ReviewHaematologica2026
CHIP ahoy: charting a decade of discovery in clonal hematopoiesis.
Review in Haematologica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Potential Health Consequences of Regular Blood Donation: Current Evidence and Remaining Uncertainties.Journal of clinical medicine · 2026Review
- Drivers of Inflammation; Clonal Hematopoiesis: Clinical Implications.Balkan medical journal · 2026Article
- Introduction to the Review Series. Clonal hematopoiesis review series - from biology to clinical management.Haematologica · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Clonal hematopoiesis (CH) involves the expansion of hematopoietic stem cells with age-acquired mutations linked to myeloid malignancy. Advances in next-generation and single-cell sequencing, along with computational modeling, have expanded our ability to detect both common and rare CH drivers, including single-nucleotide variants and mosaic chromosomal alterations, with increasing sensitivity. While sequencing methods differ in accuracy, cost, and ability to detect low-frequency variants, they have deepened our understanding of CH biology. A growing body of evidence has identified both somatic drivers, such as variants in DNMT3A, TET2, and ASXL1, and germline genetic variants that modify CH risk, highlighting the complex interplay between acquired and inherited factors. These collective discoveries are guiding the development of targeted therapies and interventions, particularly for individuals at risk of progression to myeloid neoplasms or cardiovascular disease. Additionally, CH is emerging as a clinically relevant factor in the treatment of solid tumors, in which it may influence the tumor microenvironment, response to treatment and the risk of therapy-related complications. Risk stratification models are facilitating earlier identification and monitoring of high-risk individuals, enabling personalized treatment decisions. The scope of CH management continues to expand, from surveillance to intervention, with ongoing trials testing preventive strategies in high-risk populations. Emerging trial frameworks emphasize risk stratification, age-appropriateness, inclusive recruitment, decentralized trial models, and the use of traditional clinical and novel endpoints. Together, these advances reflect a shift from passive observation to proactive intervention, charting a course for early detection, precision treatment, and prevention in CH care.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.