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Record W4313463174 · doi:10.1053/j.ajkd.2022.11.012

Age of Onset and Disease Course in Biopsy-Proven Minimal Change Disease: An Analysis From the Cure Glomerulonephropathy Network

2023· article· en· W4313463174 on OpenAlexaff
Dhruti P. Chen, Margaret Helmuth, Abigail R. Smith, Pietro A. Canetta, Isabelle Ayoub, Krzysztof Mucha, Mahmoud Kallash, Jeffrey B. Kopp, Rasheed Gbadegesin, Brenda W. Gillespie, Larry A. Greenbaum, Rulan S. Parekh, Tracy E. Hunley, C. John Sperati, David T. Selewski, Jason M. Kidd, Aftab S. Chishti, Kimberly J. Reidy, Amy K. Mottl, Debbie S. Gipson, Tarak Srivastava, Katherine Twombley, Wooin Ahn, Gerald B. Appel, Paul S. Appelbaum, Revekka Babayev, Andrew S. Bomback, Brenda Chan, Vivette D. D’Agati, Samitri Dogra, Hilda Fernández, Ali G. Gharavi, William H. Hines, S. Ali Husain, Namrata G. Jain, Krzysztof Kiryluk, Fangming Lin, Maddalena Marasà, Glen S. Markowitz, Hila Milo Rasouly, Sumit Mohan, Nicola Mongera, Jordan G. Nestor, Thomas L. Nickolas, Jai Radhakrishnan, Maya K. Rao, Simone Sanna‐Cherchi, Shayan Shirazian, Michael B. Stokes, Natalie Uy, Anthony M. Valeri, Natalie Vena, Bartosz Foroncewicz, Barbara Moszczuk, Agnieszka Perkowska‐Ptasińska, Gian Marco Ghiggeri, Francesca Lugani, Josephine M. Ambruzs, Helen Liapis, Rossana Baracco, Amrish Jain, Isa Ashoor, Diego Avilés, Sun-Young Ahn, Prasad Devarajan, Elif Erkan, Donna Claes, Hillarey Stone, Sherene Mason, Liliana Gomez-Mendez, Chia-shi Wang, Hong Yin, Yi Cai, Goebel Jens, Julia Steinke, Donald J. Weaver, Jerome C. Lane, Carl H. Cramer, Cindy Pan, Neil J. Paloian, Rajasree Sreedharan, Corinna Bowers, Mary Dreher, John D. Mahan, Samantha Sharpe, William E. Smoyer, Amira Al‐Uzri, Sandra Iragorri, Myda Khalid, Craig W. Belsha, Joseph L. Alge, Michael Braun, Angela C. Gomez, Scott E. Wenderfer, Tetyana L. Vasylyeva, Daniel I. Feig, Gabriel Cara‐Fuentes, Melisha Hannah, Carla Nester, Jon B. Klein, Chryso Katsoufis, Wacharee Seeherunvong, Michelle N. Rheault, Craig S. Wong, Nisha Mathews, John Barcia, Sharon Bartosh, Vikas R. Dharnidharka, Joseph P. Gaut, Louis‐Philippe Laurin, Virginie Royal, Anand Achanti, Milos N. Budisavljevic, Sally Self, Cybele Ghossein, Yonatan Peleg, Shikha Wadhwani, Salem Almaani, Tibor Nádasdy, Samir, Parikh, Brad H. Rovin, Anthony Chang, Huma Fatima, Bruce A. Julian, Jan Novák, Matthew B. Renfrow, Dana V. Rizk, Vimal K. Derebail, Ronald J. Falk, Keisha L. Gibson, Dorey A. Glenn, Susan L. Hogan, Koyal Jain, J. Charles Jennette, Caroline J. Poulton, Manish K. Saha, Agnes B. Fogo, Neil Sanghani, Selvaraj Muthusamy, Jeffrey R. Schelling, Jean Hou, Kevin V. Lemley, Warren Mika, Pierre Russo, Michelle Denburg, Amy J. Kogon, Kevin Meyers, Madhura Pradhan, Raed Bou Matar, John O’Toole, John R. Sedor, Christine B. Sethna, Suzanne Vento, Mohamed G. Atta, Serena M. Bagnasco, Alicia M. Neu, Sharon G. Adler, Tiane Dai, Ram Dukkipati, Fernando C. Fervenza, Sanjeev Sethi, Frederick J. Kaskel, Kaye Brathwaite, Joseph Weisstuch, Ming‐Fang Wu, Olga Zhdanova, Jurgen Heymann, Meryl Waldman, Cheryl A. Winkler, Katherine R. Tuttle, Jill Krissberg, Richard Lafayette, Kamal Fahmeedah, Elizabeth M. Talley, Michelle Hladunewich, Carmen Ávila-Casado, Daniel C. Cattran, Reich Heather, Philip Boll, Yelena Drexler, Alessia Fornoni, Patrick E. Gipson, Jeffrey B. Hodgin, Andrea L. Oliverio, J.J. Hogan, Lawrence B. Holzman, Matthew Palmer, Gaia Coppock, Blaise Abromovitz, Michael Mortiz, Charles E. Alpers, J. Ashley Jefferson, Elizabeth Brown, Kamal Sambandam, Bethany Roehm, Bruce Robinson, Cynthia C. Nast, Laura Barisoni, Matthias Kretzler, Laura Mariani, Lisa M. Guay‐Woodford

Bibliographic record

VenueAmerican Journal of Kidney Diseases · 2023
Typearticle
Languageen
FieldMedicine
TopicRenal Diseases and Glomerulopathies
Canadian institutionsHospital for Sick Children
FundersGenentechApellis PharmaceuticalsNational Institutes of HealthVertex PharmaceuticalsNephcure FoundationNational Institute of Diabetes and Digestive and Kidney DiseasesAlnylam PharmaceuticalsAlexion PharmaceuticalsPfizer
KeywordsMedicineImmunosuppressionRituximabMinimal change diseaseKidney diseaseProportional hazards modelInternal medicineRenal functionNephrologyAge of onsetYoung adultBiopsyPediatricsDiseaseFocal segmental glomerulosclerosisProteinuriaKidney

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.015
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.287
Teacher spread0.272 · 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 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

Citations11
Published2023
Admission routes1
Has abstractno

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