Evidence map›Paper›PMID 22783293›Full record

ArticleJournal of geriatric cardiology : JGC2011

Vena cava thrombosis after vena cava filter placement: Incidence and risk factors.

Ya-Juan Guo, Jun Feng, Tian-Rong Qu, Yan Qu, Ya-Min Liu, Yu-Shun Zhang, Hong-Yan Tian, Ai-Qun Ma

Open access · hybridAbstract read
In one paragraph

Article in Journal of geriatric cardiology : JGC, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 32% of its field
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

3 citing papers in PubMed, 8 citations in OpenAlex.

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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 at 1 institution in 1 country.

Ya-Juan GuoDepartment of Cardiology and Periphery Vascular Medicine, the First Affiliated Hospital of Medical College of Xi'an Jiaotong University, Xi'an 710061, Shaanxi Province, China.
Jun Feng
Tian-Rong Qu
Yan Qu
Ya-Min Liu
Yu-Shun Zhang
Hong-Yan Tian
Ai-Qun Ma
First Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe objective of this study was to assess the clinical safety and efficacy of vena cava filter (VCF) placement, with particular emphasis on the incidence and risk factors of inferior vena cava thrombosis (VCT) after VCF placement.

methodsClinical data of patients with venous thromboembolism (VTE), with or without placement of VCF, were analyzed in a retrospective single-center audit of medical records from January 2005 to June 2009. The collected data included demographics, procedural details, filter type, indications, and complications.

resultsA total of 168 cases of VTE (82 with VCF; 86 without VCF) were examined. Over a median follow-up of 24.2 months, VCT occurred in 18 of 82 patients with VCFs (11 males, 7 females, mean age 55.4 years). In 86 patients without VCFs, VCT occurred in only 6 individuals (4 males, 2 females) during the study period. VCT was observed more frequently in patients fitted with VCFs than in those without VCFs (22% vs. 7.0%).

conclusionsThe incidence of VCT in patients with VTE after VCF implantation was 22% approximately. Anticoagulation therapy should be continued for all patients with VCF placement, unless there is a specific contraindication. Almost all instances of VCT in patients with VCF implants in our study occurred after stopping anticoagulation treatment. The use of VCFs is increasing, and more trials are needed to confirm their benefit and accurately assess their safety.

Indexed as

complicationvena cava filtersvenous thromboembolism

Identifiers

PMID22783293
PMCPMC3390081
OpenAlexW1541372433

What OpenQuestion holds

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Registered trials

None linked

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.