ArticleHealth science reports2025
Post-Thrombotic Syndrome: Pathophysiology, Clinical Implications, and Advances in Management.
Article in Health science reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis 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
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effectiveness of long-term graduated compression stockings after deep vein thrombosis: a GRADE-based meta-analysis of randomized controlled trials.Frontiers in medicine · 2026Pooled it
- Post-Thrombotic Syndrome: Pathophysiology, Clinical Implications, and Advances in Management.Health science reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Aims: Post-thrombotic syndrome (PTS) is a common and challenging complication of deep vein thrombosis (DVT). PTS is characterized by chronic venous insufficiency and persistent venous hypertension. Clinical features are nonspecific. Despite its high prevalence, PTS lacks standardized diagnostic criteria. Furthermore, PTS carries significant morbidity and puts a burden on the healthcare system, as the condition is irreversible and management options tend to be limited. Herein, we review the current literature on PTS regarding pathophysiology, diagnosis, and management. Methods: Articles regarding post-thrombotic syndrome (PTS) were searched via PubMed, Embase, and Google Scholar between January 1980 and January 2025 using relevant keywords. Studies and reports written in languages other than English, for pediatric patients, and related to other venous disorders were excluded. Selected articles were reviewed in detail, and principal findings and outcomes of the studies were critically analyzed and summarized. Results: While diagnosis is largely clinical, scales such as the Villalta scale and CEAP classification provide tools for objective evaluation with limited accuracy and reliability. Current treatment options for PTS include targeted lifestyle modification, pharmacologic treatment, compression therapy, proper and timely anticoagulation, and interventions such as thrombolysis, thrombectomy, and stenting. Evidence is limited for compression therapy (stockings) currently; however, catheter-directed interventions have stronger evidence of efficacy with several limitations in prevention and treatments. Conclusion: Overall, there is no definitive method to either entirely prevent PTS or effectively treat it once it is established. Preventing DVT remains the cornerstone of reducing PTS incidence. This review highlights the urgent need for comprehensive prevention strategies, improved diagnostic tools, and evidence-based treatment protocols. Further research is essential to bridge the existing knowledge gaps, optimize patient outcomes, and develop effective approaches to both prevention and management.
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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.