Evidence map›Paper›PMID 39507530›Full record

ReviewFrontiers in immunology2024

PD-1 immunology in the kidneys: a growing relationship.

Ruyue Chen, Qiang Lin, Hanyun Tang, Xiaomei Dai, Lu Jiang, Ningxun Cui, Xiaozhong Li

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

7 authors.

Ruyue Chen *Department of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou, Jiangsu, China.
Qiang Lin *Department of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou, Jiangsu, China.
Hanyun TangDepartment of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou, Jiangsu, China.
Xiaomei DaiDepartment of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou, Jiangsu, China.
Lu JiangDepartment of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou, Jiangsu, China.
Ningxun CuiDepartment of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou, Jiangsu, China.
Xiaozhong LiDepartment of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, knowledge regarding immune regulation has expanded rapidly, and major advancements have been made in immunotherapy for immune-associated disorders, particularly cancer. The programmed cell death 1 (PD-1) pathway is a cornerstone in immune regulation. It comprises PD-1 and its ligands mediating immune tolerance mechanisms and immune homeostasis. Accumulating evidence demonstrates that the PD-1 axis has a crucial immunosuppressive role in the tumor microenvironment and autoimmune diseases. PD-1 receptors and ligands on immune cells and renal parenchymal cells aid in maintaining immunological homeostasis in the kidneys. Here, we present a comprehensive review of PD-1 immunology in various kidney disorders, including renal cell carcinoma, glomerulonephritis, kidney transplantation, renal aging, and renal immune-related adverse events secondary to PD-1 immunotherapy.

Indexed as

KidneyKidney DiseasesProgrammed Cell Death 1 ReceptorAnimalsHumansImmune Checkpoint InhibitorsImmunotherapyKidney NeoplasmsImmune Checkpoint InhibitorsPDCD1 protein, humanProgrammed Cell Death 1 Receptorglomerulonephritisimmune-related adverse eventskidney transplantationprogrammed death 1programmed death ligand 1renal agingrenal cell carcinoma

Identifiers

PMID39507530
PMCPMC11537962

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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 OpenQuestion graph.