ArticleHemaSphere2025
Integration of gene mutations in risk prognostication for watch-and-wait follicular lymphoma patients initiating first-line treatment.
Article in HemaSphere, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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
1 citing paper in PubMed.
- Impact of marital status on survival in patients with follicular lymphoma.Annals of hematology · 2026Article
Corrections and comments
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Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Follicular lymphoma (FL) patients with low tumor burden at diagnosis frequently undergo the watch-and-wait (W&W) strategy. The study aimed to facilitate risk assessment in predicting the time to lymphoma treatment (TLT) for W&W patients through an integrated analysis of clinical factors and genetic mutations. A retrospective study was conducted on 214 FL patients managed with W&W between 2016 and 2023. Among them, 184 patients underwent targeted sequencing. The median follow-up was 30.4 months (IQR 21.4-41.9, range 6.4-95.8). A clinico-genetic model m3-PRIMA-PI was developed using the multivariate Cox proportional hazards method, incorporating two clinical parameters (bone marrow involvement and elevated β2-MG) and three gene mutations (
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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.