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Record W1966684529 · doi:10.1159/000110560

Extracorporeal Blood Purification in Sepsis and Sepsis-Related Acute Kidney Injury

2008· review· en· W1966684529 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBlood Purification · 2008
Typereview
Languageen
FieldMedicine
TopicAcute Kidney Injury Research
Canadian institutionsLondon Health Sciences Centre
Fundersnot available
KeywordsSepsisAcute kidney injuryMedicineIntensive care medicineRenal replacement therapyRifleInternal medicine

Abstract

fetched live from OpenAlex

Sepsis-related acute kidney injury (AKI) is an important complicating feature of sepsis, and is associated with greater complexity of care and higher mortality. Until recently, AKI lacked a standard, widely accepted definition, rendering it difficult to compare previously published strategies to prevent, recognize and treat this entity. Recently, the RIFLE classification of AKI has been developed, and confirmed in observational studies to be associated with subsequent morbidity and mortality. The management of sepsis-related AKI is evolving with new basic discoveries and ongoing translational clinical research, and will likely include nephroprotective strategies to protect kidneys in patients at risk, early recognition and amelioration of renal damage and pharmacological interventions to minimize injury and promote recovery. Furthermore, extracorporeal blood purification (EBP) has an important role to play, not only in the replacement of certain aspects of renal organ function such as acid-base/electrolyte homeostasis and extracellular fluid volume, but also in an immunomodulatory fashion. As a therapy that has the potential to influence the course of disease in sepsis, EBP in sepsis and sepsis-related AKI is the subject of this review.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.932
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.353
Teacher spread0.312 · 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