Evidence map›Paper›PMID 23341833›Full record

ArticleNephron extra2012

Relative Change in NT-proBNP Level: An Important Risk Predictor of Cardiovascular Congestion in Haemodialysis Patients.

M Pastural-Thaunat, R Ecochard, N Boumendjel, E Abdullah, C Cardozo, A Lenz, I M'pio, J C Szelag, D Fouque, A Walid and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nephron extra, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 8 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

11 authors at 4 institutions in 1 country.

M Pastural-ThaunatAssociation pour l'Utilisation du Rein Artificiel à Lyon, France.
R Ecochard
N Boumendjel
E Abdullah
C Cardozo
A Lenz
I M'pio
J C Szelag
D Fouque
A Walid
M Laville
Association pour l'Utilisation du Rein Artificiel · FRAssociation pour l'Utilisation du Rein Artificiel dans la région Lyonnaise · FRHôpital Edouard Herriot · FRHospices Civils de Lyon · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCross-sectional studies have shown that B-type natriuretic peptide (BNP) and its N-terminal fragment (NT-proBNP) are predictive of cardiovascular death in haemodialysis (HD) patients. In the present study, we tested the hypothesis that monitoring NT-proBNP measurements adds further prognostic information, i.e. predicts congestive heart failure (CHF) events.

methodsIn a prospective cohort of 236 HD patients, NT-proBNP levels were measured monthly during 18 months. Patients were divided according to the occurrence of CHF events. In a nested case-control study, we assessed the evolution of NT-proBNP levels.

resultsOn average, the 236 HD patients were followed up for 12.5 months, a period during which 44 patients developed a CHF event (half requiring hospitalisation). At baseline, patients who developed a CHF event had significantly more dilated cardiomyopathy and/or altered left ventricular ejection fraction and higher NT-proBNP levels compared with patients who did not develop a CHF event. During follow-up, we observed a significant increase in NT-proBNP levels preceding the CHF event. At a 20% relative increase of NT-proBNP, the sensitivity of NT-proBNP as a predictor of CHF events was 0.57 and the specificity 0.77.

conclusionThe relative change in NT-proBNP levels is a significant risk predictor of a CHF event.

Indexed as

Congestive heart failureHaemodialysisMonitoringNT-proBNPRisk predictor

Identifiers

PMID23341833
PMCPMC3551398
OpenAlexW1986816908

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.