Evidence map›Paper›PMID 41535370›Full record

ReviewNature reviews. Cardiology2026

Procoagulant platelets: linking coagulation and thromboinflammation in cardiovascular disease.

Rainer Kaiser, Leo Nicolai

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Observational
  3. Article
  4. Review
  5. Review
  6. Review
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

2 authors.

Rainer KaiserMedizinische Klinik und Poliklinik I, University Hospital Ludwig-Maximilian University, Munich, Germany. rainer.kaiser@med.uni-muenchen.de.ORCID http://orcid.org/0000-0003-1750-3395
Leo NicolaiMedizinische Klinik und Poliklinik I, University Hospital Ludwig-Maximilian University, Munich, Germany. leo.nicolai@med.uni-muenchen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Platelets are the key cell types in haemostasis after vascular injury and crucially contribute to thrombus formation. In addition to their aggregation and clot contraction functions after stimulation by soluble agonists or extracellular matrix proteins, platelets can adopt a highly activated state known as procoagulant activation. Procoagulant platelets influence the pathophysiology underlying various cardiovascular diseases, including myocardial infarction, stroke and deep vein thrombosis. Findings described in the past decade position procoagulant platelets at the dynamic intersection between thrombosis and inflammation. In this Review, we discuss the expanding research on procoagulant platelets, describing how this platelet activation state contributes to macrovascular and microvascular clot formation in cardiovascular diseases. We summarize the key receptors and signalling pathways that control platelet procoagulant activation and that distinguish the procoagulant phenotype from other platelet activation states. Finally, we highlight the clinical significance of platelet procoagulant activation and discuss how the individual pathways involved in this activation can be targeted with the use of both readily available and novel therapeutic approaches, providing a framework for future research that might lead to new diagnostic and therapeutic applications in cardiovascular disease, septic inflammation and immune complex-mediated diseases.

Indexed as

Blood CoagulationBlood PlateletsCardiovascular DiseasesInflammationPlatelet ActivationThromboinflammationAnimalsHumansSignal Transduction

Identifiers

What OpenQuestion 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 OpenQuestion graph.