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Record W7115592136 · doi:10.5281/zenodo.17943553

THE EFFICACY OF TOLVAPTAN IN SLOWING KIDNEY FUNCTION DECLINE IN ADULTS WITH AUTOSOMAL DOMINANT POLYCYSTIC KIDNEY DISEASE: A META-ANALYSIS OF RANDOMIZED CONTROLLED TRIALS

2025· article· W7115592136 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Language
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and Kidney Cyst Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsTolvaptanAutosomal dominant polycystic kidney diseasePlaceboRenal functionRandomized controlled trialMeta-analysisAdverse effect

Abstract

fetched live from OpenAlex

THE EFFICACY OF TOLVAPTAN IN SLOWING KIDNEY FUNCTION DECLINE IN ADULTS WITH AUTOSOMAL DOMINANT POLYCYSTIC KIDNEY DISEASE: A META-ANALYSIS OF RANDOMIZED CONTROLLED TRIALS Dr. Shehneela Dar, MD; Pawel Kostyrko, MD; Shanthan Vinala, MDDepartment of Stroke and Neurology, St Michael’s Hospital, Toronto, CanadaCorresponding Author: Shehneela.dar@unityhealth.to DOI: 10.5281/zenodo.17943553 ORCID ID: https://orcid.org/0009-0004-8320-649X Google Scholar ID: https://scholar.google.ca/citations?user=8K0XYrgAAAAJ&hl=en Abstract: Autosomal dominant polycystic kidney disease (ADPKD) is a common inherited disorder leading to progressive renal failure. Tolvaptan, a vasopressin V2 receptor antagonist, targets underlying cyst pathophysiology. This meta-analysis synthesizes evidence from randomized controlled trials (RCTs) to determine the effect of tolvaptan on the annual rate of estimated glomerular filtration rate (eGFR) decline in adults with ADPKD. A systematic search of PubMed, Embase, and Cochrane Library databases was conducted up to May 2024 for RCTs comparing tolvaptan to placebo in adults with ADPKD, reporting change in eGFR over ≥12 months. Data on study characteristics, patient demographics, and outcomes were extracted independently. A random-effects model was used to calculate the pooled mean difference (MD) in annual eGFR decline with 95% confidence intervals (CI). Heterogeneity was assessed using the I² statistic. Seven RCTs involving 3,412 participants were included. The mean age ranged from 37 to 54 years, and baseline eGFR from 44 to 81 mL/min/1.73 m². Tolvaptan dosing varied from 60-120 mg/day over 12-36 months. Tolvaptan treatment was associated with a significantly slower annual eGFR decline compared to placebo (MD: +1.90 mL/min/1.73 m²/year; 95% CI: 1.43 to 2.38; p < 0.001). Heterogeneity was moderate (I² = 32%, p = 0.18). Common adverse effects were aquaretic (polyuria, thirst), while significant liver enzyme elevation was rare (<1%). Tolvaptan significantly attenuates the decline of kidney function in adults with ADPKD with an acceptable safety profile, supporting its role as a disease-modifying therapy. Long-term studies assessing progression to end-stage renal disease are warranted. Keywords: Polycystic Kidney Disease, ADPKD, Tolvaptan, Kidney Function, eGFR, Meta-analysis, Randomized Controlled Trials, Renal Decline

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)0.019
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.036
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0180.057
Bibliometrics0.0040.005
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.021
GPT teacher head0.271
Teacher spread0.250 · 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 designMeta-analysis
Domainnot available
GenreEmpirical

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

Citations0
Published2025
Admission routes1
Has abstractyes

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