Evidence map›Paper›PMID 41361858›Full record

ReviewDiagnostic and prognostic research2025

Natriuretic peptides testing and survival prediction models for chronic heart failure: a systematic review of added prognostic value.

Charlotte A Smith, Kathryn S Taylor, Nicholas R Jones, Dominik Roth, Amy Magona, Nia Roberts, Clare J Taylor, F D Richard Hobbs, Maria D L A Vazquez-Montes

Abstract readReview
In one paragraph

Review in Diagnostic and prognostic research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Charlotte A SmithRoyal Devon University Healthcare NHS Foundation Trust, Royal Devon and Exeter Hospital, Exeter, UK.
Kathryn S TaylorNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Nicholas R JonesNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Dominik RothDepartment of Emergency Medicine, Medical University of Vienna, Vienna, Austria.
Amy MagonaOxford Clinical Trials Research Unit, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
Nia RobertsBodleian Health Care Libraries, University of Oxford, Oxford, UK.
Clare J TaylorNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
F D Richard HobbsNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Maria D L A Vazquez-MontesNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK. maria.vazquezmontes@phc.ox.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh natriuretic peptide levels are associated with a poor outcome in adults with chronic heart failure (CHF). However, the incremented prediction accuracy of multivariable prognostic models after adding B-type natriuretic peptide (BNP) and/or N-terminal proBNP (NT-proBNP) remains unclear.

methodsWe carried out a systematic review narrative analysis of added-value studies of BNP and NT-proBNP in CHF prognostication. Primary clinical studies investigating prognostic model development or validation in adult participants with CHF were included. Any studies of individual factors' association with patient outcomes, treatment efficacy, or those using patients with transplant/ventricular assist devices, ≥ 10% of patients with advanced HF, or significant comorbidities, HF secondary to congenital/reversible conditions, or ≥ 33% of patients with valvular HF were excluded. The databases MEDLINE, Embase, Science Citation Index, and Cochrane Prognosis Methods Group Database were searched from January 1990 to February 2024. Predictive performance was measured in terms of discrimination and calibration, the added value in terms of the c-statistic difference before and after adding BNP and/or NT-proBNP to a base model, and the risk reclassification, namely, net reclassification index (NRI) and integrated discrimination improvement (IDI). Risk of bias assessment used the Prediction model Risk Of Bias ASsessment Tool (PROBAST).

resultsFourteen added-value studies comprising a total of 50,949 individuals were included. Both BNP and NT-proBNP consistently improved mortality prediction performance, but studies only presented separately before and after c-statistics, without formally testing for statistically significant differences. Meta-analysis was impossible due to missing data on the change in predictive performance and data heterogeneity. All studies reported discrimination. Few reported calibration, NRI, and IDI. All studies except one were deemed to be at high risk of bias, whereas 50% showed high applicability to the review question, with only 14% scoring high for applicability concern, and the rest were unclear.

conclusionsImproving consistency in researching and reporting the added value of natriuretic peptide testing to predict mortality in chronic heart failure patients could facilitate summarizing and interpreting the results more meaningfully. REGISTRATION: This review is a refinement of the methods and a search update of the review of added-value biomarkers in HF prognosis (PROSPERO registration number: CRD42019086993).

Indexed as

Added valueB-type natriuretic peptideMortalityN-terminal proBNPPrediction

Identifiers

PMID41361858
PMCPMC12687552

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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.