Evidence map›Paper›PMID 42613637›Full record

ReviewBiomarker research2026

The role of biomarkers across the care continuum in acute heart failure.

Arzu Kalayci, C Michael Gibson, James L Januzzi

Abstract readReview
In one paragraph

Review in Biomarker research, 2026. 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.

Arzu KalayciDivision of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Yawkey Center 5984 55 Fruit Street, Boston, MA, 02114, USA.
C Michael GibsonBaim Institute for Clinical Research, Boston, MA, USA.
James L JanuzziDivision of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Yawkey Center 5984 55 Fruit Street, Boston, MA, 02114, USA. jjanuzzi@mgb.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute heart failure (AHF) remains a global health challenge, characterized by high morbidity, mortality, and frequent rehospitalizations. The heterogeneity of clinical presentations in AHF and its complex underlying pathophysiology complicates diagnosis, risk stratification, and therapeutic decision-making. Biomarkers have reshaped the clinical landscape in AHF by providing objective, biologically-grounded insights that complement traditional clinical assessment. Natriuretic peptides are established as indispensable for diagnosis and prognosis, while troponins, soluble ST2, galectin-3, and even newer candidates such as adrenomedullin and CA-125 may capture complementary domains including myocardial injury, fibrosis, congestion, and systemic stress. Applied dynamically across the care continuum-from the emergency department to hospitalization, discharge, and follow-up-biomarkers may support earlier diagnosis, more refined risk assessment, monitoring of therapeutic response, and post-discharge surveillance. Evidence increasingly favors multimarker strategies, integrating diverse biological signals; these consistently outperform single-marker approaches. Risk scores that incorporate biomarkers further strengthen clinical decision-making by providing structured risk estimates at critical time points. Future studies must explore best means of combining multiple markers into panels and whether multimarker-guided strategies have benefit in improving outcomes beyond the natriuretic peptides and troponin. Future advances will depend on embedding biomarkers within precision-medicine frameworks. Phenotype-specific algorithms, integration into electronic health records with automated decision support, and the application of artificial intelligence and machine learning offer clear potential. Equally, innovations in point-of-care testing and remote monitoring may extend biomarker utility beyond hospital walls. Collectively, these developments could shift AHF management from reactive stabilization toward proactive, biomarker-guided care aimed at improving outcomes in this high-risk population.

Indexed as

Acute heart failureBiomarkersClinical timelinePrognosisRisk stratification

Identifiers

PMID42613637
PMCPMC13488223

What Socratic holds

Textmetadata
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 Socratic graph.