Evidence map›Paper›PMID 30145085›Full record

ArticleJournal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia2018

Ability of the Khorana score to predict recurrent thromboembolism in cancer patients with ischemic stroke.

Santosh B Murthy, Mary Cushman, Dylan Bobrow, Hooman Kamel, Alexander E Merkler, Mitchell S V Elkind, Lisa M DeAngelis, Babak B Navi

Abstract read
In one paragraph

Article in Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. A Risk of Venous Thromboembolism Algorithm as a Predictor of Venous Thromboembolism in Patients with Colorectal Cancer.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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 5 institutions in 1 country.

Santosh B MurthyDepartment of Neurology, Weill Cornell Medicine, New York, NY, USA; Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA.
Mary CushmanDepartment of Medicine, University of Vermont College of Medicine, Burlington, VT, USA.
Dylan BobrowDepartment of Neurology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Hooman KamelDepartment of Neurology, Weill Cornell Medicine, New York, NY, USA; Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA.
Alexander E MerklerDepartment of Neurology, Weill Cornell Medicine, New York, NY, USA; Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA.
Mitchell S V ElkindDepartment of Neurology, Columbia University College of Physicians and Surgeons, New York, NY, USA; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Lisa M DeAngelisDepartment of Neurology, Weill Cornell Medicine, New York, NY, USA; Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA; Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Babak B NaviDepartment of Neurology, Weill Cornell Medicine, New York, NY, USA; Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA; Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Electronic address: ban9003@med.cornell.edu.
MIND Research Institute · USColumbia University · USCornell University · USMemorial Sloan Kettering Cancer Center · USUniversity of Vermont · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Cancer And Risk Of Ischemic StrokeK23NS091395 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI NAVI, BABAK BENJAMIN · 2015 to 2019
$945k
Atrial Fibrillation Precursors May Be Novel Stroke Risk FactorsK23NS082367 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI KAMEL, HOOMAN · 2013 to 2017
$937k
COMPARATIVE ANALYSIS OF COMPLEX SIGNAL REPERTIORESF32NS009744 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LANGEN, TOM A · 1994 to 1996
–
NCI NIH HHS P30 CA008748NINDS NIH HHS F32 NS009744NINDS NIH HHS K23 NS082367NINDS NIH HHS K23 NS091395
6 · The paper itself

Abstract

Cancer patients with acute ischemic stroke (AIS) are high-risk for recurrent thromboembolic events (RTE). Currently, no risk stratification model exists to predict RTE in this population. We tested the hypothesis that the Khorana score, a validated risk model for predicting venous thromboembolism in cancer patients, can effectively classify RTE risk in cancer patients with AIS. We retrospectively identified adults with active solid or hematological cancer diagnosed with AIS at a tertiary-care cancer center from 2005 to 2010. The Khorana score at the time of index stroke was calculated. The primary outcome was arterial or venous RTE. Cox regression was used to evaluate the association of the Khorana score and its individual components with RTE. Harrell's c-statistic was used to calculate the score's discriminatory ability. Among 263 AIS patients, median survival was 84 days (IQR 24-149 days) and 90 (34%) had RTE. The median Khorana score was 2 (IQR 1-2, range 0-5). Cumulative rate of RTE was 28% among patients who scored 0, 36% with scores of 1-2, and 32% with scores of 3-6. The overall Khorana score was marginally associated with RTE (HR, 1.14; 95% CI, 1.02-1.28). Of its individual components, only leukocytosis was associated with RTE (HR adjusted for other components, 1.45; 95% CI 1.11-1.90). The score's c-statistic for predicting RTE was 0.57. In this study, the Khorana score had poor discriminatory ability for predicting RTE in cancer patients with AIS. Future research is needed to identify better methods for predicting RTE in this high-risk population.

Indexed as

AdultAgedBrain IschemiaFemaleHumansMaleMiddle AgedNeoplasmsRecurrenceRetrospective StudiesRisk FactorsSeverity of Illness IndexStrokeTertiary Care CentersVenous ThromboembolismCancerMalignancyPrediction scoreStrokeThromboembolism

Identifiers

PMID30145085
PMCPMC6191324
OpenAlexW2888482854

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.