Evidence map›Paper›PMID 41246024›Full record

ArticleFrontiers in cardiovascular medicine2025

Impact of catheter-directed thrombolysis access approach on entire-limb deep vein thrombosis: a focus on inflow patency.

Cheng Qian, Wei-Qing Jiang, Kang Guo, Tao Wang, Wen-Sheng Lou, Ying-Hao Li, Jian-Ping Gu, Guo-Ping Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Cheng QianDepartment of Interventional Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Wei-Qing JiangDepartment of Anesthesiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Kang GuoDepartment of Radiology, Yixing Traditional Chinese Medicine Hospital, Wuxi, China.
Tao WangDepartment of Interventional Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Wen-Sheng LouDepartment of Interventional Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Ying-Hao LiDepartment of Interventional Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Jian-Ping GuDepartment of Interventional Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Guo-Ping ChenDepartment of Interventional Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This retrospective study aimed to evaluate the influence of inflow (femoropopliteal) patency on the efficacy of catheter-directed thrombolysis (CDT) in treating entire-limb deep venous thrombosis (DVT). Methods: From January 2018 to December 2022, 121 individuals diagnosed with acute entire-limb DVT were treated with CDT. CDT was performed through the ipsilateral popliteal vein (AGA) or the contralateral common femoral vein (RGA). Baseline characteristics and segmental patency were compared between the two access approaches groups. The severity of post-thrombotic syndrome (PTS) was compared between different inflow patency groups. Propensity-score matching (PSM) was used to balance confounding factors. Potential risk factors for PTS were analyzed using univariate and multivariate regression analysis. Results: Thirty-four patients received the AGA approach, while 87 individuals were treated with the RGA approach. The AGA group had superior patency compared to the RGA group in both the popliteal and femoral veins ( Conclusion: "Good" inflow patency decreased the incidence and degree of PTS among patients with entire-limb DVT.

Indexed as

catheter-directed thrombolysisentire-limb deep venous thrombosisinflow patencypost-thrombotic syndromepropensity-score matching

Identifiers

PMID41246024
PMCPMC12616368

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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.