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Record W3098699997 · doi:10.1177/2054358120970713

Management of Canadian Pediatric Patients With Glomerular Diseases During the COVID-19 Pandemic: Recommendations From the Canadian Association of Pediatric Nephrologists COVID-19 Rapid Response Team

2020· article· en· W3098699997 on OpenAlexaffabout
Cal Robinson, Michelle Ruhl, Amrit Kirpalani, Abdullah Alabbas, Damien Noone, Chia Wei Teoh, Valérie S. Langlois, Véronique Phan, Mathieu Lemaire, Rahul Chanchlani, Sarah Moran, Sean Barbour, Christine Dipchand, Jocelyn S. Garland, Michelle Hladunewich, Arenn Jauhal, Joanne Kappel, Adeera Levin, Sanjay Pandeya, Heather N. Reich, Susan J. Thanabalasingam, Dorothy Thomas, C. Jeffrey, Christine A. White

Bibliographic record

VenueCanadian Journal of Kidney Health and Disease · 2020
Typearticle
Languageen
FieldMedicine
TopicRenal Diseases and Glomerulopathies
Canadian institutionsMcMaster UniversityWestern UniversityUniversité de MontréalUniversity of AlbertaUniversity of SaskatchewanHospital for Sick Children
Fundersnot available
KeywordsMedicineNephrologyPandemicKidney diseaseIntensive care medicineHealth careGuidelineDiseaseContext (archaeology)Family medicineInternal medicineCoronavirus disease 2019 (COVID-19)Infectious disease (medical specialty)Pathology

Abstract

fetched live from OpenAlex

PURPOSE: The goal of these recommendations is to provide guidance on the optimal care of children with glomerular diseases during the COVID-19 pandemic. Patients with glomerular diseases are known to be more susceptible to infection. Risk factors include decreased vaccine uptake, urinary loss of immunoglobulins, and treatment with immunosuppressive medications. The Canadian Society of Nephrology (CSN) recently published guidelines on the care of adult glomerulonephritis patients. This guideline aims to expand and adapt those recommendations for programs caring for children with glomerular diseases. SOURCES OF INFORMATION: , as the foundation for our guidelines. We reviewed documents published by nephrology and non-nephrology societies and health care agencies focused on kidney disease and immunocompromised populations. Finally, we conducted a formal literature review of publications relevant to pediatric and adult glomerular disease, chronic kidney disease, hypertension, and immunosuppression in the context of the COVID-19 pandemic. METHODS: The leadership of the Canadian Association of Pediatric Nephrologists (CAPN), which is affiliated with the CSN, identified a team of clinicians and researchers with expertise in pediatric glomerular diseases. The aim was to adapt Canadian adult glomerulonephritis guidelines to make them applicable to children and discuss pediatric-specific considerations. The updated guidelines were peer-reviewed by senior clinicians with expertise in the care of childhood glomerular diseases. KEY FINDINGS: We identified a number of key areas of glomerular disease care likely to be affected by the COVID-19 pandemic, including (1) clinic visit scheduling, (2) visit types, (3) provision of multidisciplinary care, (4) blood work and imaging, (5) home monitoring, (6) immunosuppression, (7) other medications, (8) immunizations, (9) management of children with suspected COVID-19, (10) renal biopsy, (11) patient education and support, and (12) school and child care. LIMITATIONS: There are minimal data regarding the characteristics and outcomes of COVID-19 in adult or pediatric glomerular disease patients, as well as the efficacy of strategies to prevent infection transmission within these populations. Therefore, the majority of these recommendations are based on expert opinion and consensus guidance. To expedite the publication of these guidelines, an internal peer-review process was conducted, which may not have been as rigorous as formal journal peer-review. IMPLICATIONS: These guidelines are intended to promote optimal care delivery for children with existing or newly diagnosed glomerular diseases during the COVID-19 pandemic. The implications of modified care delivery, altered immunosuppression strategies, and limited access to existing resources remain uncertain.

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)0.009
metaresearch head score (Gemma)0.042
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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.145
Threshold uncertainty score0.291

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.042
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0050.005
Science and technology studies0.0050.002
Scholarly communication0.0040.003
Open science0.0040.003
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0050.001

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 head0.026
GPT teacher head0.279
Teacher spread0.253 · 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
GenreEditorial

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

Citations5
Published2020
Admission routes2
Has abstractyes

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