Evidence map›Paper›PMID 26554763›Full record

Observational studyMedicine2015

Which Biomarker is the Best for Predicting Mortality in Incident Peritoneal Dialysis Patients: NT-ProBNP, Cardiac TnT, or hsCRP?: A Prospective Observational Study.

Hyung Jung Oh, Mi Jung Lee, Young Eun Kwon, Kyoung Sook Park, Jung Tak Park, Seung Hyeok Han, Tae-Hyun Yoo, Yong-Lim Kim, Yon Su Kim, Chul Woo Yang and 2 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Observational
  10. Article
  11. The importance of residual renal function in peritoneal dialysis.International urology and nephrology · 2016
    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

12 authors.

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

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although numerous previous studies have explored various biomarkers for their ability to predict mortality in end-stage renal disease (ESRD) patients, these studies have been limited by retrospective analyses, mostly prevalent dialysis patients, and the measurement of only 1 or 2 biomarkers. This prospective study was aimed to evaluate the association between 3 biomarkers and mortality in incident 335 ESRD patients starting continuous ambulatory peritoneal dialysis (CAPD) in Korea. According to the baseline NT-proBNP, cTnT, and hsCRP levels, the patients were stratified into tertiles, and cardiovascular (CV) and all-cause mortalities were compared. Additionally, time-dependent ROC curves were constructed, and the net reclassification index (NRI) and integrated discrimination improvement (IDI) of the models with various biomarkers were calculated. We found the upper tertile of NT-proBNP was significantly associated with increased risk of both CV and all-cause mortalities. However, the upper tertile of hsCRP was significantly related only to the high risk of all-cause mortality even after adjustment for age, sex, and white blood cell counts. Moreover, NT-proBNP had the highest predictive power for CV mortality, whereas hsCRP was the best prognostic marker for all-cause mortality among these biomarkers. In conclusions, NT-proBNP is a more significant prognostic factor for CV mortality than cTnT and hsCRP, whereas hsCRP is a more significant predictor than NT-proBNP and cTnT for all-cause mortality in incident peritoneal dialysis patients.

Indexed as

Peritoneal Dialysis, Continuous AmbulatoryBiomarkersC-Reactive ProteinFemaleHumansKidney Failure, ChronicMaleMiddle AgedNatriuretic Peptide, BrainPeptide FragmentsPrognosisProspective StudiesProtein PrecursorsRepublic of KoreaROC CurveTroponin TBiomarkersC-Reactive ProteinNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)Protein PrecursorsTroponin T

Identifiers

PMID26554763
PMCPMC4915864

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.