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Record W1995950710 · doi:10.1097/fjc.0b013e3181ad2190

Pathophysiology of Diabetic Nephropathy: Involvement of Multifaceted Signalling Mechanism

2009· review· en· W1995950710 on OpenAlexaff
Pitchai Balakumar, Mandeep Kumar Arora, Jayarami Reddy, Madhu B. Anand‐Srivastava

Bibliographic record

VenueJournal of Cardiovascular Pharmacology · 2009
Typereview
Languageen
FieldMedicine
TopicChronic Kidney Disease and Diabetes
Canadian institutionsUniversité de Montréal
FundersIsrael Science Foundation
KeywordsDiabetic nephropathyMedicinePathogenesisMechanism (biology)NephropathyDiseaseDiabetes mellitusPathophysiologyBioinformaticsPharmacologyImmunologyInternal medicineEndocrinologyBiology

Abstract

fetched live from OpenAlex

Diabetic nephropathy is a major cause of end-stage renal failure and the mortality rate due to this disease is continuously progressing worldwide. The multifaceted signalling mechanisms have been identified to be involved in the pathogenesis of diabetic nephropathy. Despite the modern therapies like antidiabetics, antihypertensives, and antioxidants available to treat diabetic nephropathy; most of patients continue to show progressive renal damage. It suggests that the key pathogenic mechanism involved in the induction and progression of diabetic nephropathy is still remaining active and unmodified by the present therapies. The purpose of this review is to bring together the current information concerning the signalling systems involved in the pathogenesis of diabetic nephropathy.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
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 head0.031
GPT teacher head0.321
Teacher spread0.290 · 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 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

Citations72
Published2009
Admission routes1
Has abstractyes

Explore more

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