Evidence mapPaperPMID 41511295Full record

ReviewCells2025

Platelet Subpopulations in Health and Disease: Heterogeneity, Clinical Associations, and Therapeutic Targeting.

Deepa Gautam, Giovanni Goggi, Elisabeth M Battinelli

Abstract readReview
In one paragraph

Review in Cells, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Deepa GautamDivision of Hematology, Brigham and Women's Hospital, Boston, MA 02115, USA.
Giovanni GoggiDepartment of Molecular Medicine, University of Pavia, 27100 Pavia, Italy.ORCID 0009-0001-6586-5502
Elisabeth M BattinelliDivision of Hematology, Brigham and Women's Hospital, Boston, MA 02115, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Platelets are often described in simple terms as small anucleate cells that mediate hemostasis, but studies over more than half a century have shown that circulating platelets are heterogeneous in size, density, age, and functional responses. These subtypes not only contribute to normal hemostasis but also play pivotal roles in the pathogenesis of diverse diseases, including cardiovascular, inflammatory, and malignant disorders. Accumulating evidence indicates that alterations in specific platelet subtypes are closely linked to disease onset, progression, and severity, underscoring their importance as both biomarkers and potential therapeutic targets. Current clinical assessments of platelet status rely primarily on platelet count and mean platelet volume (MPV) as part of routine complete blood count analysis. However, these global measures often fail to capture differences in platelet subtypes, which may remain undetected despite their significant contribution to disease pathology. This gap highlights the necessity of moving beyond conventional metrics toward a more nuanced understanding of platelet heterogeneity and its clinical implications. In this review, we discuss the diversity of platelet subpopulations and their roles in health and disease, emphasizing how specific subsets contribute to divergent pathological mechanisms. We also highlight emerging strategies that target defined platelet subpopulations, illustrating how this knowledge could pave the way for more precise diagnostic and therapeutic approaches.

Indexed as

Blood PlateletsAnimalsBlood Coagulation DisordersDiseaseHealthHumansaggregatory plateletscoated plateletsplatelet subpopulationsprocoagulant plateletsreticulated platelets

Identifiers

PMID41511295
PMCPMC12784801

What Socratic holds

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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.