Evidence map›Paper›PMID 25501091›Full record

Observational studyMedicine2014

NT-proBNP: is it a more significant risk factor for mortality than troponin T in incident hemodialysis patients?

Hyung Jung Oh, Mi Jung Lee, Hye Sun Lee, Jung Tak Park, Seung Hyeok Han, Tae-Hyun Yoo, Yong-Lim Kim, Yon Su Kim, Chul Woo Yang, Nam-Ho Kim and 1 more

Open access · goldAbstract readComparative StudyMulticenter StudyObservational Study
In one paragraph

Observational study in Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. 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

11 authors at 4 institutions in 1 country.

Hyung Jung OhFrom the Department of Internal Medicine, College of Medicine, Brain Korea 21 for Medical Science, Severance Biomedical Science Institute, Yonsei University, Seoul, Korea (HJO, MJL, JTP, SHH, T-HY, S-WK); Department of Internal Medicine, Kyungpook National University School of Medicine, Daegu, Korea (Y-LK); Department of Internal Medicine, Seoul National University of Medicine, Seoul, Korea (YSK); Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, Seoul, Korea (CWY); Department of Medicine, Chonnam National University Medical School, Gwangju, Korea (N-HK); and Department of Biostatistics, Yonsei University College of Medicine, Seoul, Korea (HSL).
Mi Jung Lee
Hye Sun Lee
Jung Tak Park
Seung Hyeok Han
Tae-Hyun Yoo
Yong-Lim Kim
Yon Su Kim
Chul Woo Yang
Nam-Ho Kim
Shin-Wook Kang
Yonsei University · KRChonnam National University · KRKyungpook National University · KRSeoul St. Mary's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous studies have demonstrated that cardiac biomarkers are significant predictors of cardiovascular (CV) and all-cause mortality in ESRD patients, but most of the studies were retrospective or included small numbers of patients, only prevalent dialysis patients, or measured 1 or 2 biomarkers. This study was to analyze the association between 3 cardiac biomarkers and mortality in incident HD patients. A prospective cohort of 864 incident HD patients was followed for 30 months. Based on the median values of baseline NT-proBNP, cTnT, and hsCRP, the patients were divided into "high" and "low" groups, and CV and all-cause mortality were compared between each group. Additionally, time-dependent ROC curves were constructed, and the NRI and IDI of the models with various biomarkers were calculated. The CV survival rates were significantly lower in the "high" NT-proBNP and cTnT groups compared to the corresponding "low" groups, while there was no significant difference in CV survival rate between the 2 hsCRP groups. However, all-cause mortality rates were significantly higher in all 3 "high" groups compared to each lower group. In multivariate analyses, only Ln NT-proBNP was found to be an independent predictor of mortality. Moreover, NT-proBNP was a more prognostic marker for mortality compared to cTnT. In conclusion, NT-proBNP is the biomarker that results in the most added prognostic value on top of traditional risk factors for CV and all-cause mortality in incident HD patients.

Indexed as

AdultAgedBiomarkersCardiovascular DiseasesFemaleHumansKidney Failure, ChronicMaleMiddle AgedNatriuretic Peptide, BrainPeptide FragmentsProspective StudiesRenal DialysisRepublic of KoreaTroponin TBiomarkersNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)Troponin T

Identifiers

PMID25501091
PMCPMC4602775
OpenAlexW2030668006

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.