Evidence map›Paper›PMID 26671676›Full record

SynthesisJACC. Heart failure2015

Amino-Terminal Pro-B-Type Natriuretic Peptide for Diagnosis and Prognosis in Patients With Renal Dysfunction: A Systematic Review and Meta-Analysis.

Jennifer A Schaub, Steven G Coca, Dennis G Moledina, Mark Gentry, Jeffrey M Testani, Chirag R Parikh

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in JACC. Heart failure, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
2.1field-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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Observational
  15. Article
  16. Review
  17. Review
  18. Article
  19. Observational
  20. Review
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

6 authors at 2 institutions in 1 country.

Jennifer A SchaubDepartment of Internal Medicine and Applied Translational Research, Yale University School of Medicine, New Haven, Connecticut.
Steven G CocaIchan School of Medicine at Mount Sinai, New York, New York.
Dennis G MoledinaDepartment of Internal Medicine and Applied Translational Research, Yale University School of Medicine, New Haven, Connecticut.
Mark GentryJohn Cushing/John Hay Whitney Medical Library, Yale University School of Medicine, New Haven.
Jeffrey M TestaniDepartment of Internal Medicine and Applied Translational Research, Yale University School of Medicine, New Haven, Connecticut.
Chirag R ParikhDepartment of Internal Medicine and Applied Translational Research, Yale University School of Medicine, New Haven, Connecticut. Electronic address: chirag.parikh@yale.edu.
Yale University · USMount Sinai Hospital · US

Funding

PATHOPHYSIOLOGY OF ACUTE AND CHRONIC RENAL DISEASET32DK007276 · NIDDK · YALE UNIVERSITY · PI ARONSON, PETER S., CANTLEY, LLOYD G · 1986 to 2022
$9.3M
Mentoring Program for Translational and Patient Oriented Research in AKIK24DK090203 · NIDDK · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2012 to 2016
$896k
Cardio-renal phenotype and prognosis in chronic heart failureK23HL114868 · NHLBI · YALE UNIVERSITY · PI TESTANI, JEFFREY M · 2012 to 2017
$845k
NHLBI NIH HHS K23 HL114868NHLBI NIH HHS K23HL114868NHLBI NIH HHS L30 HL115790NHLBI NIH HHS L30HL115790NIDDK NIH HHS K24 DK090203NIDDK NIH HHS K24DK090203NIDDK NIH HHS T32 DK007276NIDDK NIH HHS T32DK007276-36
6 · The paper itself

Abstract

objectivesThis study sought to determine if amino-terminal pro-B-type natriuretic peptide (NT-proBNP) has different diagnostic and prognostic utility in patients with renal dysfunction.

backgroundPatients with renal dysfunction have higher NT-proBNP, which may complicate interpretation for diagnosis of acute decompensated heart failure (ADHF) or prognosis.

methodsWe searched MEDLINE and EMBASE through August 2014 for studies with a subgroup analysis by renal function of the diagnostic or prognostic ability of NT-proBNP.

resultsFor diagnosis, 9 studies were included with 4,287 patients and 1,325 ADHF events. Patients were mostly divided into subgroups with and without renal dysfunction by an estimated glomerular filtration rate of 60 ml/min/1.73 m(2). In patients with renal dysfunction, the area under the curve (AUC) for NT-proBNP ranged from 0.66 to 0.89 with a median cutpoint of 1,980 pg/ml, while the AUC ranged from 0.72 to 0.95 with a cutpoint of 450 pg/ml in patients with preserved renal function. For prognosis, 30 studies with 32,203 patients were included, and mortality in patients with renal dysfunction (25.4%) was twice that of patients with preserved renal function (12.2%). The unadjusted pooled risk ratio for NT-proBNP and mortality was 3.01 (95% confidence interval [CI]: 2.53 to 3.58) in patients with preserved renal function and was similar in patients with renal dysfunction (3.25; 95% CI: 2.45 to 4.30). Upon meta-regression, heterogeneity was partially explained if patients with heart failure or coronary artery disease were enrolled.

conclusionsNT-proBNP retains utility for diagnosis of ADHF in patients with renal dysfunction with higher cutpoints. Elevated NT-proBNP confers a worse prognosis regardless of renal function.

Indexed as

Kidney Failure, ChronicBiomarkersGlomerular Filtration RateHeart FailureHumansNatriuretic Peptide, BrainPeptide FragmentsPredictive Value of TestsPrognosisBiomarkersNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)amino-terminal pro-B-type natriuretic peptidediagnosisprognosisrenal dysfunction

Identifiers

PMID26671676
PMCPMC4683413
OpenAlexW2192369175

What OpenQuestion holds

Textmetadata
LicenceTDM
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.