ReviewClinical Medicine Insights. Oncology2023
Stratification of Risk Factors of Lung Cancer-Associated Venous Thromboembolism and Determining the Critical Point for Preemptive Intervention: A Systematic Review With Meta-analysis.
Review in Clinical Medicine Insights. Oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 5 of them syntheses that pooled it.
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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.
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.
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Who cites it
11 citing papers in PubMed, 5 syntheses or guidelines pooled it, 16 citations in OpenAlex.
- Development of a high-performing, cost-effective and inclusive Afrocentric predictive model for stroke: a meta-analysis approach.BMC neurology · 2025Pooled it
- Characterization and stratification of risk factors of stroke in people living with HIV: A theory-informed systematic review.BMC cardiovascular disorders · 2025Pooled it
- Characterization and risk stratification of coronary artery disease in people living with HIV: a global systematic review.Frontiers in cardiovascular medicine · 2025Pooled it
- Developing an HIV-specific falls risk prediction model with a novel clinical index: a systematic review and meta-analysis method.BMC infectious diseases · 2024Pooled it
- Association between Pre-Operative Total Prostate-Specific Antigen and Survivorship of Prostate Cancer following Radical Prostatectomy: A Systematic Review.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2024Pooled it
- Risk stratification of hypertension in South Africa: a systematic review with meta-analysis.Frontiers in cardiovascular medicine · 2026Review
- Construction and validation of a risk prediction model for venous thromboembolism post-VATS in simultaneous multicentric primary lung cancers.Journal of thoracic disease · 2025Article
- Developing and Validating an Inclusive and Cost-Effective Prediction Algorithm for Survival and Death Among People Living With HIV in Sub-Saharan Africa: Protocol for a Meta-Analysis and Case-Control and Cost-Effectiveness Study.JMIR research protocols · 2025Article
- Association between socio-demographic and injury factors, and physical activity behaviour in people with spinal cord injury: a theory-informed systematic review and meta-analysis.BMC sports science, medicine & rehabilitation · 2025Article
- Effectiveness of visual management health education in preventing venous thromboembolism in patients with complete occlusion of chronic coronary arteries.Journal of health, population, and nutrition · 2025Article
- Application of machine learning to predict the occurrence of venous thromboembolism in patients hospitalized for coronary artery disease: a single-center retrospective study.Frontiers in cardiovascular medicine · 2025Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Several biomarkers or risk factors have been identified and several prediction models exist. The major limitations inherent in these models include cost-ineffectiveness and lack of systematic stratification of risk factors resulting in the inclusion of clinically insignificant biomarkers in the models. This review aimed to systematically stratify the risk factors of lung cancer-associated venous thromboembolism (VTE) and determine the critical point for preemptive intervention. Methods: This systematic review was structured as per the Preferred Reporting Item for Systematic Reviews and Meta-analyses. We searched MEDLINE, PubMed, Cochrane Library, CINAHL, Academic Search Complete, and PsycINFO from the onset to June 2022. We included studies that reported the risk factors of lung cancer-associated VTE and corresponding risk estimates, irrespective of treatment status but studies were excluded if patients were on anti-VTE medications. We employed random effects models of meta-analysis and computed risk stability index and risk weight (Rw) to achieve the review objectives. The review protocol is registered with PROSPERO (CRD42022336476). Results: The clinically significant risk factors of VTE in lung cancer patients were D-dimer (odds ratio [OR] = 5.510, 95% CI = 2.6-11.7; Rw = 5.0), albumin (OR = 2.2, 95% CI = 1.0-4.8; Rw = 1.79), leukocyte (OR = 2.48, 95% CI = 1.9-3.2; Rw = 1.77), histological type (OR = 1.69 , 95% CI = 1.2-2.4; Rw = 1.3), age (OR = 1.56; Rw = 0.99), and hemoglobin (OR = 1.85, 95% CI = 1.3-2.6; Rw = 0.92). Based on the distribution of Rw across risk factors, the critical point (upper third of the upper quartile class) was 4.5 and may mark the point at which preemptive intervention should be commenced. Conclusions: Targeted screening for VTE in lung cancer patients could be patient-specific and should be based on a combination of the most significant risk factors required to meet the critical point, provided that such a combination is affordable as illustrated in the ALBAH model. Registration: The review protocol is registered with PROSPERO (ID: CRD42022336476).
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