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Record W2063356426 · doi:10.1111/sdi.12300

Unnecessary Renal Replacement Therapy for Acute Kidney Injury is Harmful for Renal Recovery

2014· editorial· en· W2063356426 on OpenAlexafffund
Edward G. Clark, Sean M. Bagshaw

Bibliographic record

VenueSeminars in Dialysis · 2014
Typeeditorial
Languageen
FieldMedicine
TopicAcute Kidney Injury Research
Canadian institutionsUniversity of AlbertaOttawa Hospital
FundersCanada Research ChairsAlberta Innovates - Health Solutions
KeywordsMedicineRenal replacement therapyAcute kidney injuryIntensive care medicineKidney diseaseDialysisHemodialysisModalitiesLimitingDiseaseHarmInternal medicine

Abstract

fetched live from OpenAlex

The use of renal replacement therapy (RRT) for severe acute kidney injury (AKI) is frequently necessary in the face of life-threatening complications; however, there is wide practice variation with respect to triggers for RRT initiation. Recent evidence suggests that RRT may be independently associated with impaired recovery following AKI. There are plausible mechanistic reasons why RRT may be harmful and this concept is supported by ancillary evidence in the form of studies that have assessed the impact of different modalities of RRT for AKI as well as some of the literature pertaining to initiation of chronic hemodialysis in end-stage kidney disease patients (ESKD). As such, avoiding unnecessary RRT (URRT) is a desirable goal. There is emerging evidence of strategies that may be effective to help limit URRT. These strategies primarily involve early identification of AKI and limiting iatrogenic harm once AKI is established. Further research into defining and preventing URRT may help improve the consistently poor outcomes following severe AKI with respect to development of chronic kidney disease and ESKD.

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)0.004
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.057
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.357
Teacher spread0.341 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

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

Citations52
Published2014
Admission routes2
Has abstractyes

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