Evidence map›Paper›PMID 33352010›Full record

ArticleJournal of diabetes2021

Combining glomerular basement membrane and tubular basement membrane assessment improves the prediction of diabetic end-stage renal disease.

Lijun Zhao, Junlin Zhang, Song Lei, Honghong Ren, Yutong Zou, Lin Bai, Rui Zhang, Huan Xu, Lin Li, Yuancheng Zhao and 4 more

Abstract read
In one paragraph

Article in Journal of diabetes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

14 authors.

Lijun ZhaoDivision of Nephrology, West China Hospital of Sichuan University, Chengdu, China.
Junlin ZhangDivision of Nephrology, West China Hospital of Sichuan University, Chengdu, China.
Song LeiDivision of Pathology, West China Hospital of Sichuan University, Chengdu, China.
Honghong RenDivision of Nephrology, West China Hospital of Sichuan University, Chengdu, China.
Yutong ZouDivision of Nephrology, West China Hospital of Sichuan University, Chengdu, China.
Lin BaiHistology and Imaging platform, Core Facility of West China Hospital, Chengdu, China.
Rui ZhangDivision of Nephrology, West China Hospital of Sichuan University, Chengdu, China.
Huan XuDivision of Pathology, West China Hospital of Sichuan University, Chengdu, China.
Lin LiDivision of Pathology, West China Hospital of Sichuan University, Chengdu, China.
Yuancheng ZhaoDivision of Nephrology, West China Hospital of Sichuan University, Chengdu, China.
Mark E CooperDivision of Diabetes, Central Clinical School, Monash University, Melbourne, Melbourne, Australia.
Nanwei TongDivision of Endocrinology, West China Hospital of Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0002-5395-3660
Jie ZhangHistology and Imaging platform, Core Facility of West China Hospital, Chengdu, China.
Fang LiuDivision of Nephrology, West China Hospital of Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0003-1121-3004

Funding

Applied Basic Research Project of Sichuan Science and Technology Department 2020YJ0063Key Research and Development Project of Sichuan Science and Technology Department 19ZDYF1273National Natural Science Foundation of China 81670662National Natural Science Foundation of China 81970626Popularization Project of the Science and Technology Project of the Sichuan Health Planning Committee 19PJ250Postdoctoral Research Foundation in West China Hospital 2019HXBH101Research and DevelopmentResearch FoundationWest China Hospital
6 · The paper itself

Abstract

backgroundTo address the prognostic value of combining tubular basement membrane (TBM) and glomerular basement membrane (GBM) thickness in diabetic nephropathy (DN).

methodsThis retrospective study enrolled 110 patients with type 2 diabetes and biopsy-proven DN from 2011 to 2018. The pathological findings were confirmed according to the Renal Pathology Society classifications. GBM and TBM thicknesses were determined using the Haas' direct measurement/arithmetic mean method and orthogonal intercept method, respectively. Cox proportional hazard models were used to investigate the hazard ratios (HRs) for the influence of combined GBM and TBM thickness for predicting end-stage renal disease (ESRD).

resultsPatients were assigned to three groups according to the median GBM and TBM thickness: GBM

conclusionsTBM thickness enhanced GBM thickness for renal prognosis in patients with type 2 diabetes.

Indexed as

Diabetes Mellitus, Type 2Diabetic NephropathiesFemaleFollow-Up StudiesGlomerular Basement MembraneHumansKidney Failure, ChronicKidney TubulesMaleMiddle AgedPrognosisRetrospective Studiesdiabetic nephropathyend-stage renal diseaseglomerular membrane basementprognosistubular membrane basement糖尿病肾病终末期肾脏病肾小球基底膜肾小管基底膜预后

Identifiers

PMID33352010
PMCPMC8246816

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Registered trials

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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.