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TWO-HOUR POST-DOSE CYCLOSPORINE LEVELS IN RENAL TRANSPLANTATION IN ARGENTINA: A COST-EFFECTIVE STRATEGY FOR REDUCING ACUTE REJECTION

2004· article· en· W2024555825 on OpenAlexaffabout
Robert Balshaw, Gerardo Machnicki, César Agost Carreño, L. Toselli, Alejandra Otero, Paul Keown

Bibliographic record

VenueTransplantation · 2004
Typearticle
Languageen
FieldMedicine
TopicRenal Transplantation Outcomes and Treatments
Canadian institutionsSimon Fraser UniversityUniversity of British Columbia
Fundersnot available
KeywordsMedicineTransplantationClinical trialAmbulatoryAzathioprineRandomized controlled trialKidney transplantationIncidence (geometry)Intensive care medicineEmergency medicineInternal medicineDisease

Abstract

fetched live from OpenAlex

P881 Aims: Monitoring of cyclosporine (microemulsion CsA) at 2 hours post-dose levels (C2) is an accurate measure of CsA absorption efficiency and exposure, and appears superior to trough (C0) monitoring for prediction of rejection risk. The purpose of this study was to determine if C2 was a cost-effective alternative as compared to trough monitoring in Argentina. Methods: A predictive decision model originally developed for Canada was adapted to Argentina to predict costs associated with C0 and C2 monitoring in the first 12 months after transplantation. Parameter estimates for key clinical events in the C2 strategy were derived from a randomized trial conducted in 30 centers in 10 countries. Patients were treated with microemulsion CsA, steroids and azathioprine or MMF. Parameter estimates for the C0 strategy were based on event rates observed in Canadian studies and published clinical trials. The model was adapted to the Argentinean health system through local protocols and expert opinions; costs were valued in December 2002 Argentinean pesos and converted to US dollars (1 USD = 2.85 ARS). The analysis was performed from the perspective of the health care payer. Results: The incidence of acute rejection was predicted to be 19.0% at 1-year in patients monitored by C0 and 13.8% in those monitored by C2. Graft survival was predicted to be 1.4% lower in the C0 group, while there was no difference in patient survival. The clinical data suggested no important differences in co-morbidity, in the costs of C0 and C2 monitoring, and in ambulatory-based adverse events between the C0 and C2 cohorts. The model predicted an average cost per patient for the first year post-transplant of $17,323 for C0 monitoring and $17,343 for C2 monitoring. The predicted cost for initial hospitalization was $6,912 for C0 and C2 monitoring. The cost of maintenance, graft loss and dialysis was $5,384 in the C0 cohort and $5,457 in the C2 cohort. Follow-up hospitalization consumed an additional $3,225 for each group. Treatment of acute rejection consumed $238 in C0 patients and $172 in those monitored by C2. Sensitivity analyses indicated that the average daily dose of microemulsion CsA was the most influential parameter affecting the incremental cost per patient. The next most influential parameter was the incremental probability of graft survival in the C2 cohort relative to the C0 cohort. Conclusions: In Argentina, C2 monitoring is expected to provide a potentially important reduction in the risks of acute rejection, and it does so without increasing the estimated cost of care in the first year post-transplant. Though modeling assumptions become more restrictive over time, this projection allows a preliminary assessment of the economic impact of the routine use of C2 monitoring.

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: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.036
GPT teacher head0.347
Teacher spread0.311 · 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
Published2004
Admission routes2
Has abstractyes

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