Evidence map›Paper›PMID 39816639›Full record

ArticleInternational journal of general medicine2025

Idiopathic Retroperitoneal Fibrosis-Related Hydronephrosis: Evaluation of Comprehensive Management and Prediction of Inflammatory Markers for Stent-Free Outcomes.

Zixiong Huang, Yanying Liu, Yunshu Xiao, Hao Hu, Tao Xu

Abstract read
In one paragraph

Article in International journal of general medicine, 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

5 authors.

Zixiong HuangDepartment of Urology, Peking University People's Hospital, Beijing, 100044, People's Republic of China.ORCID 0000-0003-1602-6830
Yanying LiuDepartment of Rheumatology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, People's Republic of China.ORCID 0009-0004-6014-0635
Yunshu XiaoDepartment of Rheumatology and Immunology, Peking University People's Hospital, Beijing, 100044, People's Republic of China.
Hao HuDepartment of Urology, Peking University People's Hospital, Beijing, 100044, People's Republic of China.ORCID 0000-0002-8569-9679
Tao XuDepartment of Urology, Peking University People's Hospital, Beijing, 100044, People's Republic of China.ORCID 0000-0003-3899-1500

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study investigated the efficacy of comprehensive management and predictable inflammatory markers for idiopathic retroperitoneal fibrosis (iRPF)-related hydronephrosis outcomes. Methods: Patients with iRPF-related hydronephrosis underwent surgical (ureteral stent and/or nephrostomy tube placement) and medical (corticosteroid-based multiple immunosuppressants) management were classified according to stent-indwelling outcomes. Univariate analysis of clinical profiles was conducted to screen possible predictors of hydronephrosis remission. Results: In a series of 38 patients, 52.6% achieved hydronephrosis remission and stent/tube removal (stent-free group). The median indwelling time in the stent-free group (12 months) was significantly lower than that in the treatment-failure group (37 months, Conclusion: Comprehensive management benefits iRPF patients with hydronephrosis by preserving renal function. The 24-month scale might guide stent/tube removal. Elevated inflammatory markers (IgG and CRP) at the initial iRPF diagnosis and IgG, CRP, and erythrocyte sedimentationrate (ESR) variations associated with hydronephrosis outcomes.

Indexed as

hydronephrosisidiopathic retroperitoneal fibrosisimmunosuppressant medicationsstent-free outcomeureteral stent

Identifiers

PMID39816639
PMCPMC11733166

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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.