Evidence map›Paper›PMID 40148763›Full record

ArticleBMC infectious diseases2025

Correlation between peripheral lymphocyte subsets monitoring and COVID-19 pneumonia in kidney transplant recipients.

Quan Zhuang, Jiang Zhu, Bo Peng, Yi Zhu, Ke Cheng, Yingzi Ming

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

6 authors.

Quan Zhuang *Transplantation Center, Third Xiangya Hospital, Central South University, Changsha, 410013, China.
Jiang Zhu *Transplantation Center, Third Xiangya Hospital, Central South University, Changsha, 410013, China.
Bo PengTransplantation Center, Third Xiangya Hospital, Central South University, Changsha, 410013, China.
Yi ZhuTransplantation Center, Third Xiangya Hospital, Central South University, Changsha, 410013, China.
Ke ChengTransplantation Center, Third Xiangya Hospital, Central South University, Changsha, 410013, China.
Yingzi MingTransplantation Center, Third Xiangya Hospital, Central South University, Changsha, 410013, China. myz_china@aliyun.com.

Funding

National Natural Science Foundation of China 82270795Wisdom Accumulation and Talent Cultivation Project of the Third Xiangya Hospital of Central South University YX202009
6 · The paper itself

Abstract

objectivesIn kidney transplant recipients (KTRs), immune monitoring of peripheral lymphocyte subsets (PLS) reflects the real immune status and aids in the diagnosis of the occurrence and development of infectious diseases, including COVID-19. Exploring the PLS of COVID-19 pneumonia in KTRs is important.

methodsIn this study, a total of 103 KTRs were divided into mild pneumonia (MP) and severe pneumonia (SP) groups, as well as a stable group. The clinical information and PLS data were assessed via t or Mann-Whitney test and receiver operating curve analysis. Logistic regression was employed to identify the risk factors, and Spearman's correlation analysis was used to identify correlations.

resultsLymphopenia is a common manifestation of COVID-19 in KTRs, and it is positively related to the severity of COVID-19 pneumonia. The CD3 + T-cell count had the highest AUC between the MP and the SP. Multiple PLS measures were found to be independent risk factors for COVID-19 pneumonia progression in KTRs.

conclusionsThis study revealed a robust correlation between PLS and severe COVID-19 pneumonia progression in KTRs. PLS monitoring could facilitate real-time diagnosis and therapy for infection, as well as timely and precisive adjustment of immunosuppression instructions, for KTRs with COVID-19.

Indexed as

COVID-19Kidney TransplantationLymphocyte SubsetsAdultAgedFemaleHumansLymphocyte CountLymphopeniaMaleMiddle AgedRisk FactorsSARS-CoV-2Severity of Illness IndexTransplant RecipientsCOVID-19Immune monitoringKidney transplantationPeripheral lymphocyte subsetsSevere pneumonia

Identifiers

PMID40148763
PMCPMC11948920

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.