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Record W4394580061 · doi:10.1016/j.kisu.2024.01.008

Capacity for the management of kidney failure in the International Society of Nephrology Western Europe region: report from the 2023 ISN Global Kidney Health Atlas (ISN-GKHA)

2024· article· en· W4394580061 on OpenAlexafffund
Maria Pippias, Gaetano Alfano, Dearbhla Kelly, María José Soler, Letizia De Chiara, Timothy O. Olanrewaju, Silvia Arruebo, Aminu K. Bello, Fergus Caskey, Sandrine Damster, Jo‐Ann Donner, Vivekanand Jha, David W. Johnson, Adeera Levin, Charu Malik, Masaomi Nangaku, Ikechi G. Okpechi, Marcello Tonelli, Feng Ye, Rosanna Coppo, Liz Lightstone, Atefeh Amouzegar, Hans‐Joachim Anders, Jyoti Baharani, Debasish Banerjee, Boris Bikbov, Edwina A. Brown, Yeoungjee Cho, Kathleen Claes, Naomi Clyne, Mogamat Razeen Davids, Sara N. Davison, Hassane M. Diongole, Smita Divyaveer, Gavin Dreyer, Jan Dudley, Udeme E. Ekrikpo, Isabelle Éthier, Rhys Evans, Stanley Fan, Winston Wing‐Shing Fung, Maurizio Gallieni, Anukul Ghimire, Ghenette Houston, Htay Htay, Kwaifa Salihu Ibrahim, Georgina Irish, Kailash Jindal, Arif Khwaja, Rowena Lalji, Vassilios Liakopoulos, Valérie A. Luyckx, Hans‐Peter Marti, Piergiorgio Messa, Thomas Müller, Aisha M. Nalado, Brendon L. Neuen, Dorothea Nitsch, Fernando Nolasco, Rainer Oberbauer, Mohamed A. Osman, Αikaterini Papagianni, Анна Петрова, Giorgina Barbara Piccoli, Liam Plant, Giuseppe Remuzzi, Parnian Riaz, Joris J. T. H. Roelofs, Michael A. Rudnicki, Syed Saad, Aminu Muhammad Sakajiki, Johannes B. Scheppach, Emily See, Rukshana Shroff, Marit D. Solbu, Stephen M. Sozio, Giovanni FM Strippoli, Maarten W. Taal, James Tataw Ashu, Sophanny Tiv, Somkanya Tungsanga, Jeroen B. van der Net, Raymond Vanholder, Andrea K. Viecelli, Katie Vinen, Bruno Vogt, Marina Wainstein, Talia Weinstein, David C. Wheeler, Emily K. Yeung, Deenaz Zaidi

Bibliographic record

VenueKidney International Supplements · 2024
Typearticle
Languageen
FieldMedicine
TopicRenal and Vascular Pathologies
Canadian institutionsUniversity of British ColumbiaUniversity of CalgaryUniversity of Alberta
FundersBarts Health NHS TrustSkånes universitetssjukhusHaukeland UniversitetssjukehusUniversity of Cape TownAristotle University of ThessalonikiUniversité de MontréalFaculty of Medicine and Dentistry, University of AlbertaChinese University of Hong KongBrigham and Women's HospitalUniversiteit StellenboschDuke-NUS Medical SchoolKU LeuvenUniversität WienUniversidade Nova de LisboaMedizinische Universität WienPostgraduate Institute of Medical Education and Research, ChandigarhGeorge Institute for Global HealthUniversity College LondonInternational Society of NephrologyUniversity of AlbertaLunds UniversitetIstituto di Ricerche Farmacologiche Mario Negri - IRCCSUniversität ZürichNile UniversityFaculty of Health and Medical Sciences, University of Western AustraliaRoyal Adelaide HospitalSingapore General HospitalMcMaster UniversityUniversity of OttawaUniversitetet i BergenUniversity College Cork
KeywordsKidney diseaseMedicineNephrologyWorkforceDialysisKidney transplantationPeritoneal dialysisHealth careRenal replacement therapyPopulationGovernment (linguistics)Intensive care medicineTransplantationInternal medicineEconomic growthEnvironmental health

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)0.006
metaresearch head score (Gemma)0.012
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.112
Threshold uncertainty score0.222

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.003

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 head0.045
GPT teacher head0.331
Teacher spread0.286 · 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

Citations12
Published2024
Admission routes2
Has abstractno

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Same venueKidney International SupplementsSame topicRenal and Vascular PathologiesFrench-language works237,207