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Record W1995972457 · doi:10.1093/ndt/gfu148

CKD PATHOPHYSIOLOGY AND CLINICAL STUDIES

2014· article· en· W1995972457 on OpenAlexaff
Ilona Kurnatowska, P. Grzelak, Anna Masajtis‐Zagajewska, Marta Kaczmarska, Cees Vermeer, Katarzyna Maresz, Michał Nowicki, Lalitkumar Patel, Laurence Bernard, Grahame J. Elder, D. Leonardis, Francesca Mallamaci, G. Tripepi, Graziella D’Arrigo, M. Postorino, G. Enia, Graziella Caridi, Francesco Marino, G. Parlongo, Carmine Zoccali, Federica Genovese, Peter Boor, Marios Papasotiriou, D.J. Leeming, M.A. Karsdal, J. Floege, Catherine Delmas‐Frenette, S. Troyanov, Philip Awadalla, Olivier Devuyst, F. Madore, J. M. Jensen, F. H. Mose, A.-E. O. Kulik, J. N. Bech, Robert A. Fenton, E. B. Pedersen, S. Lucisano, A Villari, Filippo Benedetto, Giovanni Pettinato, V. Cernaro, R. Lupica, D. Trimboli, Giuseppe Costantino, M. Buemi, Claudia Carmone, Joris H. Robben, Juliette Hadchouel, Gerard A. Rongen, Jaap Deinum, G. J. Navis, J F M Wetzels, Peter M.T. Deen, Geoffrey A. Block, S. Fishbane, Shay Shemesh, Anu Sharma, M Wolf, Glenn M. Chertow, Marta Gracia, D. Arroyo, Àngels Betriu, José Manuel Valdivielso, Elvira Fernández, V. Cantaluppi, D. Medica, Alessandro Domenico Quercia, Sergio Dellepiane, Min‐Tao Gai, G. Leonardi, C. Guarena, M. Migliori, V. Panichi, Luigi Biancone, G. Camussi, Markus Ketteler, Anjay Rastogi, Bruce Spinowitz, Stuart M. Sprague, Jaco Botha, Viatcheslav Rakov, A. Covic, Yoshio Kaku, S. Ookawara, Hitoshi Miyazawa, Kiyonori Ito, Yoshimichi Ueda, Keiji Hirai, Taro Hoshino, Hirohito Mori, Aoi Nabata, Izumi Yoshida, Kaoru Tabei, M. El-Shahawy, John R. Cotton, Jeffrey Kaupke, Thomas D. Wooldridge, Michael Weiswasser, Wayne Smith, T. Hanowski, Kitty J. Jager, Tammo Lesch, F. Knofel, Heike Kielstein, Emily P. McQuarrie, Patrick B. Mark, E. Marie Freel, Anne Taylor, A. G. Jardine, Chung‐Li Wang, Yupeng Du, Nan Li, Kevin Hess, Anna Savvaidis, Katharina Lysaja, Nada Dimković, Nikolaus Marx, Georg Schlieper, Rannveig Skrunes, K. Kyllesbech Larsen, E. Svarstad, Camilla Tøndel, Bhupinder Singh, Stephen R. Ash, P. T. Lavin, A. Yang, Henrik Rasmussen, Ogo Egbuna, Steven Zeig, Pablo E. Pérgola, Ada Braun, Yonghui Yu, Winnie Sohn, D. Padhi, Mariano Rodríguez, Mark Chen, Guillermo Delgado, Marcus E. Kleber, Tanja B. Grammer, Bernhard Kraemer, W. Maerz, H. Scharnagl, M. Ichii, E. Ishimura, Hideaki Shima, Y. Ohno, Akihiro Tsuda, Sakura Nakatani, Akinobu Ochi, Kensaku Mori, Minoru Inaba, V. Filiopoulos, Nicholas Manolios, Dimitrios Hadjiyannakos, D. Arvanitis, I. Karatzas, Eric Chong, Laura Cosmai, Camillo Porta, Marina Foramitti, Cristina Masini, Roberto Sabbatini, F. Malberti, Usama Elewa, D. Nastou, Benjamín Fernández‐Gutiérrez, Jesús Egido, Alberto Ortíz, Shigeko Hara, Kazuhide Tanaka, A. Kushiyama, Naoki Sawa, Junichi Hoshino, Yoshifumi Ubara, Kenmei Takaichi, Antoine Bouquegneau, Emmanuelle Vidal‐Petiot, F. Vrtovsnik, Étienne Cavalier, J.M. Krzesinski, M. Flamant, Pierre Delanaye, E. Prus-Wojtowicz, Jacek C. Szepietowski, Dominic S. Raj, Richard Amdur, Joji Yamamoto, Masayoshi Mori, N. Sugiyama, Daijo Inaguma, Doaa Mohammed Youssef, A. A. Alshal, Rabab Mohamed Elbehidy, Davide Bolignano, Samuel Palmer, Sankar D. Navaneethan, Giovanni FM Strippoli, Y. N. Kim, K. Park, Sangeon Gwoo, H. S. Shin, Y. S. Jung, Hark Rım, Hyun Yul Rhew, Hikmet Tekçe, Buket Kın Tekçe, Gülali Aktaş, F. Schiepe, Y. Draz, M. I. Yilmaz, D. Siriopol, Mukaddes Kılıç Sağlam, Y. G. Kurt, Hilmi Umut Ünal, Handan Çetinkaya, S. Sari, Irina Mititiuc, M. Kanbay, Magdalena Okarska‐Napierała, Helena Ziółkowska, Radosław Pietrzak, P. Skrzypczyk, K. Jankowska, Bożena Werner, M. Roszkowska-Blaim, Gianluca Trifirò, G. Lorenzano, R. Krause, Iris Fuhrmann, Stefan Degenhardt, A Daul, Marion Sallée, Laetitia Dou, Claire Cérini, Stéphane Poitevin, B. Gondouin, Noémie Jourde‐Chiche, Philippe Brunet, Françoise Dignat‐George, Stéphane Burtey, C. Massimetti, Paola Achilli, M. P. P. Madonna, M. T. T. Muratore, G. D. D. Fabbri, F. Brescia, S. Feriozzi, H. U. Unal, Mina Karaman, mukaddes lmaz, M. Sugahara, Izumi Sugimoto, Motoi Aoe, Masatomo Chikamori, Tomoko Honda, Rika Miura, A Tsuchiya, Kenta Hamada, Kenichi Ishizawa, K. Saito, Yoshiki Sakurai, Naobumi Mise, Thiane Gama-Axelsson, Borja Quiroga, J. Axelsson, Bengt Lindholm, Abdul Rashid Qureshi, Juan Jesús Carrero, Ülle Pechter, Mait Raag, Mai Ots-Rosenberg, Johan Vande Walle, Larry A. Greenbaum, Camille L. Bedrosian, Masahito Ogawa, J. F. Kincaid, Adail Orrith Liborio Neto, T. T. Leite, Fernanda Macedo de Oliveira Neves, Candice Bezerra Torres de Melo, Renata de Almeida Leitão, Luı́s Cunha, Rubens Costa Filho, Neil Sheerin, Chantal Loirat, Richard R. Furman, David Cohen, Yahsou Delmas, Claire Legendre, Kiyoto Koibuchi, Toshiyuki Aoki, M Miyagi, A. Aikawa, P. Pozna Ski, Michał Sojka, Mariusz Kusztal, M. Klinger, Fádi Fakhouri, Zbigniew Heleniak, Ewa Aleksandrowicz, E. Wierblewska, Katarzyna Kunicka, Leszek Bieniaszewski, Zbigniew Zdrojewski, B. Rutkowski

Bibliographic record

VenueNephrology Dialysis Transplantation · 2014
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare cost, quality, practices
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineUniversité de MontréalHôpital du Sacré-Cœur de Montréal
Fundersİstanbul Medeniyet Üniversitesi
KeywordsMedicinePathophysiologyIntensive care medicineKidney diseaseInternal medicine

Abstract

fetched live from OpenAlex

Introduction and Aims: Patients with chronic kidney disaeses (CKD) suffer from accelered vascular calcification (VC) and vitamin K defficiency.The vitamin K-dependent matrix Gla protein (MGP) is one of the most powerful inhibitors of VC.This prospective randomized intervention study assessed the impact of vitamin K2 supplementation on levels of the inactive form of MGP desphospho-uncarboxylated MGP (dp-ucMGP) in non-dialyzed 3 -5 stages CKD patients.Methods: Common carotid intima media thickness (CCA-IMT), coronary artery calcification score (CACS), serum mineral parameters, matrix Gla protein (MGP), desphospho-uncarboxylated MGP (dp-ucMGP), osteocalcin (OC) were measured at baseline and after 270±12 days of supplementation of 90 μg of vitamin K2 (menaquinone-7, MK-7) with 10 μg cholecalciferol (K+D group) or 10 μg vitamin D (group D) in 42 non-dialyzed CKD patients.Results: During the treatment period no significant changes of eGFR in both groups were observed.The significantly lower increase of CCA-IMT during the intervention period was noticed in group K+D: from 0.95±0.2mm at the beginning to 1.01±0.3mm, p=0.003 at the end, and in D group: from 1.02±0.2mm to 1.16±0.3mm, p=0.003.The change of CACS was numerically less in vitamin K+D treated patients than in D group (ΔCACS: 63.1±108.5 A.u. vs 74.4±127.1,p=0.7; 16% and 15.8%, p=0.91, respectively).After nine months of MK-7 supplementation a significant decrease of dp-ucMGP was found 1077.1±507.7 pmol/L vs 961.5±506.7,p=0.02.This effect was not observed in D group: 793.9±400.3pmol/L vs 820.7±565.2,p=0.7 respectively.The serum level of dp-ucMGP positively correlated with serum creatinine r=0.4,p=0,02, negatively with eGFR r=-0,5, p=0.003 at the beginning and r=0.4,p=0.03; r=-0.6,p=0.0001, respectively at the end of the study in both group.The positive correlation of dp-ucMGP and PTH level was noticed in all examined patients at the beginning and at the end of the study: r=0.4,p=0.04; r=0.4,p=0.01 respectively.Similar correlations were noticed between dp-ucMGP and OC: r=0.47, p=0.005; r=0.5; p=0.004 respectively.Any correlation between dp-ucMGP and estimated vascular changes was not find.Conclusions: The main determinant of dp-ucMGP level is the kidney function.Circulating level of dp-ucMGP may be a marker of vascular vitamin K status in CKD patients.The mechanisms by which vitamin K2 may exert the protective effect on progression of vessels damage are still uncertain, but may be connected with the impact of MK-7 on calcification's regulators, including the impact on the MGP carboxylation process.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.002

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 head0.421
GPT teacher head0.547
Teacher spread0.126 · 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 designNot applicable
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".

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Citations0
Published2014
Admission routes1
Has abstractyes

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