Evidence map›Paper›PMID 38574862›Full record

ArticleJournal of thrombosis and haemostasis : JTH2024

Biomarkers of bleeding and venous thromboembolism in patients with acute leukemia.

Yohei Hisada, Sierra J Archibald, Karan Bansal, Yanjun Chen, Chen Dai, Sindhu Dwarampudi, Nora Balas, Lindsey Hageman, Nigel S Key, Smita Bhatia and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of thrombosis and haemostasis : JTH, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
8.6field-weighted citation impact, top 2% 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

17 citing papers in PubMed, 19 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 1 country.

Yohei HisadaUNC Blood Research Center, Division of Hematology, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. Electronic address: yohei_hisada@med.unc.edu.
Sierra J ArchibaldUNC Blood Research Center, Division of Hematology, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Karan BansalInstitute for Cancer Outcomes and Survivorship, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Yanjun ChenInstitute for Cancer Outcomes and Survivorship, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Chen DaiInstitute for Cancer Outcomes and Survivorship, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Sindhu DwarampudiInstitute for Cancer Outcomes and Survivorship, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Nora BalasInstitute for Cancer Outcomes and Survivorship, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Lindsey HagemanInstitute for Cancer Outcomes and Survivorship, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Nigel S KeyUNC Blood Research Center, Division of Hematology, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Smita BhatiaInstitute for Cancer Outcomes and Survivorship, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Ravi BhatiaDepartment of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Nigel MackmanUNC Blood Research Center, Division of Hematology, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Radhika GangarajuInstitute for Cancer Outcomes and Survivorship, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA; Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA. Electronic address: rgangaraju@uabmc.edu.
University of Alabama at Birmingham · USUniversity of North Carolina at Chapel Hill · US

Funding

Tissue factor-dependent coagulation in thrombosis and immune responsesR35HL155657 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Nigel Mackman · 2021 to 2026
$5.5M
Clonal Hematopoiesis in a Biracial PopulationK08HL159290 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Radhika Gangaraju · 2022 to 2026
$820k
NHLBI NIH HHS K08 HL159290NHLBI NIH HHS R35 HL155657
6 · The paper itself

Abstract

backgroundCoagulopathy and associated bleeding and deep vein thrombosis (DVT) are major causes of morbidity and mortality in patients with acute leukemia. The underlying mechanisms of these complications have not been fully elucidated.

objectivesTo evaluate the associations between biomarker levels and bleeding and DVT in acute leukemia patients.

methodsWe examined plasma levels of activators, inhibitors, and biomarkers of the coagulation and fibrinolytic pathways in patients aged ≥18 years with newly diagnosed acute leukemia compared with those of normal controls. Multivariable regression models were used to examine the association of biomarkers with bleeding and DVT in acute leukemia patients. The study included 358 patients with acute leukemia (29 with acute promyelocytic leukemia [APL], 253 with non-APL acute myeloid leukemia, and 76 with acute lymphoblastic leukemia) and 30 normal controls.

resultsPatients with acute leukemia had higher levels of extracellular vesicle tissue factor (EVTF) activity, phosphatidylserine-positive extracellular vesicles, plasminogen activator inhibitor-1, plasmin-antiplasmin complexes, and cell-free DNA and lower levels of citrullinated histone H3-DNA complexes compared with normal controls. APL patients had the highest levels of EVTF activity and the lowest levels of tissue plasminogen activator among acute leukemia patients. There were 41 bleeding and 23 DVT events in acute leukemia patients. High EVTF activity was associated with increased risk of bleeding (subdistribution hazard ratio, 2.30; 95% CI, 0.99-5.31), whereas high levels of plasminogen activator inhibitor-1 were associated with increased risk of DVT (subdistribution hazard ratio, 3.00; 95% CI, 0.95-9.47) in these patients.

conclusionOur study shows alterations in several biomarkers in acute leukemia and identifies biomarkers associated with risk of bleeding and DVT.

Indexed as

BiomarkersBlood CoagulationHemorrhageLeukemia, Myeloid, AcuteVenous ThromboembolismAdultAgedCase-Control StudiesFemaleHistonesHumansLeukemia, Promyelocytic, AcuteMaleMiddle AgedPhosphatidylserinesPlasminogen Activator Inhibitor 1BiomarkersHistonesPhosphatidylserinesPlasminogen Activator Inhibitor 1Thromboplastinacute leukemiabiomarkerbleedingdeep vein thrombosisdisseminated intravascular coagulation

Identifiers

PMID38574862
PMCPMC11214882
OpenAlexW4393408731

What OpenQuestion holds

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LicenceTDM
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.