Evidence map›Paper›PMID 32964800›Full record

Trial reportJournal of the American Heart Association2020

NT-proBNP by Itself Predicts Death and Cardiovascular Events in High-Risk Patients With Type 2 Diabetes Mellitus.

Marcus V B Malachias, Pardeep S Jhund, Brian L Claggett, Magnus O Wijkman, Rhonda Bentley-Lewis, Nishi Chaturvedi, Akshay S Desai, Steven M Haffner, Hans-Henrik Parving, Margaret F Prescott and 4 more

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of the American Heart Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05745090 (Performance of NT-proBNP in Risk Stratification for Cardiovascular Events and Mortality in Patients With Diabetes), which is not on this map. Cited by 44 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 3 pooled it
6.1field-weighted citation impact, top 2% 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.

NCT05745090 active not recruitingnot on this mapstarted 2022, after this paper: background citation

Performance of NT-proBNP in Risk Stratification for Cardiovascular Events and Mortality in Patients With Diabetes (PISCES)

TypeobservationalSponsorSingapore General HospitalRan2022 to 2029Enrolled1,200ConditionsType2diabetes, Heart Failure, Cardiovascular Complication
3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 3 syntheses or guidelines pooled it, 68 citations in OpenAlex.

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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

14 authors at 9 institutions in 6 countries.

Marcus V B MalachiasCardiovascular Division Brigham & Women's Hospital Harvard Medical School Boston MA.
Pardeep S JhundInstitute of Cardiovascular and Medical Sciences University of Glasgow United Kingdom.
Brian L ClaggettCardiovascular Division Brigham & Women's Hospital Harvard Medical School Boston MA.
Magnus O WijkmanCardiovascular Division Brigham & Women's Hospital Harvard Medical School Boston MA.
Rhonda Bentley-LewisMassachusetts General Hospital Harvard Medical School Boston MA.
Nishi ChaturvediMRC Unit for Lifelong Health and Ageing at UCL Institute for Cardiovascular Sciences University College London London United Kingdom.
Akshay S DesaiCardiovascular Division Brigham & Women's Hospital Harvard Medical School Boston MA.
Steven M HaffnerDepartment of Medicine and Clinical Epidemiology University of Texas Health Science Center San Antonio TX.
Hans-Henrik ParvingDepartment of Medical Endocrinology Rigshospitalet University of Copenhagen Denmark.
Margaret F PrescottNovartis Pharma New Jersey NJ.
Scott D SolomonCardiovascular Division Brigham & Women's Hospital Harvard Medical School Boston MA.
Dick De ZeeuwDepartment of Clinical Pharmacy and Pharmacology University Medical Center Groningen University of Groningen the Netherlands.
John J V McMurrayInstitute of Cardiovascular and Medical Sciences University of Glasgow United Kingdom.
Marc A PfefferCardiovascular Division Brigham & Women's Hospital Harvard Medical School Boston MA.
Brigham and Women's Hospital · USUniversity of Glasgow · GBHarvard University · USLinköping University · SEMRC Unit for Lifelong Health and Ageing · GBNovartis (United States) · USThe University of Texas Health Science Center at San Antonio · USUniversity Medical Center Groningen · NLUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background NT-proBNP (N-terminal pro-B-type natriuretic peptide) improves the discriminatory ability of risk-prediction models in type 2 diabetes mellitus (T2DM) but is not yet used in clinical practice. We assessed the discriminatory strength of NT-proBNP by itself for death and cardiovascular events in high-risk patients with T2DM. Methods and Results Cox proportional hazards were used to create a base model formed by 20 variables. The discriminatory ability of the base model was compared with that of NT-proBNP alone and with NT-proBNP added, using C-statistics. We studied 5509 patients (with complete data) of 8561 patients with T2DM and cardiovascular and/or chronic kidney disease who were enrolled in the ALTITUDE (Aliskiren in Type 2 Diabetes Using Cardiorenal Endpoints) trial. During a median 2.6-year follow-up period, 469 patients died and 768 had a cardiovascular composite outcome (cardiovascular death, resuscitated cardiac arrest, nonfatal myocardial infarction, stroke, or heart failure hospitalization). NT-proBNP alone was as discriminatory as the base model for predicting death (C-statistic, 0.745 versus 0.744,

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Proportional Hazards ModelsAgedAmidesAntihypertensive AgentsDiabetes ComplicationsDouble-Blind MethodFemaleFumaratesHumansMaleMiddle AgedNatriuretic Peptide, BrainPeptide FragmentsPredictive Value of TestsaliskirenAmidesAntihypertensive AgentsFumaratesNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)cardiovascular diseasesdiabetes complicationsdiabetes mellituspro‐B-type natriuretic peptideproportional hazards modelstype 2

Identifiers

PMID32964800
PMCPMC7792415
OpenAlexW3088051608

What OpenQuestion holds

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Registered trials

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.