Evidence map›Paper›PMID 40512968›Full record

ReviewClinical infectious diseases : an official publication of the Infectious Diseases Society of America2025

Making Sense of Hierarchical Composite End Points in Randomized Clinical Trials-A Primer for Infectious Diseases Clinicians and Researchers.

Sean W X Ong, Robert K Mahar, Chris J Selman, Ruxandra Pinto, Joshua S Davis, Robert A Fowler, Steven Y C Tong, Nick Daneman

Registry-linked trialAbstract readReview
In one paragraph

Review in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07453914 (Clinical Assessment of Respiratory Events for Kids), which is not on this 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.

NCT07453914 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Clinical Assessment of Respiratory Events for Kids: Integrating Diagnostics and Stewardship

TypeinterventionalSponsorBioMérieuxRan2026 to 2026Enrolled720ConditionsRespiratory Tract Infections (RTI), Influenza-like Illness, ChildrenArmsSPOTFIRE R
3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Trial
  2. Beyond Bloodstream Infection: The Potential for Hierarchical Composite Endpoints in Vascular Access Research.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
  3. Empirical Antibiotic Activity and Outcomes in Pediatric Gram-negative Bloodstream Infections: A Rank-based Composite Outcome Analysis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
  4. Review
  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

8 authors.

Sean W X OngInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-8570-436X
Robert K MaharCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia.ORCID 0000-0002-3643-923X
Chris J SelmanClinical Epidemiology and Biostatistics Unit, Murdoch Children's Research Institute, Parkville, Victoria, Australia.ORCID 0000-0002-1277-5538
Ruxandra PintoInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0003-3712-4624
Joshua S DavisSchool of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia.
Robert A FowlerInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Steven Y C TongDepartment of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia.ORCID 0000-0002-1368-8356
Nick DanemanInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.

Funding

Connaught International ScholarshipEmerging & Pandemic Infections ConsortiumGovernment of Ontario, CanadaMelbourne Research ScholarshipQueen Elizabeth II Graduate Scholarship in Science and TechnologyUniversity of MelbourneUniversity of Toronto
6 · The paper itself

Abstract

Hierarchical composite end points (HCEs), combining features of simple composite end points and conventional ordinal end points, are increasingly being used in infectious diseases (ID) research. However, many clinicians may be unfamiliar with these novel end points, including the variety of different target parameters that may be of interest and the methods that can be used to estimate them. In this review, we provide a conceptual overview of HCEs by defining them and providing examples from the ID literature. We explain different methods for analyzing HCEs, including (1) the Wilcoxon rank sum approach (often used in studies with a desirability of outcome ranking [DOOR] end point), (2) generalized pairwise comparisons (used to estimate a win ratio or win odds), (3) proportional odds model (and the relevance of the proportional odds assumption), and, (4) the probabilistic index model. This review will help ID clinicians and healthcare providers interpret current and future research using such end points.

Indexed as

Communicable DiseasesEndpoint DeterminationRandomized Controlled Trials as TopicHumansclinical trialHierarchical composite end pointsordinal outcomesoutcomestrial design

Identifiers

PMID40512968
PMCPMC12728281

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.