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Should Patients Remain on Intensive Hemodialysis Rather than Choosing to Receive a Kidney Transplant?

2010· review· en· W1934230356 on OpenAlexaff
Philip A. McFarlane

Bibliographic record

VenueSeminars in Dialysis · 2010
Typereview
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsMedicineTransplantationDialysisHemodialysisIntensive care medicineKidney transplantationQuality of life (healthcare)Intensive careRandomized controlled trialInternal medicineNursing

Abstract

fetched live from OpenAlex

Most dialysis patients would choose to receive a kidney transplant if possible. However, some patients who are receiving intensive hemodialysis (HD) have opted against transplantation and have chosen to remain on dialysis. In this paper, we examine studies that help to inform the decision between receiving a kidney transplant and remaining on intensive HD. There are no randomized trials directly comparing transplant to intensive HD. Database and prospective nonrandomized studies support a number of conclusions. First, compared to conventional HD, survival appears to be better with either transplantation or intensive HD. Survival appears to be similar between intensive HD and deceased donor kidney transplantation, but the best survival is reported with live donor transplantation. Secondly, people with a kidney transplant or receiving intensive HD report a higher quality of life than people on conventional HD. There is insufficient evidence to determine whether there are significant quality of life differences between these treatments. Finally, the costs of intensive HD compare favorably to those of conventional HD. Renal transplantation is more costly in the first year, but after about 2 years should be less costly than any form of HD. Based on these studies eligible intensive HD patients should be encouraged to pursue transplantation, especially live kidney donor transplantation. Individual concerns about the relative risks and benefits of renal transplantation may drive some patients to choose to stay on dialysis. Clinicians should explore the reasons behind such a decision to ensure that the patient is properly informed; however, appropriately reasoned decisions should be respected.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.979
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.030
GPT teacher head0.316
Teacher spread0.286 · 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 designOther design
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".

Quick stats

Citations25
Published2010
Admission routes1
Has abstractyes

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