Evidence map›Paper›PMID 26475410›Full record

ArticleThrombosis research2015

Prospective evaluation of protein C and factor VIII in prediction of cancer-associated thrombosis.

A J Tafur, G Dale, M Cherry, J D Wren, A S Mansfield, P Comp, S Rathbun, J A Stoner

Open access · greenAbstract read
In one paragraph

Article in Thrombosis research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. The pathogenesis of cancer-associated thrombosis.International journal of hematology · 2024
    Review
  4. Article
  5. 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

8 authors at 3 institutions in 1 country.

A J TafurDepartment of Medicine - Cardiology-Vascular Section, University of Oklahoma Health Sciences Center, United States. Electronic address: ATafur@Northshore.org.
G DaleDepartment of Medicine - Cardiology-Vascular Section, University of Oklahoma Health Sciences Center, United States.
M CherryDepartment of Medicine - Hematology-Oncology section, University of Oklahoma Health Sciences Center, United States.
J D WrenArthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, United States.
A S MansfieldDepartment of Oncology, Division of Medical Oncology, Mayo Clinic Rochester, United States.
P CompDepartment of Medicine - Hematology-Oncology section, University of Oklahoma Health Sciences Center, United States.
S RathbunDepartment of Medicine - Cardiology-Vascular Section, University of Oklahoma Health Sciences Center, United States.
J A StonerDepartment of Biostatistics and Epidemiology, College of Public Health, University of Oklahoma Health Sciences Center, United States.
University of Oklahoma Health Sciences Center · USMayo Clinic · USOklahoma Medical Research Foundation · US

Funding

Tracking and Evaluation CoreU54GM104938 · NIGMS · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Robert Hal Scofield · 2013 to 2026
$68.2M
NIGMS NIH HHS 1 U54GM104938NIGMS NIH HHS U54 GM104938
6 · The paper itself

Abstract

Venous thromboembolism (VTE) is a preventable disease, yet it is one of the leading causes of death among patients with cancer. Improving risk stratification mechanisms will allow us to personalize thrombo-prophylaxis strategies. We sought to evaluate Collagen and Thrombin Activated Platelets (COAT-platelets) as well as protein C and factor VIII as biomarkers predictive of cancer-associated thrombosis in a prospective cohort of patients with cancer. Protein C was selected as a candidate based on bioinformatics prediction. Blood samples were collected before chemotherapy. All specimen processing was blinded to clinical data. Surveillance and adjudication of the main outcome of VTE was performed for up to 1 year. We used Cox proportional hazard regression to measure the association of biomarkers and incident events using SAS 9.2 for all statistical analysis. Death was modeled as a competing event. Among 241 patients followed for an average of 10.4 months, 15% died and 13% developed a VTE. COAT-platelets were not predictive of VTE. Low levels of pre-chemotherapy protein C (<118%) (HR 2.5; 95% CI 1.1-5.5) and high baseline factor VIII (>261% I) (HR 3.0; 95% CI 1.1-8.0) were predictive of VTE after adjusting for age, Khorana prediction risk, metastatic disease and D dimer. In addition, low protein C was predictive of overall mortality independent of age, metastatic disease and functional status (HR 2.8; 95% CI 1.3-6.0). Addition of these biomarkers to cancer-VTE risk prediction models may add to risk stratification and patient selection to optimize thrombo-prophylaxis.

Indexed as

AgedFactor VIIIFemaleHumansMaleMiddle AgedNeoplasmsPlatelet ActivationProportional Hazards ModelsProspective StudiesProtein CVenous ThromboembolismFactor VIIIProtein CBioinformaticsBiomarkersCancerVenous thromboembolism

Identifiers

PMID26475410
PMCPMC4679511
OpenAlexW1856935598

What Socratic 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 Socratic graph.