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Record W4240625380 · doi:10.1093/ndt/21.suppl_4.iv275

Transplantation clinical 1

2006· article· en· W4240625380 on OpenAlexaff
Ali Lahresh, M Habas, Katrin Ivens, B. Grabensee, Ružica Šmalcelj, Vesna Kuŝec, Petar Kes, Helen Pilmore, Merv Merrilees, Brent Beaumont, Maha Yehia, Philip James Matheson, Eugenie Van Den Ham, Jeroen P. Kooman, Annemie M.W.J. Schols, Karel M.L. Leunissen, Johannes Van, Mauricio Monroy‐Cuadros, Anastasio Salazar, Serdar Yılmaz, Acar Tüzüner, Kevin McLaughlin, Houman Mahallati, C. Romano, Teresa Trottman, Marcin Adamczak, Anna Błach, Aureliusz Kolonko, Magdalena Szotowska, Jerzy Chudek, Edward Franek, Tomasz Stompór, Katarzyna Janda, Marcin Krzanowski, Beata Kusnierz, J Naskalski, Przemysław Miarka, Władysław Sułowicz, Mohammad Aghaeishahsavari, Masood Noroozianavval, Peghah Veisi, Amir Ghorbanihaghjo, Nadereh Rashtchizadeh, Cristina Costa, F Giacchino, Giovanni Antonio Touscoz, Chiara Merlino, Massimiliano Bergallo, Giuseppe Segoloni, Franco Bonello, P Belardi, Rossana Cavallo, Raj Kumar Sharma, Sanjay Bansal, Amit Gupta, Sanjeev Gulati, Alok Kumar, Narayan Nephrology, Sanjay Gandhi, Leszek Domański, Andrzej Pawlik, Krzysztof Safranow, Jacek Różański, Marek Myślak, Kazimierz Ciechanowski, Marek Ostrowski, Tadeusz Sulikowski, Marek Kamiński, Jerzy Sieńko, Maciej Romanowski

Bibliographic record

VenueNephrology Dialysis Transplantation · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism and Genetic Disorders
Canadian institutionsFoothills Medical Centre
Fundersnot available
KeywordsTransplantationMedicineInternal medicine

Abstract

fetched live from OpenAlex

Introduction and Aims: Kidney transplantation is to relive patients of the burden of dialysis and to allow returning to productive life.However obtaining organs remains the major problem all over the world.This had led to development of new alternatives like; commercial transplantation in some countries, although it had been considered unethical, it has a high complications rate as well.The aim of the study was to compare the long term course and outcome of patients with commercial transplantations and living related kidney transplantation in two different centres.Methods: A 368 kidney transplanted patients were examined retrospectively and classified into; Group I: 138 patients had living kidney transplantation at Uni-klinik Düsseldorf in Germany.Group II: 230 patients had commercial transplantation in some countries and followed up at Zahra kidney centre in Libya.follow up data regarding medical, surgical complications, patient and graft survival at one, five and ten years were reported.Results: We compared group II group I, during the same period of time.The result showed; Acute rejection episode (14.8%) in (group II) and (7.2%) in (group I) (p<0.038),Chronic rejection was equal in both groups, 12.3% had resumed dialysis in the first two years post operatively in (group II) compared group I (2.8%) (P<0.000).Post transplant hypertension among group II (66.5%) compared with group I (9.4%) (p=0.001) and post transplant diabetes, (0.7% and 2.9%) in group I and group II, respectively (P=0.001).There were more infectious complications like hepatitis C and B, CMV, herpes zoster and Tuberculosis in group II (25.9% vs. 5%), Surgical complications like graft artery stenosis in living related donor transplantation (8.9 vs. 1%), Kaposi sarcoma in (in (group II) 1.7% vs. 0).Patient survival rates were different in the five and ten years (87.8 and 84%, respectively for the group II and 94.2 and 94.2%, respectively for group I (P =0.0001), 10-year graft survival was (71.7%) for group I and (63.9%) for group II.(P=0.002).Death in the (group I) was (6%).The main causes of death were; cardiovascular complications 2(28.5%) and graft failure 2(28.5%).While in group II; was (16%), the commonest causes of death; infection (30%), cardiovascular (24%), and graft failure 9 (24%).Conclusions: The Outcomes of commercial transplantation are inferior to Living related transplantation, because it carries a high rate of complications like; infections which are the major causes of morbidity and mortality and despite that the patient survival rate is comparable, graft survival is worse than conventional living related transplantations at the long term follow up.

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)0.002
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.218
Threshold uncertainty score0.729

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.2180.087

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 head0.009
GPT teacher head0.265
Teacher spread0.256 · 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
Published2006
Admission routes1
Has abstractyes

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