Evidence map›Paper›PMID 28884610›Full record

ArticleClinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis2018

Performance of Current Thromboembolism Risk Assessment Tools in Patients With Gastric Cancer and Validity After First Treatment.

Harry E Fuentes, L H Paz, Y Wang, D M Oramas, C R Simons, A J Tafur

Abstract read
In one paragraph

Article in Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  9. Mechanisms and biomarkers of cancer-associated thrombosis.Translational research : the journal of laboratory and clinical medicine · 2020
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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

6 authors.

Harry E Fuentes1 Department of Internal Medicine, John H. Stroger, Jr. Hospital of Cook County, Chicago, IL, USA.
L H Paz1 Department of Internal Medicine, John H. Stroger, Jr. Hospital of Cook County, Chicago, IL, USA.
Y Wang1 Department of Internal Medicine, John H. Stroger, Jr. Hospital of Cook County, Chicago, IL, USA.
D M Oramas2 Department of Pathology, University of Illinois at Chicago, Chicago, IL, USA.
C R Simons1 Department of Internal Medicine, John H. Stroger, Jr. Hospital of Cook County, Chicago, IL, USA.
A J Tafur3 Cardiology-Vascular Medicine, Northshore University Healthsystem, Evanston, IL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with gastric cancer (GC) are at higher risk of thromboembolism when compared to other solid tumors. We aim to determine the predictive performance of current venous thromboembolism (VTE) predictive tools and their variability and validity after first treatment. Single institution cohort of GC-treated patients (2010*15). We abstracted predictive tools, validated for VTE prediction in patient with cancer; including the Khorana Score (KRS), platelet to lymphocyte ratio (PLR), and neutrophil to lymphocyte ratio (NLR). The primary outcome was CAT prediction. We included 112 patients who were predominantly men (66%), 58 (51-64)-year-olds, with adenocarcinoma (84%) and advanced disease (59%). The median follow-up was 21.3 months (9.5-42.6). The VTE occurrence was 12%. The median time from diagnosis to VTE occurrence was 59 days (36-258). In our cohort, performance status (PS; hazard ratio [HR], 8.02; 95% confidence interval [CI], 2.37-27.14; P < .01) was an independent predictor of VTE whereas KRS (univariate HR, 2.3; 95% CI, 0.7-7.4; P = .17), PLR (univariate HR, 0.8; 95% CI, 0.2-3.1; P = .8), and NLR (univariate HR, 0.8; 95% CI, 0.3-2.5; P = .8) at baseline were not associated with VTE risk. The posttreatment KRS was an independent predictor of VTE (HR, 3.69; 95% CI, 1.17-11.65; P = .25) along with PS (HR, 7.58; 95% CI, 2.27-25.33; P = .01). Posttreatment KRS appears as a valid tool to identify patients with GC at high risk of VTE after first cancer treatment.

Indexed as

Risk AssessmentBlood PlateletsCell CountFemaleHumansLymphocytesMaleMiddle AgedNeutrophilsStomach NeoplasmsVenous Thromboembolismcancer-associated thrombosisgastric cancerKhorana Scorerisk assessment model

Identifiers

PMID28884610
PMCPMC6714876

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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.