MétaCan
Menu
Back to cohort
Record W2407353553 · doi:10.1097/tp.0000000000000894

Evaluation and Management of Proteinuria After Kidney Transplantation

2015· review· en· W2407353553 on OpenAlexafffund
Anne Tsampalieros, Greg Knoll

Bibliographic record

VenueTransplantation · 2015
Typereview
Languageen
FieldMedicine
TopicRenal Transplantation Outcomes and Treatments
Canadian institutionsChildren's Hospital of Eastern Ontario
FundersCanadian Institutes of Health Research
KeywordsProteinuriaMedicineTransplantationKidney transplantationInternal medicineEtiologyPopulationUrologyIntensive care medicineKidney

Abstract

fetched live from OpenAlex

In Brief Proteinuria occurs commonly after kidney transplantation. Because there are no specific guidelines for defining and detecting proteinuria in transplant recipients, its prevalence can vary depending on the methods used. Most often, the same cutoffs for defining proteinuria in the nontransplant population are applied. There are several risk factors for proteinuria, including some transplant-specific diagnoses and immunosuppressive medications. Posttransplantation proteinuria is associated with reduced graft survival as well as an increased risk of cardiovascular events and death. Treatments to decrease proteinuria have been based on blocking the renin-angiotensin-aldosterone system with the use of angiotensin-converting enzyme inhibitors or angiotensin receptor blockers. This review describes the measurement, prevalence, etiology, prognostic significance, and management of proteinuria in both adult and pediatric transplant recipients. Proteinuria is a simple and valuable biomarker in kidney transplantation. The authors describe the measurement, prevalence, etiology, prognostic significance and management of proteinuria in both adult and pediatric transplant recipients.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.743
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.077
GPT teacher head0.392
Teacher spread0.315 · 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 designOther design
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

Citations42
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueTransplantationSame topicRenal Transplantation Outcomes and TreatmentsFrench-language works237,207