MétaCan
Menu
Cohort builder

4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Nephrology Dialysis Transplantation
Topic
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,236 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,236 works in the cohort · of 4,299,418page 10 of 25

Labels cover 1 of 1,236 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 1,236 of 1,236 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

afffundaboutunlabeled
Estradiol and mortality in women with end-stage kidney disease
Sharanya Ramesh, Matthew T. James, Jayna Holroyd‐Leduc, Stephen B. Wilton, Ellen W. Seely, Marcello Tonelli +2 more
2020· article· en· Nephrology Dialysis Transplantation· Medicine
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Clinical trials in minimal change disease
Pietro Ravani, Enrica Bertelli, Simardeep Gill, Gian Marco Ghiggeri
2017· review· en· Nephrology Dialysis Transplantation· Medicine
machine prediction:candidate · noneconsensus · none
14
citations
afffundunlabeled
A global assessment of kidney care workforce
Ikechi G. Okpechi, Sri Lekha Tummalapalli, Mogamat‐Yazied Chothia, Stephen M. Sozio, Somkanya Tungsanga, Fergus Caskey +13 more
2024· article· en· Nephrology Dialysis Transplantation· Medicine
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Effect of peritoneal dialysis on renal morphology and function
Andrzej Bręborowicz, Krzysztof Pawlaczyk, Alicja Połubińska, Krystyna Górna, Anders Wieslander, Ola Carlsson +2 more
2006· article· en· Nephrology Dialysis Transplantation· Medicine
machine prediction:candidate · noneconsensus · none
14
citations
afffundunlabeled
Global access and quality of conservative kidney management
Barnaby Hole, Nicola Wearne, Silvia Arruebo, Fergus Caskey, Sandrine Damster, Jo‐Ann Donner +10 more
2024· article· en· Nephrology Dialysis Transplantation· Medicine
machine prediction:candidate · noneconsensus · none
13
citations
afffundunlabeled
Global kidney health priorities—perspectives from the ISN-GKHA
Ikechi G. Okpechi, Valérie A. Luyckx, Somkanya Tungsanga, Anukul Ghimire, Vivekanand Jha, David W. Johnson +1 more
2024· review· en· Nephrology Dialysis Transplantation· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
13
citations

How this was built: Screen · Findings · About