ReviewPatient safety in surgery2025
Flawed design and selection bias in critical care randomized controlled trials (RCTs): the patient safety risk of the "RCT mimic".
Review in Patient safety in surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Inherent safety risks of guidelines derived from "cause-agnostic" randomized controlled trials: a review.Patient safety in surgery · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Over three decades, randomized controlled trials (RCTs) for critical care syndromes such as acute respiratory distress syndrome (ARDS), sepsis, and community acquired pneumonia (CAP) have repeatedly produced non-reproducible results, at times leading to high-impact reversals of global protocols when later studies revealed harm. These trials enroll patients using expert-derived threshold sets intended to define the syndrome. This analytic review presents the first historical and formal methodological review and mathematical analysis of such RCT using causal symbolic modeling (cSM), directed acyclic graphs (DAGs), and do-calculus. The review includes landmark publications, task-force threshold sets, and case examples, including the 2025 REMAP-CAP corticosteroid domain, to model the causal structure of standard RCTs applied to threshold-defined syndromes. PubMed searches and ChatGPT were used to assist in this process. The historical inquiry uncovered that the critical care syndromes of ARDS and sepsis are guessed synthetic constructs, devised in the twentieth century by Thomas Petty and Roger Bone as heuristic groupings of diverse but similar appearing diseases. However a much more striking discovery was that Petty and Bone introduced a streamlined variant of the Bradford Hill RCT method, here termed the "Petty-Bone RCT', which conditions enrollment on a triage threshold set that functions as a cohort-level collider. This design yields results valid only for the unstable mixture of diseases enrolled. The "Petty-Bone RCT" preserves the outward form of a randomized trial but lacks the causal structure needed for transportability, making it an RCT mimic. The cSM analysis in this review shows that while potentially internally valid, such trials cannot produce reliable treatment protocols and often cause harm. These findings compel the abandonment of the Petty-Bone RCT framework, the integration of cSM into the Consolidated Standards of Reporting Trials (CONSORT), and prioritizing mechanistically grounded, investigator-led designs in critical care research. These provocative discoveries indicate that not one more patient, not one more investigator, not one more grant should be sacrificed to the next iteration of a Petty and Bone's synthetic syndrome RCT.
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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.