Evidence map›Paper›PMID 37073571›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2023

Exploration of a Potential Desirability of Outcome Ranking Endpoint for Complicated Intra-Abdominal Infections Using 9 Registrational Trials for Antibacterial Drugs.

Tori Kinamon, Ramya Gopinath, Ursula Waack, Mark Needles, Daniel Rubin, Deborah Collyar, Sarah B Doernberg, Scott Evans, Toshimitsu Hamasaki, Thomas L Holland and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
10.8field-weighted citation impact, top 2% 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

16 citing papers in PubMed, 19 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Evaluating Desirability of Outcome Ranking (DOOR) and Win Ratio for Hierarchical Composite Endpoints in Cryptococcal Meningitis Trials.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Making Sense of Hierarchical Composite End Points in Randomized Clinical Trials-A Primer for Infectious Diseases Clinicians and Researchers.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Review
  8. Article
  9. Interagency Collaboration for Patient-Centered Antibacterial Drug Development.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. The Antibacterial Resistance Leadership Group: Scientific Advancements and Future Directions.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  14. The Future Ain't What It Used to Be…Out With the Old…In With the Better: Antibacterial Resistance Leadership Group Innovations.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  15. The Next Generation: Mentoring and Diversity in the Antibacterial Resistance Leadership Group.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  16. 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

16 authors at 10 institutions in 2 countries.

Tori KinamonCenter for Drug Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD, USA.
Ramya GopinathCenter for Drug Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD, USA.
Ursula WaackCenter for Drug Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD, USA.
Mark NeedlesCenter for Drug Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD, USA.
Daniel RubinCenter for Drug Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD, USA.
Deborah CollyarPatient Advocates in Research, Danville, CA, USA.
Sarah B DoernbergDivision of Infectious Diseases, Department of Medicine, University of California, San Francisco, CA, USA.
Scott EvansBiostatistics Center and Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, George Washington University, Washington, District of Columbia.
Toshimitsu HamasakiBiostatistics Center and Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, George Washington University, Washington, District of Columbia.
Thomas L HollandDepartment of Medicine, Duke University Medical Center, Durham, NC, USA.
Jessica Howard-AndersonAntibiotic Resistance Leadership Group, Durham, NC, USA.
Henry ChambersDivision of Infectious Diseases, Department of Medicine, University of California, San Francisco, CA, USA.
Vance G FowlerDepartment of Medicine, Duke University Medical Center, Durham, NC, USA.
Sumati NambiarAntibiotic Resistance Leadership Group, Durham, NC, USA.
Peter KimCenter for Drug Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD, USA.
Helen W BoucherAntibiotic Resistance Leadership Group, Durham, NC, USA.
United States Food and Drug Administration · USCNR de la Résistance aux Antibiotiques · FRDuke Medical Center · USUniversity of California, San Francisco · USCenter for Drug Evaluation and Research · USEmory University · USJohnson & Johnson (United States) · USMilken Institute · USOrthopaedic Research of Virginia · USTufts University · US

Funding

Antibacterial Resistance Leadership Group (ARLG)UM1AI104681 · NIAID · DUKE UNIVERSITY · PI Vance G. Fowler, Henry F HENRY CHAMBERS · 2013 to 2026
$180.8M
NIAID NIH HHS UM1 AI104681
6 · The paper itself

Abstract

backgroundDesirability of outcome ranking (DOOR) is a novel approach to clinical trial design that incorporates safety and efficacy assessments into an ordinal ranking system to evaluate overall outcomes of clinical trial participants. Here, we derived and applied a disease-specific DOOR endpoint to registrational trials for complicated intra-abdominal infection (cIAI).

methodsInitially, we applied an a priori DOOR prototype to electronic patient-level data from 9 phase 3 noninferiority trials for cIAI submitted to the US Food and Drug Administration between 2005 and 2019. We derived a cIAI-specific DOOR endpoint based on clinically meaningful events that trial participants experienced. Next, we applied the cIAI-specific DOOR endpoint to the same datasets and, for each trial, estimated the probability that a participant assigned to the study treatment would have a more desirable DOOR or component outcome than if assigned to the comparator.

resultsThree key findings informed the cIAI-specific DOOR endpoint: (1) a significant proportion of participants underwent additional surgical procedures related to their baseline infection; (2) infectious complications of cIAI were diverse; and (3) participants with worse outcomes experienced more infectious complications, more serious adverse events, and underwent more procedures. DOOR distributions between treatment arms were similar in all trials. DOOR probability estimates ranged from 47.4% to 50.3% and were not significantly different. Component analyses depicted risk-benefit assessments of study treatment versus comparator.

conclusionsWe designed and evaluated a potential DOOR endpoint for cIAI trials to further characterize overall clinical experiences of participants. Similar data-driven approaches can be utilized to create other infectious disease-specific DOOR endpoints.

Indexed as

Anti-Bacterial AgentsIntraabdominal InfectionsHumansTreatment OutcomeAnti-Bacterial Agentsantimicrobial therapyclinical trialsDOORendpointsintra-abdominal infection

Identifiers

PMID37073571
PMCPMC10443999
OpenAlexW4366351884

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.