Evidence map›Paper›PMID 39878850›Full record

ReviewCurrent heart failure reports2025

Insights and Opportunities from Multimarker Evaluation of Heart Failure: Lessons from BIOSTAT-HF.

Antoinette S Birs, Donya Mazdeyasnan, Lori B Daniels

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In one paragraph

Review in Current heart failure reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

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

3 authors.

Antoinette S BirsDivision of Cardiovascular Medicine, Department of Medicine, University of California, 9394 Medical Center Drive, La Jolla, San Diego, CA, USA. abirs@health.ucsd.edu.
Donya MazdeyasnanUniversity of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, CA, USA.
Lori B DanielsDivision of Cardiovascular Medicine, Department of Medicine, University of California, 9394 Medical Center Drive, La Jolla, San Diego, CA, USA. lbdaniels@ucsd.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewHeart failure is a complex and heterogenous disease state that affects millions worldwide. Over recent decades, advancements in medical therapy and device implementation have significantly transformed the landscape of heart failure outcomes, while improvements in imaging modalities and greater accessibility to genome sequencing have led to increasing recognition of distinct heart failure endotypes. There is rising evidence to suggest all patients do not benefit equally from intensification of guideline directed medical therapy (GDMT). Efforts to personalize medical therapy to maximize benefits while minimizing side effects remains an ongoing challenge. We review key manuscripts from The BIOlogy Study to TAilored Treatment in Chronic Heart Failure (BIOSTAT-CHF), a multicenter observational study conducted across Europe, which prospectively enrolled patients with acute or worsening heart failure.

findingsBIOSTAT-CHF was designed to characterize biological pathways associated with varied patient responses to GDMT for heart failure. Utilizing a diverse cohort of European patients, the authors were able to develop risk models to predict mortality and heart failure hospitalization from clinically available data plus standard and novel biomarkers. They also utilized modeling to refine characterization of heart failure subtypes and personalization of GDMT titration. In this review we highlight key insights from the BIOSTAT-CHF cohort and how they relate to: (1) prognosis and monitoring treatment response in heart failure, (2) personalization of heart failure treatment, and (3) elucidation of biological pathways and future directions for research. These insights summarize how BIOSTAT-CHF has contributed to a deeper understanding of heart failure, focusing on using biomarkers personalizing treatment approaches, with a goal of ultimately improving patient outcomes.

Indexed as

BiomarkersHeart FailureHumansBiomarkersBiomarkersHeart failureMedical therapyPhenotypeRisk prediction

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Registered trials

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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.