MétaCan
Menu
Back to cohort
Record W4414531958 · doi:10.1186/s13063-025-09028-w

Coenrollment of critically ill patients in PROSPECT: characteristics and association with treatment efficacy and safety

2025· article· en· W4414531958 on OpenAlexafffund
Alex Thabane, Diane Heels‐Ansdell, Nicole Zytaruk, Jennie Johnstone, François Lauzier, Yaseen M. Arabi, John Muscedere, France Clarke, Lori Hand, Irene Watpool, Rebecca Porteous, Gyan Sandu, Marlene Santos, Danaë Tassy, John C. Marshall, Ian Ball, Bram Rochwerg, Tim Karachi, Ryan Zarychanski, François Marquis, Jan O. Friedrich, Paul Lysecki, Lois Saunders, Shelley Anderson-White, Alyson Takaoka, Mary Copland, Megan Davis, Neala Hoad, Melissa Shears, Kristine Wachmann

Bibliographic record

VenueTrials · 2025
Typearticle
Languageen
FieldMedicine
TopicNosocomial Infections in ICU
Canadian institutionsJoseph Brant HospitalUniversity of ManitobaMcMaster University Medical CentreWestern UniversityHôpital Maisonneuve-RosemontUniversity of OttawaUniversité LavalUniversity of TorontoMcMaster UniversityQueen's UniversityImpact
FundersCanadian Institutes of Health ResearchCanadian Frailty NetworkPhysicians' Services Incorporated FoundationAcademic Medical Organization of Southwestern OntarioMcMaster University
KeywordsCritically illAssociation (psychology)MEDLINEClinical trialCritical illness

Abstract

fetched live from OpenAlex

INTRODUCTION: Coenrollment is the enrollment of one participant into more than one study. While coenrollment can enhance research efficiency, it theoretically may result in treatment interactions that distort effect estimates. This study aimed to explore the sensitivity of safety and efficacy outcomes to coenrollment in an international, blinded randomized controlled trial evaluating probiotic use in critically ill patients (PROSPECT: Probiotics: Prevention of Severe Pneumonia and Endotracheal Colonization Trial; [NCT02462590]). METHODS: In this planned secondary analysis of PROSPECT, we performed Cox proportional hazards analyses to assess the sensitivity of the treatment effect of probiotics to coenrollment on the primary outcome of ventilator-associated pneumonia. Secondarily, we examined the characteristics of coenrolled patients, studies, and centers using descriptive statistics, explored factors associated with coenrollment via a multilevel logistic regression model, and conducted Fisher's exact tests to evaluate the difference in adverse event rates (defined as Lactobacillus species from a sterile site or cultured as the sole or predominant organism from a nonsterile site) by coenrollment status. RESULTS: Of 2650 PROSPECT participants recruited across 44 centers, 568 patients (21.4%) were coenrolled a total of 680 times across 115 studies. Coenrollment did not modify the effect of probiotics on the primary outcome of ventilator-associated pneumonia (p = 0.630). Patients who were coenrolled in any other study had a higher rate of adverse events compared to non-coenrolled patients (p = 0.011); however, post hoc testing found no difference in adverse events between patients coenrolled specifically into at least one other randomized controlled trial and patients who were not coenrolled into another randomized controlled trial (i.e., coenrolled into an observational study or not coenrolled at all; p = 0.126). Multivariable analyses found more severely ill patients (p = 0.038) and patients from centers with a longer PROSPECT recruitment period (p = 0.047) were more likely to be coenrolled. CONCLUSION: In this international, blinded trial, one-fifth of patients enrolled were coenrolled in at least one other study, which had no influence on the effect of probiotics on the primary outcome. Coenrolled patients were more likely to have higher disease severity, and to be recruited from a center with a longer history of participation in PROSPECT. TRIAL REGISTRATION: The PROSPECT trial was registered in ClinicalTrials.gov NCT02462590. Registered on June 2015.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.503

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.354
Teacher spread0.325 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueTrialsSame topicNosocomial Infections in ICUFrench-language works237,207