Evidence map›Paper›PMID 25098821›Full record

ArticlePloS one2014

Circulating TNF receptors are significant prognostic biomarkers for idiopathic membranous nephropathy.

Su Mi Lee, SeungHee Yang, Ran-Hui Cha, Myounghee Kim, Jung Nam An, Jin Ho Paik, Dong Ki Kim, Shin-Wook Kang, Chun Soo Lim, Yon Su Kim and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

18 citing papers in PubMed, 29 citations in OpenAlex.

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  15. Observational
  16. Is there a role for TNFα blockade in ANCA-associated vasculitis and glomerulonephritis?Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2017
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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

11 authors at 8 institutions in 1 country.

Su Mi LeeDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea; Department of Internal Medicine, Dong-A University, Busan, Korea.
SeungHee YangDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea; Kidney Research Institute, Seoul National University, Seoul, Korea.
Ran-Hui ChaDepartment of Internal Medicine, National Medical Center, Seoul, Korea.
Myounghee KimDepartment of Dental Hygiene, College of Health Science, Eulji University, Seongnam, Korea.
Jung Nam AnDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea; Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Korea.
Jin Ho PaikDepartment of Pathology, Seoul National University Bundang Hospital, Seongnam, Korea.
Dong Ki KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea; Kidney Research Institute, Seoul National University, Seoul, Korea.
Shin-Wook KangSeverance Biomedical Science Institute, Brain Korea 21 and Department of Internal Medicine, Yonsei University, Seoul, Korea.
Chun Soo LimDepartment of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Korea.
Yon Su KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea; Kidney Research Institute, Seoul National University, Seoul, Korea.
Jung Pyo LeeDepartment of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Korea.
Seoul National University · KRSeoul National University Hospital · KRSNUH SMG-SNU Boramae Medical Center · KRDong-A University · KREulji University · KRNational Medical Center · KRSeoul National University Bundang Hospital · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Idiopathic membranous nephropathy (iMN) is a common cause of nephrotic syndrome in adults. A biomarker to accurately indicate the severity of iMN and predict long-term prognosis is insufficient. Here, we evaluated the clinical significance of circulating tumor necrosis factor receptors (cTNFRs) as prognostic biomarkers of iMN with nephrotic syndrome. A total of 113 patients with biopsy-proven iMN and 43 healthy volunteers were enrolled in this study. Ninety patients with iMN had nephrotic range proteinuria. Levels of cTNFRs were measured by using serum samples collected at the time of initial diagnosis. Levels of cTNFRs were higher in the patients with nephrotic syndrome than in those with subnephrotic range proteinuria or in the healthy volunteers (P for trend <0.001). Estimated glomerular filtration rate and proteinuria tended to worsen as the cTNFRs levels increased. Having a cTNFR1 level within the highest tertile was a significant risk factor for renal progression after adjustment, in comparison with the other tertiles (hazard ratio [HR], 3.39; 95% confidence interval [95% CI], 1.48-7.78; P = 0.004). The cTNFR2 level within the highest tertile also significantly increased the risk of renal progression (HR, 3.29; 95% CI, 1.43-7.54; P = 0.005). Renal tubular TNFRs expression was associated with cTNFRs level. However, the cTNFRs levels were not associated with autoantibody against phospholipase A2 receptor reactivity/levels or treatment response. This study demonstrated that cTNFRs levels at the time of initial diagnosis could predict renal progression in patients with iMN.

Indexed as

Glomerular Filtration RateGlomerulonephritis, MembranousNephrotic SyndromeAdultAgedBiomarkersFemaleHumansMaleMiddle AgedPrognosisReceptors, Tumor Necrosis Factor, Type IReceptors, Tumor Necrosis Factor, Type IIBiomarkersReceptors, Tumor Necrosis Factor, Type IReceptors, Tumor Necrosis Factor, Type II

Identifiers

PMID25098821
PMCPMC4123977
OpenAlexW2076825539

What OpenQuestion holds

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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.