Evidence map›Paper›PMID 35028491›Full record

ArticleResearch and practice in thrombosis and haemostasis2022

Evaluation of the Khorana score for prediction of venous thromboembolism in patients with multiple myeloma.

Kristen M Sanfilippo, Kenneth R Carson, Tzu-Fei Wang, Suhong Luo, Natasha Edwin, Nicole Kuderer, Jesse M Keller, Brian F Gage

Open access · goldAbstract read
In one paragraph

Article in Research and practice in thrombosis and haemostasis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
5.6field-weighted citation impact, top 3% 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

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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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

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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

8 authors at 4 institutions in 2 countries.

Kristen M SanfilippoWashington University School of Medicine in St. Louis St. Louis Missouri USA.ORCID https://orcid.org/0000-0002-0433-7845
Kenneth R CarsonRush University Medical Center Chicago Illinois USA.
Tzu-Fei WangUniversity of Ottawa at The Ottawa Hospital and Ottawa Hospital Research Institute Ottawa Ontario Canada.ORCID https://orcid.org/0000-0003-2407-9000
Suhong LuoWashington University School of Medicine in St. Louis St. Louis Missouri USA.
Natasha EdwinThedaCare Regional Cancer Center Appleton Wisconsin USA.
Nicole KudererAdvanced Cancer Research Group Kirkland Washington USA.ORCID https://orcid.org/0000-0002-9263-8540
Jesse M KellerWashington University School of Medicine in St. Louis St. Louis Missouri USA.
Brian F GageWashington University School of Medicine in St. Louis St. Louis Missouri USA.
Washington University in St. Louis · USRush University Medical Center · USThedaCare · USUniversity of Ottawa · CA

Funding

CLINICAL HEMATOLOGY RESEARCH CAREER DEVELOPMENT PROGRAM AT WASHINGTON UNIVERSITYK12HL087107 · NHLBI · WASHINGTON UNIVERSITY · PI SADLER, J EVAN · 2006 to 2016
$3.8M
Prediction and Prevention of Venous Thromboembolism in Multiple MyelomaK01HL136893 · NHLBI · WASHINGTON UNIVERSITY · PI SANFILIPPO, KRISTEN MARIE · 2017 to 2019
$484k
NHLBI NIH HHS K01 HL136893NHLBI NIH HHS K12 HL087107
6 · The paper itself

Abstract

backgroundGuidelines recommend thromboprophylaxis for patients with multiple myeloma (MM) at high risk for venous thromboembolism (VTE). However, the optimal risk prediction model for VTE in MM remains unclear. Khorana et al developed a VTE risk score (Khorana score) in ambulatory cancer patients receiving chemotherapy. We aimed to evaluate the predictive ability of the Khorana score in patients with MM.

methodsWe identified patients with MM within the Veterans Affairs health care system between 2006 and 2013. The Khorana score was calculated before treatment initiation. Using logistic regression, the relationship between risk group and VTE was assessed at 3 and 6 months. We tested model discrimination using the concordance statistic.

resultsIn the cohort of 2870 patients with MM, there were 1328 at low risk (0 points), 1521 at intermediate risk (1-2 points), and 21 at high risk (≥3 points) for VTE by the Khorana score. The 6-month cumulative incidence of VTE was 5.1% (95% confidence interval [CI], 4.0%-6.4%) in low risk, 3.9% (95% CI, 3.0%-5.0%) in intermediate risk, 4.8% (95% CI, 0.3%-20.2%) in high risk. The Khorana score did not strongly discriminate between patients who did and did not develop VTEs at 3 or 6 months (concordance statistic, 0.58; 95% CI, 0.54-0.63; and 0.53, 95% CI, 0.50-0.57, respectively.

conclusionsIn conclusion, in this cohort of 2870 patients with MM, the Khorana score did not predict VTE. Our study supports the need to use myeloma-specific risk models to predict VTE risk in patients with MM.

Indexed as

cancer‐associated thrombosisKhorana scoremultiple myelomarisk predictionvenous thromboembolism

Identifiers

PMID35028491
PMCPMC8742966
OpenAlexW4206575496

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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.