Evidence map›Paper›PMID 32611399›Full record

ArticleBMC nephrology2020

The correlation analysis between the Oxford classification of Chinese IgA nephropathy children and renal outcome - a retrospective cohort study.

Heyan Wu, Zhengkun Xia, Chunlin Gao, Pei Zhang, Xiao Yang, Ren Wang, Meiqiu Wang, Yingchao Peng

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 7% 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

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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Prognosis and predictive factors in pediatric IgA nephropathy.Pediatric nephrology (Berlin, Germany) · 2026
    Article
  4. Childhood-onset IgA nephropathy: is long-term recovery possible?Pediatric nephrology (Berlin, Germany) · 2024
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  5. Review
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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 1 institution in 1 country.

Heyan WuDepartment of Pediatrics, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, China.
Zhengkun XiaDepartment of Pediatrics, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, China. njxzk@126.com.ORCID 0000-0003-3281-8766
Chunlin GaoDepartment of Pediatrics, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, China. shuangmu34@163.com.
Pei ZhangDepartment of Pediatrics, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, China.
Xiao YangDepartment of Pediatrics, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, China.
Ren WangDepartment of Pediatrics, Jinling Hospital, Nanjing Medical University, Nanjing, China.
Meiqiu WangDepartment of Pediatrics, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, China.
Yingchao PengDepartment of Pediatrics, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, China.
Nanjing General Hospital of Nanjing Military Command · CN

Funding

the Clinical Advanced Techniques, Primary Research & Development Plan of Jiangsu Province BE2017719the Pediatric Medical Innovation Team of Jiangsu Province CXTDA2017022
6 · The paper itself

Abstract

backgroundThe 2016 Oxford Classification's MEST-C scoring system predicts outcomes in adults with IgA nephropathy (IgAN), but it lacks tremendous cohort validation in children with IgAN in China. We sought to verify whether the Oxford classification could be used to predict the renal outcome of children with IgAN.

methodsIn this retrospective cohort study, 1243 Chinese IgAN children who underwent renal biopsy in Jinling Hospital were enregistered from 2000 to 2017. The combined endpoint was defined as either a ≥ 50% reduction in estimated glomerular filtration rate (eGFR) or end-stage renal disease (ESRD). We probed into the relevance betwixt the Oxford classification and renal prognosis.

resultsThere were 29% of children with mesangial proliferation(M1), 35% with endocapillary proliferation (E1), 37% with segmental sclerosis/adhesion lesion (S1), 23% with moderate tubular atrophy/interstitial fibrosis (T1 25-50% of cortical area involved), 4.3% with severe tubular atrophy/interstitial fibrosis (T2 > 50% of cortical area involved), 44% with crescent in< 25% of glomeruli(C1), and 4.6% with crescent in> 25% of glomeruli (C2). All children were followed for a medial of 7.2 (4.6-11.7) years, 171 children (14%) arrived at the combined endpoint. The multivariate COX regression model revealed that the presence of lesions S (HR2.7,95%CI 1.8 ~ 4.2, P<0.001) and T (HR6.6,95%CI 3.9 ~ 11.3, P<0.001) may be the reason for poorer prognosis in the whole cohort. In contrast, C lesion showed a significant association with the outcome only in children received no immunosuppressive treatment.

conclusionsThis study revealed that S and T lesions were useful as the long-term renal prognostic factors among Chinese IgAN children.

Indexed as

AdolescentAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsAtrophyChildChinaCohort StudiesDisease ProgressionFemaleFibrosisGlomerular Filtration RateGlomerular MesangiumGlomerulonephritis, IGAGlucocorticoidsHumansImmunosuppressive AgentsAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsGlucocorticoidsImmunosuppressive AgentsChildrenIgA nephropathyOxford classificationRenal outcome

Identifiers

PMID32611399
PMCPMC7329550
OpenAlexW3039006623

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.