Evidence map›Paper›PMID 37161465›Full record

ArticleEuropean journal of medical research2023

Evaluation of three scoring systems for predicting renal prognosis in antineutrophil cytoplasmic antibody-associated glomerulonephritis.

Ruiqiang Wang, Xiaofeng Zhang, Xinfang Wang, Lin Chen, Qiuling Ma, Yajing Su, Jingwen Liu, Huihui Shi

Open access · goldAbstract read
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Article in European journal of medical research, 2023. 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
0.5field-weighted citation impact, top 30% of its field
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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 2 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Ruiqiang Wang *Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, No.1 Jianshe Road, Zhengzhou, 450052, Henan, China. wangruiqiang@zzu.edu.cn.
Xiaofeng Zhang *Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, No.1 Jianshe Road, Zhengzhou, 450052, Henan, China.
Xinfang WangDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, No.1 Jianshe Road, Zhengzhou, 450052, Henan, China.
Lin ChenDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, No.1 Jianshe Road, Zhengzhou, 450052, Henan, China.
Qiuling MaDepartment of Hematology, The Second Affiliated Hospital of Henan University of Traditional Chinese Medicine, No.6 Dongfeng Road, Zhengzhou, 450046, Henan, China.
Yajing SuDepartment of Hematology, The Second Affiliated Hospital of Henan University of Traditional Chinese Medicine, No.6 Dongfeng Road, Zhengzhou, 450046, Henan, China.
Jingwen LiuDepartment of Hematology, The Second Affiliated Hospital of Henan University of Traditional Chinese Medicine, No.6 Dongfeng Road, Zhengzhou, 450046, Henan, China.
Huihui ShiDepartment of Hematology, The Second Affiliated Hospital of Henan University of Traditional Chinese Medicine, No.6 Dongfeng Road, Zhengzhou, 450046, Henan, China.
First Affiliated Hospital of Henan University · CNFirst Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntineutrophil cytoplasmic antibody (ANCA)-associated glomerulonephritis (AAGN) is characterized by rapidly progressive glomerulonephritis, and timely initiation of treatment and evaluation is critical to prevent the progression of renal disease to end-stage renal disease (ESRD). The aim of this study was to evaluate predictive value of the renal risk score (RRS), Birmingham vasculitis activity score (BVAS), and renal vascular lesions (RVLs) score for renal prognosis in AAGN.

methodsA retrospective analysis of ninety-four patients diagnosed with AAGN after renal biopsy was performed. The RRS, BVAS, and RVLs score were evaluated in relation to clinicopathologic features and renal prognosis. A receiver operating characteristic curve (ROC) was used to evaluate their renal prognostic value.

resultsThe median follow-up time was 36 months. Thirty-eight patients progressed to ESRD. Survival analysis showed that renal prognosis worsened in the RRS group in order of low, medium, and high RRS (P < 0.05). Within the RVLs group, the renal prognosis of the groups with severe and moderate RVLs was worse than that of the group without RVLs (P = 0.012, P < 0.001), and the group with mild RVLs was close to that of the group without RVLs. ROC analysis showed that the AUC of RRS, BVAS, RVLs score, RVLs score combined with RRS (RVLs score & RRS, RR), RVLs score, and RRS combined with BVAS (RVLs score & RRS & BVAS, RRB) were 0.865, 0.624, 0.763, 0.910, and 0.942, respectively. The predictive power of RRB and RR was comparable and significantly better than the RRS, BVAS, and RVLs score. Based on simplicity and validity, RR was selected as the best predictor, and the relationship between RRS, RVLs score, and RR was calculated using a linear fit, resulting in the linear equation RR = -0.4766 + 0.1231 × RVLs score + 0.395 × RRS (P < 0.001).

conclusionsIn AAGN, the predictive power of RR for renal prognosis was superior to that of RRS, BVAS, and RVLs score. RR may serve as a new predictor of renal prognosis in AAGN.

Indexed as

GlomerulonephritisKidney Failure, ChronicAntibodies, Antineutrophil CytoplasmicHumansPrognosisRetrospective StudiesAntibodies, Antineutrophil CytoplasmicAntineutrophil cytoplasmic antibody-associated glomerulonephritisBirmingham vasculitis activity scoreRenal prognosisRenal risk scoreRenal vascular lesions score

Identifiers

PMID37161465
PMCPMC10169502
OpenAlexW4376131506

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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.