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Record W4394580095 · doi:10.1016/j.kisu.2024.01.002

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

2024· article· en· W4394580095 on OpenAlexafffund
Elliot Koranteng Tannor, Bianca Davidson, Yannick Mayamba Nlandu, Peace Bagasha, Workagegnehu Hailu, Mogamat Razeen Davids, Hassane M. Diongole, Udeme E. Ekrikpo, Ehab Hafiz, Kwaifa Salihu Ibrahim, Robert Kalyesubula, Aisha M. Nalado, Timothy O. Olanrewaju, Ugochi Chika Onu, Nikhil Pereira-Kamath, Aminu Muhammad Sakajiki, Mohamed Salah, Lloyd Vincent, 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, Gloria Ashuntantang, Fatiu A. Arogundade, Mohammed Abdel Gawad, E. Abderrahim, Ahmed Akl, Eyram Makafui Yoan Yawo Amekoudi, Atefeh Amouzegar, J O Awobusuyi, Omran Bakoush, Elsa R. Chissico, Yeoungjee Cho, Joshua Coker, Brett Cullis, Rumbidzai Dahwa, Rasha Ahmed Darwish, Sara N. Davison, Smita Divyaveer, Isabelle Éthier, Kevin Fagoonee, Aboubacar Sidiki Fofana, Robert Freercks, Winston Wing‐Shing Fung, Pierre Eric Gandzali-Ngabe, Anukul Ghimire, Zaghloul Gouda, Oswald Habyarimana, Htay Htay, Davy Ip Min Wan, Georgina Irish, Wesam Ismail, Abubacarr Jagne, F. Jarraya, Kailash Jindal, Babikir G. Kabllo, Ahmed Y. Kalebi, François F. Kaze Folefack, Dearbhla Kelly, Rowena Lalji, Ben Lomatayo, Sidi Mohamed Mah, Guillaume Zalba Mahamat Abderraman, Mignon McCulloch, Yewondwossen Tadesse Mengistu, Mothusi Walter Moloi, Chisambo Mwaba, Brendon L. Neuen, John Ngigi, Abdou Niang, Joseph Nyandwi, Emad Azzam Odeh, Mohamed A. Osman, Cedric Ouanekpone, Анна Петрова, Eliane M. Ranivoharisoa, Parnian Riaz, Syed Saad, Emily See, Ahmed Sokwala, Adaobi Solarin, Stephen M. Sozio, Tarik Sqalli Houssani, Ernest Sumaili Kiswaya, Weu Mélanie Tia, Sophanny Tiv, Thabang Ts'enoli, Somkanya Tungsanga, Ifeoma Ulasi, Ssentamu John Vanglist, Andrea K. Viecelli, Shoyab Wadee, Marina Wainstein, Nicola Wearne, Emily K. Yeung, Deenaz Zaidi

Bibliographic record

VenueKidney International Supplements · 2024
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsUniversity of British ColumbiaUniversity of CalgaryUniversity of Alberta
FundersFaculty of Medicine and Dentistry, University of AlbertaFaculty of Medicine, Chulalongkorn UniversityGeorge Institute for Global HealthUniversity of Cape TownNelson Mandela UniversityUnited Arab Emirates UniversityUniversité de MontréalChinese University of Hong KongRoyal Adelaide HospitalChulalongkorn UniversityMansoura UniversityCairo UniversitySingapore General HospitalUniversity of New South WalesUniversity of AlbertaFaculty of Health and Medical Sciences, University of Western AustraliaUniversity of OxfordBeni-Suef UniversityPostgraduate Institute of Medical Education and Research, ChandigarhDuke-NUS Medical SchoolUniversity of RwandaFaculty of Medicine and Health, University of SydneyIran University of Medical Sciences
KeywordsKidney diseaseMedicineNephrologyRenal replacement therapyHealth careIntensive care medicinePublic healthKidneyInternal medicineNursingEconomic growth

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)0.014
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 score0.080
Threshold uncertainty score0.160

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0020.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.002

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 head0.028
GPT teacher head0.296
Teacher spread0.268 · 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

Citations18
Published2024
Admission routes2
Has abstractno

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