SynthesisThrombosis research2020
Venous thromboembolism in patients with COVID-19: Systematic review and meta-analysis.
Synthesis in Thrombosis research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 131 papers, 7 of them syntheses that pooled 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.
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.
Who cites it
131 citing papers in PubMed, 7 syntheses or guidelines pooled it, 236 citations in OpenAlex.
- Venous thromboembolism risk in the postoperative interval during the COVID-19 pandemic: meta-analysis.BJS open · 2025Pooled it
- The collateral damage of COVID-19 to cardiovascular services: a meta-analysis.European heart journal · 2022Pooled it
- Role of anticoagulation in lowering the mortality in hospitalized covid-19 patients: Meta-analysis of available literature.Saudi medical journal · 2022Pooled it
- Venous thromboembolism in COVID-19: A systematic review and meta-analysis.Vascular medicine (London, England) · 2021Pooled it
- Thrombotic complications in 2928 patients with COVID-19 treated in intensive care: a systematic review.Journal of thrombosis and thrombolysis · 2021Pooled it
- Systematic review and meta-analysis of the prevalence of venous thromboembolic events in novel coronavirus disease-2019 patients.Journal of vascular surgery. Venous and lymphatic disorders · 2021Pooled it
- Risk of Clinically Relevant Venous Thromboembolism in Critically Ill Patients With COVID-19: A Systematic Review and Meta-Analysis.Frontiers in medicine · 2021Pooled it
- Article
- Automatic classification of circulating blood cell clusters based on multi-channel flow cytometry imaging.Engineering applications of artificial intelligence · 2026Article
- Deep Vein Thrombosis in Critically Ill Patients With COVID-19 Pneumonia: Incidence, Wells Score Diagnostic Performance, and Hospital Prognosis.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2026Observational
- Automatic Classification of Circulating Blood Cell Clusters based on Multi-channel Flow Cytometry Imaging.bioRxiv : the preprint server for biology · 2025Article
- Risk of Venous Thromboembolism in Infectious Diseases: A Literature Review.Pathogens (Basel, Switzerland) · 2025Review
- Impact of COVID-19 on Venous Thromboembolism in Inflammatory Bowel Disease Hospitalizations: A Propensity-Matched Analysis.JGH open : an open access journal of gastroenterology and hepatology · 2025Article
- Α 6-month, multicenter, observational study investigating the treatment of venous thromboembolism in Greece (VICTORIA study).Thrombosis journal · 2025Article
- Development of venous thromboembolism and its impact on hospitalized adults with covid-19: rapid systematic review.Jornal vascular brasileiro · 2025Review
- Application of artificial intelligence in risk assessment and management of venous thromboembolism: scoping review.Frontiers in physiology · 2025Review
- Thromboembolic Events in the Era of COVID-19: A Detailed Narrative Review.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025Review
- Immunity and Coagulation in COVID-19.International journal of molecular sciences · 2024Review
- Unfractionated Heparin Safety in COVID-19: Incidence and Risks of Bleeding Complications in Japan.Journal of atherosclerosis and thrombosis · 2024Article
- Review
71 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on by
Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundVenous thromboembolism (VTE) may complicate the course of Coronavirus Disease 2019 (COVID-19).
objectivesTo evaluate the incidence of VTE in patients with COVID-19.
methodsMEDLINE, EMBASE, and PubMed were searched up to 24th June 2020 for studies that evaluated the incidence of VTE, including pulmonary embolism (PE) and/or deep vein thrombosis (DVT), in patients with COVID-19. Pooled proportions with corresponding 95% confidence intervals (CI) and prediction intervals (PI) were calculated by random-effect meta-analysis.
results3487 patients from 30 studies were included. Based on very low-quality evidence due to heterogeneity and risk of bias, the incidence of VTE was 26% (95% PI, 6%-66%). PE with or without DVT occurred in 12% of patients (95% PI, 2%-46%) and DVT alone in 14% (95% PI, 1%-75%). Studies using standard algorithms for clinically suspected VTE reported PE in 13% of patients (95% PI, 2%-57%) and DVT in 6% (95% PI, 0%-60%), compared to 11% (95% PI, 2%-46%) and 24% (95% PI, 2%-85%) in studies using other diagnostic strategies or patient sampling. In patients admitted to intensive care units, VTE occurred in 24% (95% PI, 5%-66%), PE in 19% (95% PI, 6%-47%), and DVT alone in 7% (95% PI, 0%-69%). Corresponding values in general wards were respectively 9% (95% PI, 0%-94%), 4% (95% PI, 0%-100%), and 7% (95% CI, 1%-49%).
conclusionsVTE represents a frequent complication in hospitalized COVID-19 patients and often occurs as PE. The threshold for clinical suspicion should be low to trigger prompt diagnostic testing.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.