Evidence map›Paper›PMID 40548054›Full record

ArticleFrontiers in pharmacology2025

Endovascular management of primary long-segment inferior vena cava occlusion: treatment strategies and clinical outcomes.

Jianjun Jiang, Mingli Li, Guangzhen Li, Yang Liu, Qingbo Su

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Jianjun JiangDepartment of Vascular Surgery, Qilu Hospital of Shandong University, Jinan, China.
Mingli LiDepartment of Vascular Surgery, Qilu Hospital of Shandong University, Jinan, China.
Guangzhen LiDepartment of Vascular Surgery, Qilu Hospital of Shandong University, Jinan, China.
Yang LiuDepartment of Vascular Surgery, Qilu Hospital of Shandong University, Jinan, China.
Qingbo SuDepartment of Vascular Surgery, Qilu Hospital of Shandong University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Primary long-segment occlusion of the inferior vena cava (IVC) is a rare condition with diverse clinical presentations. The optimal management approach for this condition remains uncertain, warranting further investigation into endovascular treatment methods. Methods: A retrospective study conducted at Qilu Hospital of Shandong University from 2012 to 2018 assessed 16 patients with primary long-segment IVC occlusion. Patients underwent comprehensive imaging evaluations and received endovascular interventions such as angioplasty, stent placement, and online blood flow restoration. Additionally, a literature review was performed to analyze current practices in managing IVC occlusion. Results: Endovascular treatment was completed in all patients, with favorable primary and secondary patency rates during follow-up. Clinical symptoms significantly improved post-treatment, and the majority of patients achieved IVC patency without major complications. The study showcased the efficacy of angioplasty and stent placement in managing primary IVC occlusion. Conclusion: Endovascular therapy is a safe and effective approach for tackling long-segment IVC occlusion, leading to improved patient outcomes. Long-term anticoagulant prophylaxis is advised to mitigate the risk of venous thrombosis in these patients. This study contributes valuable insights for guiding clinical practice in treating primary IVC occlusion.

Indexed as

color Doppler ultrasoundendovascular treatmentinferior vena cavalocal anesthesialong-segment occlusionpatency ratestent placementtechnical success

Identifiers

PMID40548054
PMCPMC12179148

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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.