Trial reportAmerican heart journal2026
A Bayesian re-analysis of the STRESS trial.
Trial report in American heart journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03229538 (STeroids to REduce Systemic Inflammation After Infant Heart Surgery), which is not on this map. Cited by 1 paper.
What it found
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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.
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.
STeroids to REduce Systemic Inflammation After Infant Heart Surgery (STRESS)
Who cites it
1 citing paper in PubMed.
- Prophylactic Methylprednisolone in Neonatal On-Pump Cardiac Surgery.Reviews in cardiovascular medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
26 authors.
Funding
Abstract
backgroundProphylactic steroids are often used to reduce the systemic inflammatory response to cardiopulmonary bypass in infants undergoing heart surgery. The STRESS trial found that the odds of a worse outcome did not differ between infants randomized to methylprednisolone (n = 599) versus placebo (n = 601) (adjusted odds ratio [OR], 0.86; P = .14). However, secondary analyses showed possible benefits with methylprednisolone. To investigate further using a different probabilistic approach, we re-analyzed the STRESS trial using Bayesian analytics.
methodsWe used a covariate-adjusted proportional odds model using the original STRESS trial primary endpoint, a ranked composite of death, transplant, major complication and post op length of stay. We performed Markov Chain Monte Carlo simulations to assess the probability of benefit (OR < 1) versus harm (OR > 1). Primary analysis assumed a neutral probability of benefit versus harm with weak prior belief strength (nearly noninformative prior distribution). To illustrate magnitude of effect, we calculated predicted risk of death, transplant or major complications for methylprednisolone and placebo. Sensitivity analyses evaluated pessimistic (5%-30% prior likelihood of benefit), neutral and optimistic (70%-95%) prior beliefs, and controlled strength of prior belief as weak (30% variance), moderate (15%) and strong (5%). A secondary analysis derived empirical priors using data from four previous steroid trials.
resultsThe posterior probability of any benefit from methylprednisolone was 92% and probability of harm was 8%. Composite death or major complication occurred in 18.8% of subjects with an absolute risk difference of -2% (95% CI -3%, +1%) for methylprednisolone. Each of 9 sensitivity analyses demonstrated greater probability of benefit than harm in the methylprednisolone group with 8 of 9 demonstrating >80% probability of benefit and ≥1% absolute difference in risk of death, transplant or major complications. In secondary analysis deriving priors from previous steroid trials, results were consistent with a 95% posterior probability of benefit.
conclusionOur Bayesian re-analysis of the STRESS trial, using a range of prior beliefs, demonstrated a high probability that perioperative methylprednisolone reduces the risk of death or major complications in infants undergoing cardiopulmonary bypass compared with placebo. This more in-depth analysis expands the initial clinical evaluation of methylprednisolone provided by the STRESS trial.
trial registrationClinicaltrials.gov: NCT03229538 (https://clinicaltrials.gov/study/NCT03229538).
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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 Socratic graph.