Evidence map›Paper›PMID 39134955›Full record

ReviewBMC nephrology2024

Potential biomarkers of recurrent FSGS: a review.

Shuang Hou, Bo Yang, Qian Chen, Yuan Xu, Haiyang Li

Abstract readReview
In one paragraph

Review in BMC nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Inflammation in glomerular diseases.Frontiers in immunology · 2025
    Review
  2. Article
  3. Review
  4. 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

5 authors.

Shuang HouDepartment of Organ Transplantation, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, 550000, China.
Bo YangDepartment of Organ Transplantation, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, 550000, China.
Qian ChenDepartment of Organ Transplantation, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, 550000, China.
Yuan XuDepartment of Organ Transplantation, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, 550000, China. 793215044@qq.com.
Haiyang LiHepatological surgery department, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, 550000, China. lihaiyang@gmc.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Focal segmental glomerulosclerosis (FSGS), a clinicopathological condition characterized by nephrotic-range proteinuria, has a high risk of progression to end-stage renal disease (ESRD). Meanwhile, the recurrence of FSGS after renal transplantation is one of the main causes of graft loss. The diagnosis of recurrent FSGS is mainly based on renal puncture biopsy transplants, an approach not widely consented by patients with early mild disease. Therefore, there is an urgent need to find definitive diagnostic markers that can act as a target for early diagnosis and intervention in the treatment of patients. In this review, we summarize the domestic and international studies on the pathophysiology, pathogenesis and earliest screening methods of FSGS and describe the functions and roles of specific circulating factors in the progression of early FSGS, in order to provide a new theoretical basis for early diagnosis of FSGS recurrence, as well as aid the exploration of therapeutic targets.

Indexed as

BiomarkersGlomerulosclerosis, Focal SegmentalRecurrenceEarly DiagnosisHumansKidney TransplantationBiomarkersBiomarkersFocal segmental glomerulosclerosisPathogenesisPathophysiologyRelapseRenal transplantation

Identifiers

PMID39134955
PMCPMC11318291

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.