Evidence map›Paper›PMID 32954653›Full record

ArticleCancer medicine2020

Cancer associated thrombosis and mortality in patients with cancer stratified by khorana score risk levels.

Alok A Khorana, Nicole M Kuderer, Keith McCrae, Dejan Milentijevic, Guillaume Germain, François Laliberté, Sean D MacKnight, Patrick Lefebvre, Gary H Lyman, Michael B Streiff

Abstract readComparative Study
In one paragraph

Article in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Impact of COVID-19 in the incidence of venous thromboembolism (VTE) and clinical outcomes in cancer patients: a cohort study.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Article
  7. Article
  8. Chronological pattern of venous thromboembolism (VTE) occurrence impacts in survival of pancreatic ductal adenocarcinoma (PDAC).Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Article
  9. Article
  10. The pathogenesis of cancer-associated thrombosis.International journal of hematology · 2024
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. The Role of KRAS Mutation in Colorectal Cancer-Associated Thrombosis.International journal of molecular sciences · 2023
    Article
  16. Article
  17. Review
  18. Article
  19. Mechanisms of cancer-associated thrombosis.Research and practice in thrombosis and haemostasis · 2023
    Article
  20. 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

10 authors.

Alok A KhoranaCleveland Clinic, Cleveland, OH, USA.
Nicole M KudererAdvanced Cancer Research Group, Seattle, WA, USA.
Keith McCraeCleveland Clinic, Cleveland, OH, USA.
Dejan MilentijevicJanssen Scientific Affairs, LLC, Titusville, NJ, USA.
Guillaume GermainGroupe d'analyse, Ltée, Montreal, QC, Canada.ORCID 0000-0002-4525-7673
François LalibertéGroupe d'analyse, Ltée, Montreal, QC, Canada.
Sean D MacKnightGroupe d'analyse, Ltée, Montreal, QC, Canada.
Patrick LefebvreGroupe d'analyse, Ltée, Montreal, QC, Canada.
Gary H LymanFred Hutchinson Cancer Research Center, and University of Washington, Seattle, WA, USA.
Michael B StreiffDivision of Hematology, Department of Medicine, John Hopkins University School of Medicine, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Khorana score (KS) clinical algorithm is used to predict VTE risk in cancer patients. The study objective was to evaluate VTE and survival rates among patients newly diagnosed with cancer and stratified by KS in a real-world population.

methodsData from the Optum

resultsA total of 2,488 (KS = 0); 2,125 (KS = 1), 1,074 (KS = 2), and 507 (KS ≥ 3) cancer patients were included. The 12-month KM rates of VTE were 3.1%, 5.4%, 7.9%, and 14.9% (associated median time to VTE of 2.7, 3.0, 1.4, and 1.7 months) among KS = 0, 1, 2, and ≥ 3 cohorts, respectively. Corresponding adjusted hazard ratios (95% CIs) relative to the KS = 0 cohort were 1.72 (1.25-2.38), 2.46 (1.73-3.50), and 4.99 (3.40-7.31) for the KS = 1, 2, and ≥ 3 cohorts, respectively (all P < .001). Regardless of KS, patients with VTE had significantly lower survival rates than those without.

conclusionsThis real-world claims-based cohort study of newly diagnosed cancer patients showed significantly higher rates of VTE with increased KS, confirming its predictive ability. Moreover, VTE was associated with lower survival rates within each KS cohort.

Indexed as

Decision Support TechniquesAgedAged, 80 and overAlgorithmsDatabases, FactualFemaleHumansMaleMiddle AgedNeoplasmsPrognosisRetrospective StudiesRisk AssessmentRisk FactorsTime FactorsVenous ThromboembolismCancerclinical cancer researchmedical oncologyrisk assessmentrisk modelVenous thromboembolism

Identifiers

PMID32954653
PMCPMC7643641

What OpenQuestion holds

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LicenceCC BY
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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.