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

2025· other· en· W7084070425 on OpenAlexaff

Bibliographic record

VenueFigshare · 2025
Typeother
Languageen
FieldComputer Science
TopicTopic Modeling
Canadian institutionsJoseph Brant HospitalUniversity of ManitobaWestern UniversityHôpital Maisonneuve-RosemontMcMaster UniversityQueen's UniversityUniversity of OttawaUniversité LavalUniversity of Toronto
Fundersnot available
KeywordsAdverse effectRandomized controlled trialLogistic regressionPneumoniaCritically illClinical trialProportional hazards modelClinical endpoint

Abstract

fetched live from OpenAlex

Abstract 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.471
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.011
GPT teacher head0.231
Teacher spread0.220 · 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.

Study designObservational
Domainnot available
GenreOther

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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