Evidence map›Paper›PMID 23522921›Full record

ReviewCritical reviews in oncology/hematology2013

Biomolecular markers of cancer-associated thromboembolism.

Diana L Hanna, Richard H White, Ted Wun

Abstract readReview
In one paragraph

Review in Critical reviews in oncology/hematology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 35 citations in OpenAlex.

  1. Observational
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Coagulation Biomarkers in Healthy Chinese-Origin Rhesus Macaques (Macaca mulatta).Journal of the American Association for Laboratory Animal Science : JAALAS · 2016
    Article
  16. Cancer and Thrombosis: The Platelet Perspective.Frontiers in cell and developmental biology · 2016
    Review
  17. Venous thrombosis and cancer: from mouse models to clinical trials.Journal of thrombosis and haemostasis : JTH · 2015
    Review
  18. Article
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

3 authors at 2 institutions in 1 country.

Diana L HannaDivision of Hematology and Oncology, UC Davis Cancer Center, Sacramento, CA 95817, United States.
Richard H White
Ted Wun
UC Davis Comprehensive Cancer CenterUniversity of California, Davis · US

Funding

UC Davis Clinical and Translational Science CenterKL2TR000134 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BERGLUND, LARS F · 2012 to 2015
$3.1M
NCATS NIH HHS KL2 TR000134
6 · The paper itself

Abstract

Venous thromboembolism (VTE; deep venous thrombosis and pulmonary embolism) is associated with a poor prognosis in most malignancies and is a major cause of death among cancer patients. Universal anticoagulation for primary thromboprophylaxis in the outpatient setting is precluded by potential bleeding complications, especially without sufficient evidence that all patients would benefit from such prophylaxis. Therefore, appropriately targeting cancer patients for thromboprophylaxis is key to reducing morbidity and perhaps mortality. Predictive biomarkers could aid in identifying patients at high risk for VTE. Possible biomarkers for VTE include C-reactive protein, platelet and leukocyte counts, D-dimer and prothrombin fragment 1+2, procoagulant factor VIII, tissue factor, and soluble P-selectin. Evidence is emerging to support the use of risk assessment models in selecting appropriate candidates for primary thromboprophylaxis in the cancer setting. Further studies are needed to optimize these models and determine utility in reducing morbidity and mortality from cancer-associated thromboembolism.

Indexed as

BiomarkersHumansModels, StatisticalNeoplasmsRiskVenous ThromboembolismBiomarkersBiomarkersCancer-associated thromboembolismLeukocytosisRisk modelsThrombocytosisThromboprophylaxis

Identifiers

PMID23522921
PMCPMC3742654
OpenAlexW2058272324

What OpenQuestion holds

Textmetadata
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.