The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.
Biomarkers for prediction of venous thromboembolism in cancer
Abstract
Cancer patients are at increased risk of deep vein thrombosis and pulmonary embolism. The incidence among different groups of cancer patients varies considerably depending on clinical factors, the most important being tumor entity and stage. Biomarkers have been specifically investigated for their capacity of predicting venous thromboembolism (VTE) during the course of disease. Parameters of blood count analysis (elevated leukocyte and platelet count and decreased hemoglobin) have turned out to be useful in risk prediction. Associations between elevated levels and future VTE have been found for d-dimer, prothrombin fragment 1+2, and soluble P-selectin and also for clotting factor VIII and the thrombin generation potential. The results for tissue factor–bearing microparticles are heterogeneous: an association with occurrence of VTE in pancreatic cancer might be present, whereas in other cancer entities, such as glioblastoma, colorectal, or gastric carcinoma, this could not be confirmed. Risk assessment models were developed that include clinical and laboratory markers. In the high-risk categories, patient groups with up to a >20% VTE rate within 6 months can be identified. A further improvement in risk stratification would allow better identification of patients for primary VTE prevention using indirect or novel direct anticoagulants.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Inflammation and cancer: back to Virchow?
Balkwill, F., & Mantovani, A. (2001) · The Lancet · doi:10.1016/s0140-6736(00)04046-0 · Cited by 7,746
Development and validation of a predictive model for chemotherapy-associated thrombosis
Khorana, A. A., Kuderer, N. M., Culakova, E., Lyman, G. H., & Francis, C. W. (2008) · Blood · doi:10.1182/blood-2007-10-116327 · Cited by 2,217
Koster, T., Vandenbroucke, J. P., Rosendaal, F. R., Briët, E., Rosendaal, F. R., & Blann, A. D. (1995) · The Lancet · doi:10.1016/s0140-6736(95)90166-3 · Cited by 1,131
C-reactive protein induces human peripheral blood monocytes to synthesize tissue factor
Cermak, J., Key, N., Bach, R., Balla, J., Jacob, H., & Vercellotti, G. (1993) · Blood · doi:10.1182/blood.v82.2.513.513 · Cited by 839
Prediction of venous thromboembolism in cancer patients
Ay, C., Dunkler, D., Marosi, C., Chiriac, A.-L., Vormittag, R., Simanek, R., Quehenberger, P., Zielinski, C., & Pabinger, I. (2010) · Blood · doi:10.1182/blood-2010-02-270116 · Cited by 772
Self-citationHigh plasma levels of factor VIII and the risk of recurrent venous thromboembolism
Kyrle, P. A., Minar, E., Hirschl, M., Bialonczyk, C., Stain, M., Schneider, B., Weltermann, A., Speiser, W., Lechner, K., & Eichinger, S. (2000) · New England Journal of Medicine · doi:10.1056/nejm200008173430702 · Cited by 763 · cited 1×
“232%, which corresponds to the 95th percentile of the normal Austrian population.(76) C-reactive protein (CRP), which is an acute phase protein, induces TF expression on moncytes,(9,81) smooth muscle cells, and endothelial cells.”
BackgroundPober, J. S., Bevilacqua, M. P., Mendrick, D. L., Lapierre, L. A., Fiers, W., & Gimbrone, M. A. (1986) · The Journal of Immunology · doi:10.4049/jimmunol.136.5.1680 · Cited by 736
Antimetastatic effects associated with platelet reduction.
Gasic, G. J., Gasic, T. B., & Stewart, C. C. (1968) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.61.1.46 · Cited by 720
d -Dimer Testing to Determine the Duration of Anticoagulation Therapy
Palareti, G., Cosmi, B., Legnani, C., Tosetto, A., Brusi, C., Iorio, A., Pengo, V., Ghirarduzzi, A., Pattacini, C., Testa, S., et al. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa054444 · Cited by 622
Cited by
Mazzolai, L., Aboyans, V., Ageno, W., Agnelli, G., Alatri, A., Bauersachs, R., Brekelmans, M. P. A., Büller, H. R., Elias, A., Farge, D., et al. (2018) · European Heart Journal · doi:10.1093/eurheartj/ehx003 · Cited by 402
Metadata
- Authors
- Pabinger, I., Thaler, J., & Ay, C.
- Venue
- Blood
- Publisher
- American Society of Hematology
- Published
- 2013-09-19
- Volume
- 122
- Issue
- 12
- Pages
- 2011-2018
- ISSN
- 0006-4971 (ISSN-L)
- 1528-0020
- OpenAlex
- W2088096858
- Cited by
- 256
- References
- 88
- FWCI
- 22.65
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Biomarkers for prediction of venous thromboembolism in cancer. https://app.cochat.ai/papers/10.1182/blood-2013-04-460147
- The paper
- Pabinger, I., Thaler, J., & Ay, C. (2013). Biomarkers for prediction of venous thromboembolism in cancer. Blood. https://doi.org/10.1182/blood-2013-04-460147
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
