Evidence map›Paper›PMID 40369954›Full record

ArticleRenal failure2025

Prediction of peripheral blood lymphocyte subpopulations after renal transplantation.

Bo Peng, Xuyu Xiang, Han Tian, Kaiqiang Xu, Quan Zhuang, Junhui Li, Pengpeng Zhang, Yi Zhu, Min Yang, Jia Liu and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Renal failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

13 authors.

Bo PengTransplantation Center, The Third Xiangya Hospital, Central South University, Changsha, China.
Xuyu XiangTransplantation Center, The Third Xiangya Hospital, Central South University, Changsha, China.
Han TianSchool of Computer Science and Technology, University of Science and Technology of China (USTC), Hefei, China.
Kaiqiang XuiSING Lab, Hong Kong University of Science and Technology, Hong Kong, China.
Quan ZhuangTransplantation Center, The Third Xiangya Hospital, Central South University, Changsha, China.
Junhui LiTransplantation Center, The Third Xiangya Hospital, Central South University, Changsha, China.
Pengpeng ZhangTransplantation Center, The Third Xiangya Hospital, Central South University, Changsha, China.
Yi ZhuTransplantation Center, The Third Xiangya Hospital, Central South University, Changsha, China.
Min YangTransplantation Center, The Third Xiangya Hospital, Central South University, Changsha, China.
Jia LiuTransplantation Center, The Third Xiangya Hospital, Central South University, Changsha, China.
Yujun ZhaoTransplantation Center, The Third Xiangya Hospital, Central South University, Changsha, China.
Ke ChengTransplantation Center, The Third Xiangya Hospital, Central South University, Changsha, China.
Yingzi MingTransplantation Center, The Third Xiangya Hospital, Central South University, Changsha, China.ORCID 0009-0009-8878-3831

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune monitoring is essential for maintaining immune homeostasis after renal transplantation (RT). Peripheral blood lymphocyte subpopulations (PBLSs) are widely used biomarkers for immune monitoring, yet there is no established standard reference for PBLSs during immune reconstitution post-RT. PBLS data from stable recipients at various time points post-RT were collected. Binary and multiple linear regressions, along with a mixed-effect linear model, were used to analyze the correlations between PBLSs and clinical parameters. Predictive models for PBLS reference values were developed using Gradient Boosting Regressor, and the models' performance was also evaluated in infected recipients. A total of 1,736 tests from 494 stable recipients and 98 tests from 82 infected recipients were included. Age, transplant time, induction therapy, dialysis duration, serum creatinine, albumin, hemoglobin, and immunosuppressant drug concentration were identified as major factors influencing PBLSs. CD4

Indexed as

Immune ReconstitutionKidney TransplantationLymphocyte SubsetsAdultAgedBiomarkersFemaleHumansImmunosuppressive AgentsLymphocyte CountMaleMiddle AgedMonitoring, ImmunologicReference ValuesRetrospective StudiesBiomarkersImmunosuppressive Agentsimmune monitoringimmune reconstitutionmachine learningperipheral blood lymphocyte subpopulationRenal transplantation

Identifiers

PMID40369954
PMCPMC12082734

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.