Evidence map›Paper›PMID 35282105›Full record

ArticleAnnals of translational medicine2022

A nomogram for predicting the risk of femoral pseudoaneurysm after neurointerventional procedures.

Liangliang Yang, Puyuan Zhao, Bin Liu, Yang Gao, Hao Zhou, Qiuping Li, Yingchuan Jiang, Zhigang Yang

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2022. 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
0.8field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  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

8 authors at 4 institutions in 1 country.

Liangliang Yang *Department of Neurosurgery, Zhongshan Hospital Fudan University, Shanghai, China.
Puyuan Zhao *Department of Neurosurgery, Zhongshan Hospital Fudan University, Shanghai, China.
Bin Liu *Department of Neurology, Minhang Central Hospital, Shanghai, China.
Yang GaoDepartment of Neurosurgery, Zhongshan Hospital Fudan University, Shanghai, China.
Hao ZhouDepartment of Neurosurgery, Zhongshan Hospital Fudan University, Shanghai, China.
Qiuping LiDepartment of Neurosurgery, Zhongshan Hospital Fudan University, Shanghai, China.
Yingchuan JiangDepartment of Neurosurgery, Zhongshan Hospital Fudan University, Shanghai, China.
Zhigang YangDepartment of Neurosurgery, Zhongshan Hospital Fudan University, Shanghai, China.
Fudan University · CNThe First Affiliated Hospital, Sun Yat-sen University · CNMinhang District Central Hospital · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Because femoral pseudoaneurysm (FPA) is a dangerous complication of interventional procedures with a risk of life-threatening bleeding, our aim was to develop a predictive nomogram for FPA after neurointervention, and to suggest the best method for early identification of FPA. Methods: We searched the PubMed database for literature addressing FPA after interventional procedures to analyze the risk factors, and we also reviewed the clinical data of patients from the Department of Neurosurgery who underwent neurointerventional procedures. Selected parameters were analyzed by univariate and multivariate logistic regression analysis. A nomogram was constructed using the independent risk factors by a multivariate regression model, and was validated by bootstrap resampling method, as well as receiver operating characteristic (ROC) curve, decision curve analysis (DCA) and calibration curve. The influence on the detection rate of FPA with Doppler ultrasound was also analyzed with Fisher's exact test. Results: According to existing studies, female sex, diabetes and hypertension are major risk factors of FPA. Among 1,098 clinical patients, hypertension (P=0.044), higher body mass index (BMI) (P=0.020), larger sheath size (P=0.049), puncture site hematoma (P=0.011) and closure failure (P=0.003) were identified as independent risk factors. The nomogram including these factors showed robust discrimination [C-index, 0.916; 95% confidence interval (CI): 0.810-1.022] with an area under the curve of 0.916. DCA indicated clinical utility, and the calibration curves showed an acceptable consistency. A significant improvement in the detection rate occurred when Doppler ultrasound was utilized (P=0.031). Conclusions: The presented nomogram showed favorable predictive accuracy for FPA after neurointervention. We recommend ultrasound examination for patients at high risk of FPA evaluated by the nomogram.

Indexed as

Femoral pseudoaneurysm (FPA)neurointerventionnomogram

Identifiers

PMID35282105
PMCPMC8848365
OpenAlexW4206659298

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.