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Record W4405183480 · doi:10.2215/cjn.0000000614

Standardized Long-Term Care for Living Kidney Donors

2024· article· en· W4405183480 on OpenAlexaboutno aff
Kelly Helm

Bibliographic record

VenueClinical Journal of the American Society of Nephrology · 2024
Typearticle
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineKidney donationDialysisDonationQuality of life (healthcare)Kidney transplantationKidneyFamily medicineKidney diseaseHealth careIntensive care medicineNursingInternal medicine

Abstract

fetched live from OpenAlex

Kidney transplantation is the optimal treatment of patients with ESKD because it is associated with better quality of life and survival when compared with dialysis.1 As the worldwide prevalence of patients with kidney disease reaching kidney failure grows, it is important to increase the rate of living kidney donation. To meet this need, more attention must be placed on the living kidney donors themselves to ensure their safety and long-term health, including standards on follow-up care. I commend the authors of the recent CJASN publication entitled “Perspectives on Long-Term Follow-Up among Living Kidney Donors” for examining how living donors want to be followed over time in Canada.2 I think it is fair to say that most living kidney donors have altruistic values and motivations that often surpass any subsequent risks. As a patient caregiver whose child has had two living kidney transplants and has ongoing relationships with both living donors, the donor's well-being is just as important to me as my child's. This study presents valuable insights into the perspectives of living kidney donors in Canada regarding long-term follow-up. The comprehensive survey of 685 donors provides a strong analysis, which indicates that the significant majority or 73% of living kidney donors had received follow-up care, albeit a large number from primary care providers (PCPs). The high rate of satisfaction among living kidney donors implies that many donors feel their follow-up health care needs are being met, although there is room for improved care. I do, however, wonder if there is a gap in education for which donors and PCPs do not fully understand the need to monitor for and the risks associated with changes in clinical and laboratory assessments that would affect the rates of satisfaction. This may be a point of follow-up insight gathering in the future. I would like to see longer term data and outcomes to measure more long-term satisfaction rates. The focus on the need for annual monitoring and access to specialized care does, however, address the significant lack of post–living donation support and highlights an important area for improvement in health management systems. The survey findings show that follow-up rates were higher among living donors who received reminders from their transplant centers, which suggests that preemptive outreach could improve participation in follow-up care and outcomes. While many living donors were comfortable and even preferred follow-up care with their primary care physician, they also expressed a desire for specialist involvement when facing new health challenges, indicating a need for integrated care approaches that could address potential issues and provide reassurance to donors. This type of collaboration is difficult for patients living with existing kidney disease, so I am skeptical that living donors would get to a specialist in time if they were solely being monitored by PCPs, especially because the article states that a large number of Canadians are not established with a PCP. For these reasons, I would strongly advocate and agree with the authors that all follow-up care should be coordinated and led by the transplant center while perhaps the PCPs administer some care points. This model would increase the odds that living donors’ care needs and information desires are met. I believe that this study is a good starting point and should lead to subsequent studies outside of Canada to provide broader application to all living donors. Although there is not a one-size-fits-all solution, these findings can influence the living donor perspectives and needs in other regions and could provide a more comprehensive solution. In subsequent studies, it would also be interesting to obtain qualitative feedback from donors about their experiences to deepen understanding of their needs. Overall, this study effectively emphasizes the critical need for structured and standardized follow-up care and communication in supporting living kidney donors and highlights opportunities for improving post–living donation care, education, and frameworks to roll out the red carpet for selfless living kidney donors and ensure their kidney health outcomes. I look forward to seeing how we continue to grow living kidney donation services in the future.

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)0.005
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.002

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 head0.029
GPT teacher head0.388
Teacher spread0.358 · 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 designNot applicable
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

Citations1
Published2024
Admission routes1
Has abstractyes

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