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Record W1967000537 · doi:10.1093/ndt/gfs244

Renal anaemia - CKD 5D

2012· article· en· W1967000537 on OpenAlexaff
Kazuya Takasawa, Chikako Takaeda, Makoto Higuchi, Takao Maeda, Naohisa Tomosugi, Nobufumi Ueda, Yu Sasaki, Masaya Ikezoe, Makato Hagiwara, S. Furuhata, Mamoru Murakami, Yasushi Shimonaka, Shinya Yamazaki, S. Hamahata, Mai Oue, Takayuki Kuragano, M. Furuta, Masatoshi YAHIRO, Aritoshi Kida, Yoichiro Otaki, Yukiko Hasuike, Hiroshi Nonoguchi, T. Nakanishi, Pantelis Sarafidis, Adam Rumjon, Daniel Ackland, Helen MacLaughlin, S. S. Bansal, Iain C. Macdougall, Vincenzo Panichi, Alberto Rosati, E. Malagnino, Robert Giusti, Aldo Casani, G. Betti, P. Conti, G. Bernabini, Chiara Gabrielli, David Caiani, A. Scatena, M. Migliori, Francesco Pizzarelli, E. Mitsopoulos, Μ. Τσιάτσιου, Ilias Minasidis, Varvara Kousoula, E. Intzevidou, Ploumis Passadakis, Vasilios Vargemezis, D. Tsakiris, Simon Lines, A. M. Carter, Emma Dunn, M. J. Wright, Ryuzi Aoyagi, Tetsuji Miura, L. De Paola, Giovanni Lombardi, Giuseppe Coppolino, Luca Lombardi, H Fukumoto, Shoji Kaibe, Masanori Tokuyama, Mana Hiwasa, Takanobu Miyamoto, Haruki Ohue, Andressa Keiko Matsumoto, Ḱazunori Toyoda, Jacques Rottembourg, Cathy Emery, A Lafuma, Jorge Wernli, Lorraine Zakin, L. Mahi, Dagmara Borzych–Dużałka, Yelda Bilginer, Lars Pape, Il Soo Ha, Martin Bak, Annabelle N. Chua, Leslie Rees, Silvia Pesle, F. Cano, Agnieszka Urzykowska, Sevinç Emre, J. Russcasso, Virginia Ramela, Nikoleta Printza, Corey White, Dafina Kuzmanovska, Vlastos Andrea, D. Muller-Wiefel, Bradley A. Warady, F Schaefer, Jae-Seung Chung, Min‐Ki Park, H. L. Kim, Byung Chul Shin, Tetsuya Fujikawa, Tadashi Kuji, Maiko Kakimoto, Kanako Shibata, Hidehisa Satta, M Nishihara, Shinichi Kawata, Naoaki Koguchi, Yoshiyuki Toya, S Umemura, V. David, Guillaume Michel, H. Maxime, L. Paul, Kindt E. Sébastien, Virginie François, Viktoriya Kuntsevich, Yu Dou, Stephan Thijssen, Nathan W. Levin, Peter Kotanko, B. S. Kim, W. D. Park, Hudie Song, H. G. Kim, Y.-O. Kim, Kathryn W. Woodburn, K L Fong, Yoshio Moriya, Yoh‐ichi Tagawa, Fumiyoshi Kanda, Naru Morita, G. London, P Zaoui, A. Covic, Frank Dellanna, David Goldsmith, Loreto Gesualdo, Johannes F.E. Mann, Christian Combe, Miriam C. Turner, M. Meunzberg, Kerry Macdonald, Ivo Abraham, Alain P. Guérin, Mirela Diaconita, Rebecca Apruzzese, Anja Kruse, G. Ouellet, C. Bond, Danny Jensen, S. Wang, Ericka Pham, Jessica Cira Rubin, Mohammed Sika, Robert Niecestro, S. Sloneker, P. J. Strzemienski, Eric Solon, Δ. Σταμόπουλος, Nerantzoula Mpakirtzi, Eirini Grapsa, B. Gogola, Efstathios Manios, Nikolaos Afentakis, J. Ewer

Bibliographic record

VenueNephrology Dialysis Transplantation · 2012
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsBC Children's Hospital
Fundersnot available
KeywordsMedicineKidney diseaseInternal medicineUrologyIntensive care medicine

Abstract

fetched live from OpenAlex

Introduction and Aims: Hepcidin synthesis occurs in response to iron overload, inflammation and inhibition of erythropoiesis in patients with hemodialysis (HD).In this study, we investigated the early response of hepcidin-25 (hep) to administration of short-acting epoetin-beta (epo) and long-acting methoxy polyethylene glycol-epoetin-beta (PEG-epo) and whether these erythropoietin drugs (rHuEPO) make a difference in ferrokinetics of HD patients.Methods: The study included 9 patients with HD but no diabetes mellitus (4 men and 5 women with a mean age of 59 ± 7.0 years and a mean duration of HD of 120 ± 95 months).Serum levels of hep were measured before and 3, 6, 9 and 18 hours after intravenous injection with either epo or PEG-epo.The measurements of hep in response to epo or PEG-epo were performed using the same patients separately at an interval of 2 years.The hep level was measured using a high-throughput LC-MS/MS method.Serum levels of ferritin, haemoglobin (Hb), and CRP were measured at the start of dialysis.Data are expressed as mean ± SD.Statistical analysis was performed using the Mann-Whitney U test or Fisher`s exact probability test.Results: Serum ferritin level was 38.2 ± 50.3ng/mL when epo was given, which did not differ significantly from that (15.3 ± 11.1ng/mL) when PEG-epo was given.The hep level was significantly increased from the basal level of 6.8 ± 9.8ng/mL to 15.9 ± 20.9ng/mL at 6 hours after epo administration, and decreased significantly at 18 hours (4.6 ± 8.7 ng/mL).The hep level was significantly increased from the basal level of 10.9 ± 13.6 to 25.0 ± 29.3ng/mL at 6 hours after PEG-epo administration, and decreased at 18 hours (15.2 ± 18.1 ng/mL).There was no difference in the time-course effects of epo and PEG-epo on serum hep levels.Based on the basal ferritin level, we divided 18 samples into two groups; high ferritin group: 7 samples with serum fer level of > 15.0 ng/mL and lower ferritin group: 11 samples with lower limits of normal.In the lower ferritin group, the hep level was 5.0 ng/mL or less at all 5 measurement time points.However, in the high ferritin group, the hep level was significantly increased from the basal level of 19.8 ± 12.0 to 46.8 ± 19.8 ng/mL at 6 hours after rHuEPO administration.There was no difference in the number of samples taken from the patients receiving PEG-epo between the two groups.The Hb levels did not differ between the low ferritin group (10.6 ± 2.6g/dL) and the high ferritin group (11.2 ± 0.7g/dL).The values for CRP were < 0.1 mg/dl at all measurements.Conclusions: Our data suggest that up-regulation of hepcidin-25 in the early phase of rHuEPO-induced erythropoiesis, which occurs regardless of short-or long-acting agents, is dependent on serum ferritin levels in HD patients.

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)0.000
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.001

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 head0.015
GPT teacher head0.259
Teacher spread0.244 · 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".

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Citations0
Published2012
Admission routes1
Has abstractyes

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