the applicability of hierarchical nested-trial designs, and the last 2 recommendations propose the incorporation of historical or concomitant trial data through Bayesian methods and/or platform trials. Although not all of these recommendations are directly applicable, they provide a solid, evidence-based approach to develop new, and established, antibacterials and address this public health challenge.

Indexed as

Drug Resistance, Multiple, BacterialRandomized Controlled Trials as TopicAnti-Bacterial AgentsBacterial InfectionsBayes TheoremData Interpretation, StatisticalEvidence-Based MedicineHumansResearch DesignAnti-Bacterial Agents

Identifiers

PMID30107400
PMCPMC6260160

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.