Evidence map›Paper›PMID 36712257›Full record

ArticleFrontiers in cardiovascular medicine2022

Risk factors and a predictive model for nonfilter-associated inferior vena cava thrombosis in patients with lower extremity deep vein thrombosis.

Maofeng Gong, Jie Kong, Yadong Shi, Boxiang Zhao, Zhengli Liu, Xu He, Jianping Gu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
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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

7 authors at 1 institution in 1 country.

Maofeng GongDepartment of Interventional and Vascular Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China.
Jie KongDepartment of Interventional and Vascular Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China.
Yadong ShiDepartment of Interventional and Vascular Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China.
Boxiang ZhaoDepartment of Interventional and Vascular Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China.
Zhengli LiuDepartment of Interventional and Vascular Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China.
Xu HeDepartment of Interventional and Vascular Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China.
Jianping GuDepartment of Interventional and Vascular Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China.
Nanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Nonfilter-associated inferior vena cava thrombosis (IVCT) is an under-recognized but severe state of venous thromboembolism. The aims of this study were to investigate risk factors and develop a prediction model based on clinical data and imaging findings to evaluate the probability of IVCT in patients with lower extremity deep vein thrombosis (LEDVT). Methods: A single-center retrospective cohort study was conducted. We analyzed the clinical data and multimodal imaging findings of consecutive patients with confirmed LEDVT between February 2016 and January 2022. The demographics, presentation of LEDVT, laboratory examination, thrombus characteristics, comorbidities and risk factors for LEDVT, and imaging findings were analyzed using an independent Results: A total of 267 eligible patients were included, of whom 40 were in the IVCT group and 227 were in the non-IVCT group. The incidence of nonfilter-associated IVCT was 15.0% (40/267). Age < 63.5 years [odds ratio (OR) 2.54; 95% confidence interval (CI), 1.10-5.85, Conclusion: Age < 63.5 years, male sex, proximal LEDVT, bilateral LEDVT and D-dimer >4.72 μg/ml were risk factors. The diagnostic efficiency of the predictive model for predicting IVCT was superior to that of a single risk factor alone. It may be used for predicting the probability of nonfilter-associated IVCT in patients with LEDVT.

Indexed as

deep vein thrombosisincidenceinferior vena cava thrombosisrisk factorsvena cava filter

Identifiers

PMID36712257
PMCPMC9875588
OpenAlexW4315498146

What OpenQuestion holds

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Registered trials

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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.