Evidence map›Paper›PMID 39897527›Full record

ArticleJournal of inflammation research2025

Altered CD73-Adenosine Signaling Linked to Infection in Patients undergoing hemodialysis.

Fangfang Xiang, Zhen Zhang, Yuxin Nie, Xuesen Cao, Yang Li, Xiaohong Chen, Shaomin Gong, Jianzhou Zou, Jie Teng, Xiaoqiang Ding and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of inflammation research, 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

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

1 citing paper in PubMed.

  1. 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

11 authors.

Fangfang Xiang *Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.ORCID 0000-0003-3847-9654
Zhen Zhang *Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Yuxin NieDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Xuesen CaoDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Yang LiDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Xiaohong ChenDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Shaomin GongDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Jianzhou ZouDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Jie TengDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Xiaoqiang DingDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Bo ShenDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Infection is the most common cause of hospitalization and the second most common cause of mortality among patients undergoing hemodialysis (HD). The enzyme CD73, a cell surface 5'-nucleotidase, regulates the balance between pro-inflammatory nucleotides and anti-inflammatory adenosine. Diminished CD73-adenosine signaling contributes to severe infections. Methods: In this prospective cohort study, 393 patients who underwent HD for over six months were evaluated for CD73 Results: Decreased CD73 Conclusion: Lower CD73

Indexed as

adenosineCD73hemodialysisinfectionT cell dysfunction

Identifiers

PMID39897527
PMCPMC11784357

What Socratic 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 Socratic graph.