Evidence map›Paper›PMID 38676874›Full record

ArticleJournal of thrombosis and thrombolysis2024

Comprehensive evaluation of genetic and acquired thrombophilia markers for an individualized prediction of clinical thrombosis in patients with lymphoma and multiple myeloma.

Irene Sánchez Prieto, Isabel Gutiérrez Jomarrón, Celia Martínez Vázquez, Pedro Rodríguez Barquero, Paula Gili Herreros, Julio García-Suárez

Open access · hybridAbstract read
In one paragraph

Article in Journal of thrombosis and thrombolysis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 19% of its field
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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Risk Assessment for Venous Thrombosis in Lymphoma and Emerging Biomarkers.International journal of molecular sciences · 2026
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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

6 authors at 1 institution in 1 country.

Irene Sánchez PrietoHematology Department, Hospital Universitario Príncipe de Asturias, Alcalá de Henares, Madrid, Spain. irenesprieto92@gmail.com.ORCID http://orcid.org/0000-0003-2326-0385
Isabel Gutiérrez JomarrónHematology Department, Hospital Universitario Príncipe de Asturias, Alcalá de Henares, Madrid, Spain.
Celia Martínez VázquezHematology Department, Hospital Universitario Príncipe de Asturias, Alcalá de Henares, Madrid, Spain.
Pedro Rodríguez BarqueroHematology Department, Hospital Universitario Príncipe de Asturias, Alcalá de Henares, Madrid, Spain.
Paula Gili HerrerosHematology Department, Hospital Universitario Príncipe de Asturias, Alcalá de Henares, Madrid, Spain.
Julio García-SuárezHematology Department, Hospital Universitario Príncipe de Asturias, Alcalá de Henares, Madrid, Spain.
Hospital Universitario Príncipe de Asturias · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients diagnosed with lymphoma or multiple myeloma are at elevated risk of venous thromboembolism (VTE). Optimum risk stratification and effective thromboprophylaxis can only be achieved through the development of a multiple-specific risk score that successfully captures all aspects of the heterogeneous prothrombotic environment existing in these patients. Our aim was to identify risk factors for thrombosis and suggest an improved tool combining clinical data, thrombo-inflammatory biomarkers and genetic (Thrombo inCode® test) variables for predicting thrombotic risk in patients with lymphoma and multiple myeloma. A prospective longitudinal study was conducted on newly-diagnosed lymphoma and multiple myeloma patients who presented at our institution between February 2020 and January 2021. The study included 47 patients with lymphoma and 16 patients with multiple myeloma. We performed a follow-up of 1 year or until September 2021. The incidence of venous thrombosis and associated risk factors were analysed, including the genetic Thrombo inCode® test. Khorana and ThroLy scores for lymphoma patients and IMPEDE VTE score for myeloma patients were calculated. At a median follow-up of 9.1 months, VTE incidence was 9.5% (6/63), with 4 and 2 patients with lymphoma and myeloma who developed the events, respectively. Univariate analysis showed that the incidence of thrombosis was significantly higher in patients with ECOG ≥ 2 and prior immobility. Median factor VIII levels were significantly higher in patients with thrombosis (with increased values in all of them). Moreover, there was a trend in genetic variant rs5985 (factor XIII) as a protective factor, and a trend to higher thrombotic risk in patients with factor V Leiden, rs2232698 variant (serpinA10), low total protein S activity, elevated D-dimer, aggressive lymphoma and treatment with dexamethasone. The results of our study demonstrate promise for the potential use of widely accessible markers to increase precision in risk prediction for VTE in patients with lymphoma and multiple myeloma, particularly ECOG ≥ 2, immobility and higher factor VIII levels, as well as lymphoma aggressiveness, treatment with dexamethasone and the haemostatic biomarkers D-dimer and total protein S activity. Additionally, genetic variants factor V Leiden, serpinA10 rs2232698 and factor XIII-A Val34Leu warrant further investigation for use in the research setting.

Indexed as

LymphomaMultiple MyelomaThrombophiliaAdultAgedBiomarkersFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedProspective StudiesRisk AssessmentRisk FactorsThrombosisBiomarkersCancer-associated thrombosisGenetic thrombophilia variantsLymphomaMultiple myelomaProthrombotic biomarkersVenous thromboembolism

Identifiers

PMID38676874
PMCPMC11315779
OpenAlexW4395695442

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.