Evidence map›Paper›PMID 30153817›Full record

ArticleBMC nephrology2018

Clinical implications of pathological features of primary membranous nephropathy.

Xiao-Dan Zhang, Zhao Cui, Mu-Fan Zhang, Jia Wang, Yi-Miao Zhang, Zhen Qu, Xin Wang, Jing Huang, Fang Wang, Li-Qiang Meng and 4 more

Abstract read
In one paragraph

Article in BMC nephrology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
–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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Xiao-Dan ZhangRenal Division, Key Laboratory of Renal Disease, Ministry of Health of China, Key Laboratory of CKD Prevention and Treatment, Ministry of Education of China, Peking University First Hospital, Institute of Nephrology, Peking University, Beijing, 100034, People's Republic of China.
Zhao CuiRenal Division, Key Laboratory of Renal Disease, Ministry of Health of China, Key Laboratory of CKD Prevention and Treatment, Ministry of Education of China, Peking University First Hospital, Institute of Nephrology, Peking University, Beijing, 100034, People's Republic of China. cuizhao@bjmu.edu.cn.
Mu-Fan ZhangRenal Division, Key Laboratory of Renal Disease, Ministry of Health of China, Key Laboratory of CKD Prevention and Treatment, Ministry of Education of China, Peking University First Hospital, Institute of Nephrology, Peking University, Beijing, 100034, People's Republic of China.
Jia WangRenal Division, Key Laboratory of Renal Disease, Ministry of Health of China, Key Laboratory of CKD Prevention and Treatment, Ministry of Education of China, Peking University First Hospital, Institute of Nephrology, Peking University, Beijing, 100034, People's Republic of China.
Yi-Miao ZhangRenal Division, Key Laboratory of Renal Disease, Ministry of Health of China, Key Laboratory of CKD Prevention and Treatment, Ministry of Education of China, Peking University First Hospital, Institute of Nephrology, Peking University, Beijing, 100034, People's Republic of China.
Zhen QuRenal Division, Key Laboratory of Renal Disease, Ministry of Health of China, Key Laboratory of CKD Prevention and Treatment, Ministry of Education of China, Peking University First Hospital, Institute of Nephrology, Peking University, Beijing, 100034, People's Republic of China.
Xin WangRenal Division, Key Laboratory of Renal Disease, Ministry of Health of China, Key Laboratory of CKD Prevention and Treatment, Ministry of Education of China, Peking University First Hospital, Institute of Nephrology, Peking University, Beijing, 100034, People's Republic of China.
Jing HuangRenal Division, Key Laboratory of Renal Disease, Ministry of Health of China, Key Laboratory of CKD Prevention and Treatment, Ministry of Education of China, Peking University First Hospital, Institute of Nephrology, Peking University, Beijing, 100034, People's Republic of China.
Fang WangRenal Division, Key Laboratory of Renal Disease, Ministry of Health of China, Key Laboratory of CKD Prevention and Treatment, Ministry of Education of China, Peking University First Hospital, Institute of Nephrology, Peking University, Beijing, 100034, People's Republic of China.
Li-Qiang MengRenal Division, Key Laboratory of Renal Disease, Ministry of Health of China, Key Laboratory of CKD Prevention and Treatment, Ministry of Education of China, Peking University First Hospital, Institute of Nephrology, Peking University, Beijing, 100034, People's Republic of China.
Xu-Yang ChengRenal Division, Key Laboratory of Renal Disease, Ministry of Health of China, Key Laboratory of CKD Prevention and Treatment, Ministry of Education of China, Peking University First Hospital, Institute of Nephrology, Peking University, Beijing, 100034, People's Republic of China.
Su-Xia WangLaboratory of Electron Microscopy, Pathological Centre, Peking University First Hospital, Beijing, People's Republic of China.
Gang LiuRenal Division, Key Laboratory of Renal Disease, Ministry of Health of China, Key Laboratory of CKD Prevention and Treatment, Ministry of Education of China, Peking University First Hospital, Institute of Nephrology, Peking University, Beijing, 100034, People's Republic of China.
Ming-Hui ZhaoRenal Division, Key Laboratory of Renal Disease, Ministry of Health of China, Key Laboratory of CKD Prevention and Treatment, Ministry of Education of China, Peking University First Hospital, Institute of Nephrology, Peking University, Beijing, 100034, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe clinical outcome varies considerably in primary membranous nephropathy (pMN). Risk factors for kidney prognosis include ageing, male gender, persistent heavy proteinuria, decreased eGFR at presentation, persistent elevation of anti-PLA2R antibodies, no remission, and so on. It was controversial whether the histopathological features of pMN could predict treatment response and kidney outcome.

methodsA retrospective study was conducted in 371 patients with biopsy-proven pMN. Pathological parameters included immunofluorescence staining, membranous Churg's stages, sclerosis, crescent, focal segmental sclerosis lesion, chronic and acute tubulointerstitial injury. The fluorescence intensity was determined: 0, negative; 1, weak; 2, moderate; 3, strong; 4, glaring. Chronic tubulointerstitial injury was graded by the involved area: 0, 0-5%; 1, 6-25%; 2, 26-50%; 3, > 50%.

resultsWe found that patients with higher intensity of C3 staining, advanced membranous stage, and more severe chronic tubulointerstitial injury presented with higher positivity rate of anti-PLA2R antibodies, higher levels of urinary protein excretion and serum creatinine, and lower level of serum albumin. Univariate Cox regression analysis showed that severe (grade = 3) chronic tubulointerstitial injury was a risk factor to the kidney outcome of ESKD (HR = 61.02, 95%CI, 7.75-480.57, P < 0.001) and over 50% reduction of eGFR (HR = 4.43, 95%CI, 1.26-15.6, P = 0.021). Multivariate analysis demonstrated it as an independent risk factor to ESKD (HR = 25.77, 95% CI, 1.27-523.91, P = 0.035). None of the pathological parameters exerted any influence on treatment response (P > 0.05).

conclusionsWe found the prognostic role of chronic tubulointerstitial injury to the kidney outcome of pMN. This study highlighted the value of kidney biopsy under the widespread usage of anti-PLA2R antibodies for diagnosis and prognosis.

Indexed as

AdultAgedFemaleFollow-Up StudiesGlomerular Filtration RateGlomerulonephritis, MembranousHumansKidney Failure, ChronicMaleMiddle AgedProteinuriaRetrospective StudiesMembranous nephropathyPathologyPrognosisTubulointerstitial injury

Identifiers

PMID30153817
PMCPMC6114049

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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.