Evidence map›Paper›PMID 39294598›Full record

ArticleBMC nephrology2024

Long-term outcomes in rapamycin on renal allograft function: a 30-year follow-up from a single-center experience.

Yisheng Ji, Li Sun, Shuang Fei, Xiang Gao, Hao Chen, Zhijian Han, Jun Tao, Xiaobing Ju, Zijie Wang, Ruoyun Tan and 1 more

Abstract read
In one paragraph

Article in BMC nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Yisheng Ji *Department of Urology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Li Sun *Department of Urology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Shuang Fei *Department of Urology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xiang GaoDepartment of Urology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Hao ChenDepartment of Urology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zhijian HanDepartment of Urology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jun TaoDepartment of Urology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xiaobing JuDepartment of Urology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zijie WangDepartment of Urology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China. wangzijie@njmu.edu.com.
Ruoyun TanDepartment of Urology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China. tanruoyun112@vip.sina.com.
Min GuDepartment of Urology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China. njmuwzj1990@hotmail.com.

Funding

National Natural Science Foundation of China 82270790, 82170769, 82070769, 81900684
6 · The paper itself

Abstract

objectivesTo evaluate long-term renal graft prognosis and the role of rapamycin from a single-center in China over a 30-year follow-up.

methodsThis study enrolled a total of 654 patients who underwent kidney transplantation between 1989 and 2020. The basic characteristics of the included patients were collected. Graft survival was described and compared using Kaplan-Meier curves (K-M curves). Both continuous and categorical variables were included in a multivariate Cox proportional-hazards model. Patients were divided into rapamycin-based quadruple immunosuppression regimen group (rapa group, n = 41) and conventional tacrolimus-based triple immunosuppression regimen group (control group, n = 218). The indication biopsy results of the two groups were further reviewed to compare the incidence of rejection, acute rejection, and banff score.

resultsThe overall 5, 10, 15, 20-year graft survival rate of our center is 87.5%, 62.4%, 46.4% and 20.9%, respectively. The median survival time after surgery is 14 years. Multiple Cox regression analysis identified BMI (p = 0.035), dialysis type (p < 0.001), immunosuppressants (p < 0.01), urine albumen (p < 0.001), globulin (p = 0.041), and blood glucose (p = 0.002) as risk factors. The 20-year, 10-year and 5-year AUC is 0.78, 0.75 and 0.75. The combination of FK506 and rapamycin was further suggested by the model to effectively improve the graft prognosis (p < 0.01, HR = 0.763). The K-M curve showed that the long-term survival rate of renal grafts in the rapa group was significantly better than that in the conventional group (p < 0.001). In addition, indication biopsy records revealed a lower possibility of immune rejection in the rapa group than that in the conventional group (p < 0.001). Banff score indicated that rapa group had less vascular inflammation in the transplanted kidney.

conclusionsIn this study, a 30-year follow-up was performed in a single center, and a total graft 20-year survival rate of 20.9% was reported. The prognostic model and subgroup analysis suggested that FK506 combined with rapamycin could effectively improve the prognosis of renal transplantation, which could be explained by reduced acute rejection and less vascular inflammation.

Indexed as

Graft RejectionGraft SurvivalImmunosuppressive AgentsKidney TransplantationSirolimusTacrolimusAdultDrug Therapy, CombinationFemaleFollow-Up StudiesHumansMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesTime FactorsImmunosuppressive AgentsSirolimusTacrolimusGraft survivalKidney transplantationPrediction modelRapamycin

Identifiers

PMID39294598
PMCPMC11411783

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.