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Record W4407318740 · doi:10.1016/j.xkme.2025.100975

Clinical Decision-Making About Immunosuppressive Treatment in Focal Segmental Glomerulosclerosis

2025· article· en· W4407318740 on OpenAlexaff
Brooke Blazius, Jonathan P. Troost, Jeffrey B. Kopp, Rulan S. Parekh, Brenda W. Gillespie, Isabelle Ayoub, Mahmoud Kallash, Rasheed Gbadegesin, Pietro A. Canetta, Tarak Srivastava, Tracy E. Hunley, Katherine Twombley, Yonatan Peleg, Larry A. Greenbaum, Aftab S. Chishti, Carla Nester, Amy K. Mottl, Susan L. Hogan, Virginie Royal, Vivette D. D’Agati, Kimberly J. Reidy, Krzysztof Mucha, Julia Steinke, Simone Sanna‐Cherchi, David T. Selewski, Dhruti P. Chen, C. John Sperati, Ronald J. Falk, Howard Trachtman, Jason M. Kidd

Bibliographic record

VenueKidney Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicRenal Diseases and Glomerulopathies
Canadian institutionsHôpital Maisonneuve-RosemontInstitute for Clinical Evaluative SciencesSickKids FoundationHospital for Sick ChildrenUniversity Health Network
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesNephcure Foundation
KeywordsFocal segmental glomerulosclerosisClinical decision makingMedicineIntensive care medicineInternal medicineGlomerulonephritisKidney

Abstract

fetched live from OpenAlex

Rationale & Objective Focal segmental glomerulosclerosis (FSGS) is a heterogeneous disorder with a high risk of progression to kidney failure. There are no approved therapies for FSGS, and futility of treatment is poorly defined. The Cure Glomerulonephropathy (CureGN) study offers the opportunity to describe the characteristics of participants who started immunosuppressive therapy (IST), never received IST, or in whom this treatment was discontinued. Study Design An observational cohort. Settings & Participants Participants enrolled in CureGN with FSGS and surveyed nephrologists. Interventions The clinical and laboratory data from participants with FSGS who were enrolled in the CureGN observational cohort were reviewed to define features associated with withholding initial IST or terminating ongoing IST. Nephrologists were surveyed about what factors would influence their decision to prescribe or withdraw IST in patients with FSGS. Outcomes (1) Identify factors associated with IST initiation and discontinuation in individuals with FSGS; and (2) Identify clinical and laboratory features nephrologists consider when they recommend against the use of IST at diagnosis (initiation of care) and during the course of disease. Results Based on quantitative findings from the CureGN cohort and survey responses from practicing nephrologists, a low estimated glomerular filtration rate at presentation, significant glomerulosclerosis, and interstitial fibrosis and tubular atrophy on kidney biopsy make initiation of IST less likely. Limitations Heterogeneous nature of the cohort and an inability to divide the patients into KDIGO subgroups of FSGS. Rationale for decision to stop or defer treatment was not available. More surveys were completed by pediatric providers, and the majority were completed by academic practitioners. Conclusions The factors that impact decisions about IST initiation and discontinuation were consistent among pediatric and internal medicine nephrologists, namely advanced scarring and lower estimated glomerular filtration rate. We suggest that this information should be incorporated into patient management guidelines and clinical trial design. Plain Language Summary Patients with focal segmental glomerulosclerosis (FSGS) are at high risk for progression to kidney failure and there are no approved therapies. This study from the CureGN consortium described clinical situations in which immunosuppressive therapy (IST) was started, not started, or discontinued in participants with FSGS. Furthermore, we surveyed nephrologists to better understand factors that influence the management of patients with FSGS. Participants in the CureGN cohort with a lower estimated glomerular filtration rate and advanced scarring on kidney biopsy were less likely to be started on IST and have this treatment discontinued, which was similar to what surveyed providers did in practice. Understanding the characteristics of these patients may help further develop management guidelines and assist in clinical trial design.

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)0.002
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 score0.408
Threshold uncertainty score0.848

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.019
GPT teacher head0.370
Teacher spread0.351 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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