Evidence map›Paper›PMID 27914132›Full record

ArticleJournal of Korean medical science2017

Associations between Soluble Receptor for Advanced Glycation End Products (sRAGE) and S100A12 (EN-RAGE) with Mortality in Long-term Hemodialysis Patients.

Eul Sik Jung, Wookyung Chung, Ae Jin Kim, Han Ro, Jae Hyun Chang, Hyun Hee Lee, Ji Yong Jung

Open access · goldAbstract read
In one paragraph

Article in Journal of Korean medical science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Differential expression and role of S100 proteins in chronic rhinosinusitis.Current opinion in allergy and clinical immunology · 2020
    Review
  9. RAGE Signaling in Skeletal Biology.Current osteoporosis reports · 2019
    Review
  10. Observational
  11. Observational
  12. Article
  13. Article
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

7 authors at 2 institutions in 1 country.

Eul Sik JungDivision of Nephrology, Department of Internal Medicine, Gachon University Gil Medical Center, Incheon, Korea.ORCID http://orcid.org/0000-0003-3898-4693
Wookyung ChungDivision of Nephrology, Department of Internal Medicine, Gachon University Gil Medical Center, Incheon, Korea.ORCID http://orcid.org/0000-0001-7657-130X
Ae Jin KimDivision of Nephrology, Department of Internal Medicine, Gachon University Gil Medical Center, Incheon, Korea.ORCID http://orcid.org/0000-0001-5017-8649
Han RoDivision of Nephrology, Department of Internal Medicine, Gachon University Gil Medical Center, Incheon, Korea.ORCID http://orcid.org/0000-0001-7170-0571
Jae Hyun ChangDivision of Nephrology, Department of Internal Medicine, Gachon University Gil Medical Center, Incheon, Korea.ORCID http://orcid.org/0000-0003-3947-0715
Hyun Hee LeeDivision of Nephrology, Department of Internal Medicine, Gachon University Gil Medical Center, Incheon, Korea.ORCID http://orcid.org/0000-0002-0319-6390
Ji Yong JungDivision of Nephrology, Department of Internal Medicine, Gachon University Gil Medical Center, Incheon, Korea.ORCID http://orcid.org/0000-0003-1271-8012
Gachon University · KRGachon University Gil Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hemodialysis (HD) patients experience vascular calcification, ultimately leading to high mortality rates. Previously, we reported associations between soluble receptor for advanced glycation end products (sRAGEs) and extracellular newly identified RAGE-binding protein S100A12 (EN-RAGE) and vascular calcification. Here, we extended our observations, investigating whether these biomarkers may be useful for predicting cardiovascular morbidity and mortality in these subjects. Thus, we evaluated the relationship between sRAGE and S100A12 and mortality in long-term HD patients. This was a prospective observational cohort study in 199 HD patients from an extended analysis of our previous study. Plasma sRAGE, S100A12, comorbidities, and other traditional risk factors were investigated. The cumulative incidences for death using Cox proportional hazards regression were evaluated in multivariable analyses. The observation period was 44 months. During the observation period, 27 (13.6%) patients died. Univariate analysis demonstrated that S100A12 was correlated with diabetes (P = 0.040) and high-sensitivity C-reactive protein (hsCRP) (P = 0.006). In multivariable analyses, plasma sRAGE (hazard ratio [HR] = 1.155; 95% confidence interval [CI] = 0.612-2.183; P = 0.656) and S100A12 (HR = 0.960; 95% CI = 0.566-1.630; P = 0.881) were not associated with mortality in HD patients, although traditional predictors of mortality, including age, history of cardiovascular diseases (CVDs), and serum levels of albumin and hsCRP were related to mortality. Powerful predictors of mortality were age, CVD, and albumin levels. Plasma sRAGE and S100A12 may be weak surrogate markers for predicting all-cause mortality in patients undergoing HD, although S100A12 was partly related to diabetes and inflammation.

Indexed as

AdultAgedBiomarkersCardiovascular DiseasesCohort StudiesC-Reactive ProteinFemaleFollow-Up StudiesGlycation End Products, AdvancedHumansMaleMiddle AgedMultivariate AnalysisProportional Hazards ModelsProspective StudiesRenal DialysisBiomarkersC-Reactive ProteinGlycation End Products, AdvancedS100A12 ProteinSerum AlbuminHemodialysisMortalityS100A12sRAGE

Identifiers

PMID27914132
PMCPMC5143299
OpenAlexW2553652103

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.