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Relationship of Estimated GFR and Albuminuria to Concurrent Laboratory Abnormalities: An Individual Participant Data Meta-analysis in a Global Consortium
Lesley A. Inker, Morgan E. Grams, Andrew S. Levey, Josef Coresh, Massimo Círillo, John Collins, Ron T. Gansevoort, Orlando M. Gutiérrez, Takayuki Hamano, Gunnar H. Heine, Shizukiyo Ishikawa, Sun Ha Jee, Florian Kronenberg, Martin Landray, Katsuyuki Miura, Girish N. Nadkarni, Carmen A. Peralta, Dietrich Rothenbacher, Elke Schäeffner, Sanaz Sedaghat, Michael G. Shlipak, Luxia Zhang, Arjan D. van Zuilen, Stein Hallan, Csaba P. Kövesdy, Mark Woodward, Adeera Levin, Brad C. Astor, Larry Appel, Tom Greene, Teresa C. Chen, John Chalmers, Hisatomi Arima, Vlado Perkovic, Hiroshi Yatsuya, Koji Tamakoshi, Yuanying Li, Yoshihisa Hirakawa, Kunihiro Matsushita, Yingying Sang, Kevan R. Polkinghorne, Steven J. Chadban, Robert C. Atkins, Ognjenka Djurdjev, Lisheng Liu, Ming‐Hui Zhao, Fang Wang, Jinwei Wang, Natalie Ebert, Peter Martus, Mila Tang, Insa E. Emrich, Sarah Seiler, Adam M. Zawada, Joseph V. Nally, Sankar D. Navaneethan, Jesse D. Schold, Mark J. Sarnak, Ronit Katz, Jade S. Hiramoto, Hiroyasu Iso, Kazumasa Yamagishi, Mitsumasa Umesawa, Isao Muraki, Masafumi Fukagawa, Shoichi Maruyama, Takeshi Hasegawa, Naohiko Fujii, David C. Wheeler, John Townend, Hermann Brenner, Ben Schöttker, Kai‐Uwe Saum, Caroline S. Fox, Shih‐Jen Hwang, Anna Köttgen, Markus P. Schneider, Kai‐Uwe Eckardt, Jamie Green, H. Lester Kirchner, Alex R. Chang, Kevin Ho, Sadayoshi Ito, Mariko Miyazaki, Masaaki Nakayama, Gen Yamada, Fujiko Irie, Toshimi Sairenchi, Yuichiro Yano, Kazuhiko Kotani, Takeshi Nakamura, Heejin Kimm, Yejin Mok, Gabriel Chodick, Varda Shalev, Jack F.M. Wetzels, Peter J. Blankestijn, Jan A.J.G. van den Brand, Barbara Kollerits, Eberhard Ritz, Dorothea Nitsch, Paul Roderick, Astrid Fletcher, Erwin Böttinger, Stephen B. Ellis, Rajiv Nadukuru, Hirotsugu Ueshima, Akira Okayama, Sachiko Tanaka, Tomonori Okamura, Sachiko Tanaka, Aya Kadota, Timothy Kenealy, C. Raina Elley, Paul Drury, Takayoshi Ohkubo, Kei Asayama, Hirohito Metoki, Masahiro Kikuya, Robert G. Nelson, William C. Knowler, Stephan J. L. Bakker, Eelco Hak, Hiddo J.L. Heerspink, Nigel J. Brunskill, Rupert Major, David Shepherd, James Medcalf, Simerjot K Jassal, Jaclyn Bergstrom, Joachim H. Ix, Elizabeth Barrett‐Connor, Kamyar Kalantar‐Zadeh, Keiichi Sumida, Paul Muntner, David G. Warnock, William McClellan, Dick de Zeeuw, Barry E. Brenner, M. Arfan Ikram, Ewout J. Hoorn, Abbas Dehghan, Juan Jesús Carrero, Alessandro Gasparini, Björn Wettermark, Carl‐Gustaf Elinder, Tien Yin Wong, Charumathi Sabanayagam, Ching‐Yu Cheng, Frank L.J. Visseren, Marie Evans, Mårten Segelmark, Maria Stendahl, Staffan Schön, Navdeep Tangri, Maneesh Sud, David Naimark, Chwen-Keng Tsao, Min-Kugng Tsai, Chien‐Hua Chen, Tsuneo Konta, Atsushi Hirayama, Kazunobu Ichikawa, Lars Lannfelt, Anders Larsson, Johan Ärnlöv, Henk Bilo, Gijs W.D. Landman, Kornelis J. J. van Hateren, Nanne Kleefstra, Josef Coresh Chair, Shoshana H. Ballew, Jingsha Chen, Lucia Kwak, Aditya Surapaneni
Bibliographic record
VenueAmerican Journal of Kidney Diseases · 2018
Typereview
Languageen
FieldMedicine
TopicChronic Kidney Disease and Diabetes
Canadian institutionsUniversity of British ColumbiaBC Cancer Agency
FundersNational Center for Advancing Translational SciencesNational Heart, Lung, and Blood InstituteNational Institute on AgingRelypsaNational Center for Research ResourcesNovartis PharmaNational Institutes of HealthKidney Research UKNational Institute of Neurological Disorders and StrokeNational Institute for Health and Care ResearchNational Health and Medical Research CouncilFresenius Medical Care North AmericaAmerican Heart AssociationUniversity of WashingtonMedical Research CouncilSanofiEuropean CommissionNational Institute of Diabetes and Digestive and Kidney DiseasesAmgen
KeywordsMedicineAlbuminuriaMeta-analysisRenal functionInternal medicineUrology
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 machine prediction
Teacher imitationNot 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)0.011
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.011
Threshold uncertainty score0.056
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.026 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.011 | 0.042 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 head0.266
GPT teacher head0.451
Teacher spread0.185 · 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 source (direct Gemma or distilled Codex), not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview
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
Citations94
Published2018
Admission routes1
Has abstractno