Evidence map›Paper›PMID 38341562›Full record

ArticleBMC cardiovascular disorders2024

Feasibility study of Syngo iFlow in predicting hemodynamic improvement post-endovascular procedure in peripheral artery disease.

Ming Tang, Fanyi Zeng, Xindong Chang, Mingfei He, Qingqing Fang, Lele Xue, Xinyi Luo, Shiwu Yin

Abstract read
In one paragraph

Article in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Ming Tang *Department of Interventional Vascular Medicine, Hefei Hospital Affiliated to Anhui Medical University, The Second People's Hospital of Hefei, 574 Changjiang East Road, Yaohai District, Hefei City, 230011, Anhui Province, China.
Fanyi Zeng *Department of Interventional Vascular Medicine, Hefei Hospital Affiliated to Anhui Medical University, The Second People's Hospital of Hefei, 574 Changjiang East Road, Yaohai District, Hefei City, 230011, Anhui Province, China.
Xindong ChangDepartment of Interventional Vascular Medicine, Hefei Hospital Affiliated to Anhui Medical University, The Second People's Hospital of Hefei, 574 Changjiang East Road, Yaohai District, Hefei City, 230011, Anhui Province, China.
Mingfei HeDepartment of Interventional Vascular Medicine, Hefei Hospital Affiliated to Anhui Medical University, The Second People's Hospital of Hefei, 574 Changjiang East Road, Yaohai District, Hefei City, 230011, Anhui Province, China.
Qingqing FangDepartment of Interventional Vascular Medicine, Hefei Hospital Affiliated to Anhui Medical University, The Second People's Hospital of Hefei, 574 Changjiang East Road, Yaohai District, Hefei City, 230011, Anhui Province, China.
Lele XueDepartment of Interventional Vascular Medicine, Hefei Hospital Affiliated to Anhui Medical University, The Second People's Hospital of Hefei, 574 Changjiang East Road, Yaohai District, Hefei City, 230011, Anhui Province, China.
Xinyi LuoDepartment of Interventional Vascular Medicine, Hefei Hospital Affiliated to Anhui Medical University, The Second People's Hospital of Hefei, 574 Changjiang East Road, Yaohai District, Hefei City, 230011, Anhui Province, China.
Shiwu YinDepartment of Interventional Vascular Medicine, Hefei Hospital Affiliated to Anhui Medical University, The Second People's Hospital of Hefei, 574 Changjiang East Road, Yaohai District, Hefei City, 230011, Anhui Province, China. yinshiwu@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study endeavors to examine the feasibility of predicting the clinical outcomes of patients suffering from peripheral artery disease (PAD) who undergo endovascular intervention, by employing the Syngo iFlow technology.

methodsRetrospectively enrolling 76 patients from December 2021 to May 2023, yielding a total of 77 affected limbs, this study employs clinical outcomes (improvement or otherwise) as the gold standard. Two physicians conducted visual assessments on both DSA and iFlow images to gauge patient improvement and assessed inter-observer consistency for each image modality. The Time to Peak (TTP) of regions of interest (ROI) at the femoral head, knee joint, and ankle joint was measured. Differences in pre- and post-procedure TTP were juxtaposed, and statistically significant parameter cutoff values were identified via ROC analysis. Employing these cutoffs for TTP classification, multivariate logistic regression and the C-statistic were utilized to assess the predictive value of distinct parameters for clinical success.

resultsEndovascular procedure exhibited technical and clinical success rates of 82.58 and 75.32%, respectively. Diagnostic performance of iFlow image visual assessment surpassed that of DSA images. Inter-observer agreement for iFlow and DSA image evaluations was equivalent (κ = 0.48 vs 0.50). Post-classification using cutoff values, multivariate logistic regression demonstrated the statistical significance of ankle joint TTP in post-procedure iFlow images of the endovascular procedure for clinical success evaluation (OR 7.21; 95% CI 1.68, 35.21; P = 0.010), with a C-statistic of 0.612.

conclusionSyngo iFlow color-encoded imagery holds practical value in assessing the technical success of post-endovascular procedures, offering comprehensive lower limb arterial perfusion visualization. Its quantifiable parameters exhibit promising potential for prognosticating clinical success.

Indexed as

Endovascular ProceduresPeripheral Arterial DiseaseFeasibility StudiesHemodynamicsHumansRetrospective StudiesTreatment OutcomeEndovascular procedurePerfusion angiography: percutaneous transluminal angioplastyPeripheral arterial diseaseSyngo iFlow

Identifiers

PMID38341562
PMCPMC10858483

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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.