Evidence map›Paper›PMID 32017293›Full record

ArticleThe oncologist2020

External Validation of a Venous Thromboembolic Risk Score for Cancer Outpatients with Solid Tumors: The COMPASS-CAT Venous Thromboembolism Risk Assessment Model.

Alex C Spyropoulos, Joanna B Eldredge, Lalitha N Anand, Meng Zhang, Michael Qiu, Soheila Nourabadi, David J Rosenberg

Open access · bronzeAbstract read
In one paragraph

Article in The oncologist, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 7% 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.

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  9. Unmet Needs and Challenges in Cancer-Associated Venous Thromboembolism.International journal of molecular sciences · 2026
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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

7 authors at 4 institutions in 1 country.

Alex C SpyropoulosDonald and Barbara Zucker School of Medicine at Hofstra/Northwell, Huntington, New York, USA.
Joanna B EldredgeUniversity of California at Davis Comprehensive Cancer Center, Sacramento, California, USA.ORCID 0000-0001-9084-0254
Lalitha N AnandDepartment of Medicine, Hematology and Oncology, Northwell Health Systems at Lenox Hill Hospital, New York, New York, USA.
Meng ZhangCenter for Health Innovations and Outcomes Research, Feinstein Institute for Medical Research, Manhasset, New York, USA.
Michael QiuCenter for Health Innovations and Outcomes Research, Feinstein Institute for Medical Research, Manhasset, New York, USA.
Soheila NourabadiCenter for Health Innovations and Outcomes Research, Feinstein Institute for Medical Research, Manhasset, New York, USA.
David J RosenbergCenter for Health Innovations and Outcomes Research, Feinstein Institute for Medical Research, Manhasset, New York, USA.
Health Innovations (United States) · USFeinstein Institute for Medical Research · USNorthwell Health · USUniversity of California, Davis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrent risk assessment models (RAMs) for prediction of venous thromboembolism (VTE) risk in the outpatient cancer population have shown poor predictive value in many of the most common cancers. The Comparison of Methods for Thromboembolic Risk Assessment with Clinical Perceptions and AwareneSS in Real Life Patients-Cancer Associated Thrombosis (COMPASS-CAT) RAM was derived in this patient population and predicted patients at high risk for VTE even after initiation of chemotherapy. We sought to externally validate this RAM. MATERIALS AND

methodsPatients aged ≥18 years who presented to a tertiary care center between January 1, 2014, and December 31, 2016, with invasive breast, ovarian, lung, or colorectal cancers were included. The COMPASS-CAT RAM was applied using our health system's tumor registry and variables that were identified by International Statistical Classification of Diseases and Related Health Problems-9 and -10 codes of the electronic health record and independent chart review. The primary endpoint at 6-month study follow-up was documented VTE.

resultsA total of 3,814 patients were included. Documented VTE at 6-month follow-up occurred in 5.85% of patients. Patients stratified into low/intermediate- and high-risk groups had VTE rates of 2.27% and 6.31%, respectively. The sensitivity, specificity, and negative and positive predictive value of the RAM were 95%, 12%, 97.73%, and 6.31%, respectively. Diagnostic accuracy via receiver operating characteristic curve was calculated at 0.62 of the area under the curve.

conclusionIn this large retrospective external validation study of the COMPASS-CAT RAM for VTE in patients with cancer undergoing active treatment, model discrimination was moderate and calibration was poor. The model had good negative predictive value. Further prospective validation studies-especially within 6 months of cancer diagnosis-are needed before the model can be implemented into routine clinical practice for primary thromboprophylaxis of high-VTE-risk patients with cancer with solid tumors. IMPLICATIONS FOR PRACTICE: This study provides further guidance for researchers and clinicians in determining clinical and laboratory risk factors associated with development of venous thromboembolism among the ambulatory population of patients being treated for lung, breast, colorectal, or ovarian cancer. It validates the COMPASS-CAT risk model that was developed in this cancer population and suggests that further prospective validation of the model, with more focus on patients within 6 months of their index cancer diagnosis, would likely enhance the accuracy and usefulness of this model as a clinical prediction tool.

Indexed as

NeoplasmsVenous ThromboembolismAdolescentAdultAnticoagulantsHumansOutpatientsRetrospective StudiesRisk AssessmentRisk FactorsAnticoagulantsBreast cancerCancer-associated thrombosisColorectal cancerLung cancerOvarian cancerRisk assessment modelVenous thronboembolism

Identifiers

PMID32017293
PMCPMC7356707
OpenAlexW3005163901

What OpenQuestion holds

Textmetadata
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.