Evidence map›Paper›PMID 35898299›Full record

ArticleInternational journal of general medicine2022

Correlation of Inflammation and Coagulation Markers with the Incidence of Deep Vein Thrombosis in Cancer Patients with High Risk of Thrombosis.

Budi Setiawan, Widi Budianto, Tri Wahyu Sukarnowati, Daniel Rizky, Eko Adhi Pangarsa, Damai Santosa, Rahajuningsih Dharma Setiabudy, Catharina Suharti

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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  4. Observational
  5. CombiningBiomedical reports · 2024
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  10. Relationship between SUVmax on 18F-FDG PET and PD-L1 expression in hepatocellular carcinoma.European journal of nuclear medicine and molecular imaging · 2023
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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

8 authors at 2 institutions in 1 country.

Budi SetiawanHematology-Medical Oncology Division, Internal Medicine Department, Faculty of Medicine, Diponegoro University/Dr. Kariadi Hospital, Semarang, Indonesia.ORCID 0000-0002-8654-6746
Widi BudiantoHematology-Medical Oncology Division, Internal Medicine Department, Faculty of Medicine, Diponegoro University/Dr. Kariadi Hospital, Semarang, Indonesia.
Tri Wahyu SukarnowatiHematology-Medical Oncology Division, Internal Medicine Department, Faculty of Medicine, Diponegoro University/Dr. Kariadi Hospital, Semarang, Indonesia.
Daniel RizkyHematology-Medical Oncology Division, Internal Medicine Department, Faculty of Medicine, Diponegoro University/Dr. Kariadi Hospital, Semarang, Indonesia.ORCID 0000-0003-0176-7310
Eko Adhi PangarsaHematology-Medical Oncology Division, Internal Medicine Department, Faculty of Medicine, Diponegoro University/Dr. Kariadi Hospital, Semarang, Indonesia.ORCID 0000-0001-5003-1292
Damai SantosaHematology-Medical Oncology Division, Internal Medicine Department, Faculty of Medicine, Diponegoro University/Dr. Kariadi Hospital, Semarang, Indonesia.ORCID 0000-0002-6093-5049
Rahajuningsih Dharma SetiabudyClinical Pathology Department, Faculty of Medicine, University of Indonesia, Jakarta, Indonesia.
Catharina SuhartiHematology-Medical Oncology Division, Internal Medicine Department, Faculty of Medicine, Diponegoro University/Dr. Kariadi Hospital, Semarang, Indonesia.ORCID 0000-0001-9755-893X
Diponegoro University · IDUniversity of Indonesia · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Deep vein thrombosis (DVT) is a common complication and the second leading cause of death in cancer patients. Pro-inflammatory stimuli in the cancer microenvironment induce nuclear factor kappa B (NF-κB) signaling pathway that plays an integral role in immunothrombosis mechanism. Objective: To investigate the role of inflammatory and coagulation biomarkers in the development of DVT in cancer patients with high risk of thrombosis (Khorana score ≥2). Subjects and methods: This study was a cross-sectional study at Dr. Kariadi General Hospital. The serum levels of proinflammatory cytokines, ie, NF-κB, interleukin-6 (IL-6), C-reactive protein (CRP), tumor necrosis factor-alpha (TNF-α), and coagulation biomarkers, ie, tissue factor (TF), prothrombin fragment F1+2 (F1+2), fibrinogen and D-dimer were measured in newlydiagnosed cancer patients with a highrisk of thrombosis. Color duplex sonography was used for DVT screening. Results: From January to November 2021, there were 83 eligible patients. DVT was confirmed in 8 subjects (9.63%). Univariate analysis revealed a significant difference between the median age of patients with DVT compared to non-DVT patients, 49.5 years (range: 23-60 years) and 42 years (range: 19-60 years), with p=0.046. D-dimer level was higher in DVT patients [(6.020 µg/L, range 2.090-20.000) vs (1.940 µg/L, range 270-20.000), p=0.005]. Multivariate analysis revealed age and D-dimer were significantly correlated with DVT incidence. In all patients, there were significant positive correlations between several inflammatory and coagulation activation parameters, which were IL-6 with D-dimer and F1+2, CRP with F1+2 and D-dimer as well as TNF-α with F1+2. However, these findings were not shown in DVT patients. Conclusion: In cancer patients with a high risk of thrombosis, age and D-dimer level are the significant variables towards the incidence of DVT. In patients with DVT, there was no significant correlation between inflammatory and coagulation activation parameters.

Indexed as

activation of coagulationcancer patientsDVThigh-risk thrombosisinflammation

Identifiers

PMID35898299
PMCPMC9309563
OpenAlexW4285735424

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Registered trials

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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.