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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)
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
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 distilled prediction
Teacher imitationNot 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.867
Threshold uncertainty score0.999
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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 head0.028
GPT teacher head0.296
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
Study designNot applicable
Domainnot available
GenreCommentary
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