ArticleLasers in medical science2025
Effects of low-energy EVLA with the use of a 1470-nm laser on vascular inflammation and remodeling parameters in patients with chronic venous disease.
Article in Lasers in medical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Laser radiation involving the mid-infrared range of a 1470 nm wavelength (the "water", or W-laser) coincides with the absorption peak in water and is recognized as one the most effective methods for performing endovenous laser ablation (EVLA) of varicose veins in patients with chronic venous disease (CVD). The mechanism of action on the vein of laser radiation with a 1470 nm wavelength ensures direct action on all layers of the vein wall and thermal damage. This study was brought up to evaluate the effects of low-energy EVLA with the use of a 1470-nm laser with the average linear endovenous energy density (LEED) of 80 J/cm, on the key serum biomarkers of vascular inflammation and remodeling. We have additionally assessed patients' quality-of-life (QoL). To study the effects of low-energy EVLA with the use of a 1470-nm laser on vascular inflammation and remodeling parameters in patients with CVD. In this prospective cohort study subjects with symptomatic varicose veins, clinical class C2-C3 according to the CEAP classification (N = 95) were allocated non-randomly to four groups: group 1 - control (compression stockings only); group 2 - comparison (conservative treatment with micronized purified flavonoid fraction, MPFF); group 3 - EVLA with the use of a 1470-nm laser with the average LEED of 80 J/cm; group 4 - EVLA with a 1470-nm laser with the average LEED of 80 J/cm with adjuvant MPFF therapy. Serum levels of E-selectin, MCP-1, VEGF, MMP-2 were measured. Additionally, QoL analysis was performed using a CIVIQ-20 questionnaire. Treatments were associated with significant reductions in inflammatory biomarkers including E-selectin, MCP-1, and VEGF for MPFF (p < 0.001), and E-selectin, MCP-1 and MMP-2 for EVLA (p < 0.001). EVLA with the use of a 1470-nm laser with the average LEED of 80 J/cm with adjuvant MPFF therapy was associated with most notable reductions in all studied biomarkers (p < 0.001). CIVIQ-20 was improved by 23%, 29%, 36% and 40% at 2 months in groups 1, 2, 3, and 4, respectively. Performing endovenous laser ablation with the use of a 1470-nm laser with the average LEED of 80 J/cm in patients with chronic venous disease is associated with a statistically significant reduction in serum biomarkers of vascular inflammation and remodelling such as E-selectin, MCP-1, VEGF, MMP-2, as well as improvement in quality of life. Adjuvant therapy with MPFF on top of EVLA gives best results in terms of improved biochemistry and QoL.
Indexed as
Identifiers
41372685What OpenQuestion holds
Registered trials
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.