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Comparative Efficacy of Nonsteroid Immunosuppressive Medications in Childhood Nephrotic Syndrome

2025· article· en· W4406866288 on OpenAlexaffabout
Cal Robinson, Nowrin Aman, Tonny Banh, Josefina Brooke, Rahul Chanchlani, Brian H. Cuthbertson, Vaneet Dhillon, Eddy Fan, Valérie S. Langlois, Leo Levin, Christoph Licht, Ashlene McKay, Damien Noone, Rachel Pearl, Seetha Radhakrishnan, Véronique Rowley, Chia Wei Teoh, Jovanka Vasilevska‐Ristovska, Anna Heath, Rulan S. Parekh

Bibliographic record

VenueJAMA Pediatrics · 2025
Typearticle
Languageen
FieldMedicine
TopicRenal Diseases and Glomerulopathies
Canadian institutionsPublic Health OntarioWilliam Osler Health SystemUniversity of TorontoMontreal Children's HospitalHealth Sciences CentreSunnybrook Health Science CentreMcMaster UniversityMcMaster Children's HospitalWomen's College HospitalImpactInstitute for Clinical Evaluative SciencesSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsMedicineCalcineurinNephrotic syndromeCyclophosphamideTacrolimusInternal medicineImmunosuppressionKidney diseaseProspective cohort studyAdverse effectPropensity score matchingPediatricsTransplantationChemotherapy

Abstract

fetched live from OpenAlex

Importance: Cyclophosphamide and calcineurin inhibitors are the most used nonsteroid immunosuppressive medications globally for children with various chronic inflammatory conditions. Their comparative effectiveness remains uncertain, leading to worldwide practice variation. Nephrotic syndrome is the most common kidney disease managed by pediatricians globally and suboptimal treatment is associated with high morbidity. Objective: To evaluate the comparative effectiveness of cyclophosphamide vs calcineurin inhibitors (tacrolimus or cyclosporine) for childhood nephrotic syndrome relapse prevention. Design, Setting, and Participants: Using target trial emulation methods, the study team emulated a pragmatic, open-label clinical trial using available data from the Insight Into Nephrotic Syndrome: Investigating Genes, Health, and Therapeutics (INSIGHT) study. INSIGHT is a multicenter, prospective cohort study in the Greater Toronto Area, Canada. Participants included children (1 to 18 years) with steroid-sensitive nephrotic syndrome diagnosed between 1996 and 2019 from the Greater Toronto Area, who initiated cyclophosphamide or a calcineurin inhibitor treatment. Data analysis was performed in 2024. Exposures: Incident cyclophosphamide or calcineurin inhibitor treatment. Randomization was emulated by overlap weighting of propensity scores for treatment assignment. Main Outcomes: The primary outcome was time to relapse, analyzed by weighted Kaplan-Meier and Cox proportional hazards models. Secondary outcomes included relapse rates, subsequent immunosuppression, kidney function, hypertension, adverse events, and quality of life. Results: Of 578 children (median age at diagnosis, 3.7 [IQR, 2.8-6.0] years; 371 male [64%] and 207 female [36%]), 252 initiated cyclophosphamide, 131 initiated calcineurin inhibitors, and 87 sequentially initiated both medications. Baseline characteristics were well balanced after propensity score weighting. During median 5.5-year (quarter 1 to quarter 3, 2.5-9.2) follow-up, there was no significant difference in time to relapse between calcineurin inhibitor vs cyclophosphamide treatment (hazard ratio [HR], 1.25; 95% CI, 0.84-1.87). Relapses were more common after calcineurin inhibitor treatment than cyclophosphamide (85% vs 73%) in the weighted cohorts, but not statistically significant. There were also no significant differences in subsequent relapse rates, nonsteroid immunosuppression use, or kidney function between medications. Calcineurin inhibitor treatment was associated with more hospitalizations (HR, 1.83; 95% CI, 1.14-2.92) and intravenous albumin use (HR, 2.81; 95% CI, 1.65-4.81). Conclusions and Relevance: In this study, there was no evidence of difference in time to relapse after cyclophosphamide and calcineurin inhibitor treatment in children with nephrotic syndrome. Cyclophosphamide treatment is shorter in duration and more accessible globally than calcineurin inhibitors.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score0.469

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.009
GPT teacher head0.283
Teacher spread0.275 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations7
Published2025
Admission routes2
Has abstractyes

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