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Record W2127370713 · doi:10.1097/mcc.0b013e32834a4b19

Translational research

2011· review· en· W2127370713 on OpenAlexaff
Alastair Proudfoot, Matthew Hind, Mark Griffiths

Bibliographic record

VenueCurrent Opinion in Critical Care · 2011
Typereview
Languageen
FieldMedicine
TopicAcute Kidney Injury Research
Canadian institutionsInstitute of Infection and ImmunityQueen's University
Fundersnot available
KeywordsMedicineTranslational researchPathology

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: In this article, we review recent developments in translational research in the fields of acute lung injury, acute kidney injury and sepsis with a focus on emerging biomarkers and outline future advances in the field. RECENT FINDINGS: There is currently a significant and unmet need for high quality translational research in critical care. The emergence of '-omics' technologies and sophisticated imaging techniques have resulted in a rapid growth of emerging biomarkers. Biomarkers would ideally provide early and reliable endpoints for proof of concept in clinical trials and inform clinical decision making through earlier and more precise diagnosis and risk stratification. SUMMARY: Despite significant investment in basic science and time-consuming clinical trials, the majority of pharmacological interventions developed for critical illness have yet to translate into measurable clinical benefit. Future validation and qualification of emerging biomarkers allied to advances in pharmacogenomic profiling have the potential to provide valuable clinical information while accurately phenotyping patients enrolled in future clinical trials.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.921
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0020.001

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 head0.761
GPT teacher head0.661
Teacher spread0.100 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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

Citations19
Published2011
Admission routes1
Has abstractyes

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