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Record W2041006323 · doi:10.1159/000189326

Effect of Cyclosporin Weaning on Glomerular Filtration Rate in Renal Transplantation

2008· article· en· W2041006323 on OpenAlexaff
Maribel Salas, Rolf Loertscher, J. Jaime

Bibliographic record

Venue˜The œNephron journals/Nephron journals · 2008
Typearticle
Languageen
FieldMedicine
TopicRenal Transplantation Outcomes and Treatments
Canadian institutionsMcGill UniversityRoyal Victoria Hospital
Fundersnot available
KeywordsMedicineRenal functionCreatinineTransplantationUrologyWeaningDiscontinuationPrednisoneKidney transplantationInternal medicineSurgery

Abstract

fetched live from OpenAlex

The objective of this study was to determine the effect of weaning cyclosporin on glomerular filtration rate in 55 renal transplant patients from the Renal Transplant Unit at the Royal Victoria Hospital. Men or women, older than 20 years of age, who received cadaveric or living-related renal transplant and who were treated with the complete cyclosporin protocol, were included. Weaning of cyclosporin was started 15 days after the prednisone dose was reduced to 15 mg/day and this weaning process was completed at day 105 posttransplant. The daily cyclosporin dose was decreased by 25 mg once every 2 weeks, and completely withdrawn after treatment when 50 mg/day was tolerated for 2 weeks. The duration of the weaning process varied because of fixed dose reduction. Renal graft function was assessed by plasma creatinine concentrations. We used the time point of cyclosporin discontinuation as time zero. Serum creatinine decreased over the time from 150 +/- 61 mmol/l at time zero to 100 +/- 18 mmol/l in the last determination, while GFR had a significant increment from 66 +/- 18 to 77 +/- 20. A total of 4 rejection episodes were observed 6 months after cyclosporin discontinuation. There were no graft failures and deaths. To determine predictors of improvement, we carried out multiple regression analysis and we found that prophylactic antilymphocyte globulin and the onset of graft function after transplantation were predictors.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.458
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.314
Teacher spread0.289 · 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 teacher head, not a consensus.

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".

Quick stats

Citations2
Published2008
Admission routes1
Has abstractyes

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