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Record W1969287567 · doi:10.1007/s00134-008-1266-6

Design, conduct, analysis and reporting of a multi-national placebo-controlled trial of activated protein C for persistent septic shock

2008· article· en· W1969287567 on OpenAlexaff
Simon Finfer, V. Marco Ranieri, Bruce Thompson, Philip S. Barie, Jean-François Dhainaut, Ivor S. Douglas, Bengt Gårdlund, John C. Marshall, Andrew Rhodes

Bibliographic record

VenueIntensive Care Medicine · 2008
Typearticle
Languageen
FieldMedicine
TopicSepsis Diagnosis and Treatment
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsDrotrecogin alfaMedicineProtocol (science)ScrutinySeptic shockVettingClinical trialPain medicineAnesthesiologyIntensive care medicineSevere sepsisAlternative medicineSepsisSurgeryLawInternal medicinePsychiatryPolitical science

Abstract

fetched live from OpenAlex

The role of drotrecogin alfa (activated) (DAA) in severe sepsis remains controversial and clinicians are unsure whether or not to treat their patients with DAA. In response to a request from the European Medicines Agency, Eli Lilly will sponsor a new placebo-controlled trial and history suggests the results will be subject to great scrutiny. An academic steering committee will oversee the conduct of the study and will write the study manuscripts. The steering committee intends that the study will be conducted with the maximum possible transparency; this includes publication of the study protocol and a memorandum of understanding which delineates the role of the sponsor. The trial has the potential to provide clinicians with valuable data but patients will only benefit if clinicians have confidence in the conduct, analysis and reporting of the trial. This special article describes the process by which the trial was developed, major decisions regarding trial design, and plans for independent analysis, interpretation and reporting of the data.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.100
metaresearch head score (Gemma)0.096
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.100
Threshold uncertainty score0.528

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1000.096
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0020.002
Science and technology studies0.0020.004
Scholarly communication0.0040.002
Open science0.0020.001
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0130.003

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 head0.249
GPT teacher head0.398
Teacher spread0.150 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
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

Citations84
Published2008
Admission routes1
Has abstractyes

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