Evidence map›Paper›PMID 37430158›Full record

ArticleJournal of thrombosis and thrombolysis2023

COMPASS-CAT versus Khorana risk assessment model for predicting venous thromboembolic events in patients with non-small cell lung cancer on active treatment with chemotherapy and/or immunotherapy, the CK-RAM study.

Hikmat Abdel-Razeq, Baha' Sharaf, Mohammed J Al-Jaghbeer, Hala Abu-Fares, Rayan Bater, Moataz Abu Shaer, Hala Abu-Jaish, Dima Abu Laban, Osama Salamah, Faris Tamimi and 4 more

Abstract read
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Article in Journal of thrombosis and thrombolysis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

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  8. Review
  9. POLE: Development and Validation of a Pulmonary Embolism Prediction Model in Lung 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

14 authors at 4 institutions in 2 countries.

Hikmat Abdel-RazeqDepartment of Internal Medicine, King Hussein Cancer Center, Amman, Jordan. habdelrazeq@khcc.jo.ORCID http://orcid.org/0000-0003-2833-6051
Baha' SharafDepartment of Internal Medicine, King Hussein Cancer Center, Amman, Jordan.
Mohammed J Al-JaghbeerRespiratory Institute - Cleveland Clinic Foundation, Cleveland, OH, USA.
Hala Abu-FaresDepartment of Internal Medicine, King Hussein Cancer Center, Amman, Jordan.
Rayan BaterDepartment of Internal Medicine, King Hussein Cancer Center, Amman, Jordan.
Moataz Abu ShaerDepartment of Internal Medicine, King Hussein Cancer Center, Amman, Jordan.
Hala Abu-JaishSchool of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Dima Abu LabanDepartment of Radiology, King Hussein Cancer Center, Amman, Jordan.
Osama SalamahDepartment of Internal Medicine, King Hussein Cancer Center, Amman, Jordan.
Faris TamimiDepartment of Internal Medicine, King Hussein Cancer Center, Amman, Jordan.
Khalid AshouriDepartment of Internal Medicine, King Hussein Cancer Center, Amman, Jordan.
Tareq SalamehDepartment of Internal Medicine, King Hussein Cancer Center, Amman, Jordan.
Raed ZughulDepartment of Internal Medicine, King Hussein Cancer Center, Amman, Jordan.
Yazan AlhalasehDepartment of Internal Medicine, King Hussein Cancer Center, Amman, Jordan.
King Hussein Cancer Center · JOCleveland Clinic · USJordan University of Science and Technology · JOUniversity of Jordan · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer patients are at higher risk for venous thromboembolism (VTE). Several risk assessment models (RAM), including the Khorana and COMPASS-CAT, were developed to help predict the occurrence of VTE in cancer patients on active anti-cancer therapy. We aim to study the prevalence and predictors of VTE among patients with non-small cell lung cancer (NSCLC) and compare both RAMs in predicting VTE in patients with NSCLC were retrospectively reviewed. Variables known to increase the risk of VTE were collected and risk of VTE was assessed using both Khorana and COMPASS-CAT RAM. A total of 508 patients (mean age ± SD, 58.4 ± 12.2 years) were enrolled. Most (n = 357, 70.3%) patients had adenocarcinoma, and 333 (65.6%) patients had metastatic disease. VTE were confirmed in 76 (15.0%) patients. Rates were higher among patients with metastatic disease (19.8%, p < 0.001), adenocarcinoma (17.4%, p = 0.01) and those treated with immunotherapy (23.5%, p = 0.014). VTE rates were 21.2%, 14.1% and 13.9% among those with high (n = 66), intermediate (n = 341) and low (n = 101) Khorana risk scores, respectively (p = 0.126). On the other hand, 190 (37.4%) were classified as high risk by the COMPASS-CAT RAM; 52 (27.4%) of them had VTE compared to 24 (7.5%) of the remaining 318 (62.6%) classified as Low/Intermediate risk level, p < 0.001. In conclusion, patients with NSCLC are at high risk for VTE, especially those with adenocarcinoma, metastatic disease and when treated with immunotherapy. Compared to Khorana RAM, COMPASS-CAT RAM was better in identifying more patients in high-risk group, with higher VTE rate.

Indexed as

AdenocarcinomaCarcinoma, Non-Small-Cell LungLung NeoplasmsVenous ThromboembolismVenous ThrombosisHumansImmunotherapyRetrospective StudiesRisk AssessmentRisk FactorsCancerCOMPASS-RAMDVTKhorana risk scorePEVenous thromboembolismVTE

Identifiers

PMID37430158
OpenAlexW4383740742

What OpenQuestion holds

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Read underepoch 390

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.