| Literature DB >> 33148217 |
Yuqing He1, Jiaxin Deng1, Yi Zhao1, Huiqian Tao1, Hongxia Dan1, Hao Xu2, Qianming Chen1.
Abstract
BACKGROUND: Photodynamic therapy (PDT) is a new option for oral lichen planus (OLP) management; however, there are different opinions on the efficacy of PDT for OLP. The aim of this study was to comprehensively assess the efficacy of PDT in the treatment of OLP and compare PDT with steroid therapy.Entities:
Keywords: Efficacy evaluation; Meta-analysis; Oral lichen planus; Photodynamic therapy
Mesh:
Year: 2020 PMID: 33148217 PMCID: PMC7640434 DOI: 10.1186/s12903-020-01260-x
Source DB: PubMed Journal: BMC Oral Health ISSN: 1472-6831 Impact factor: 2.757
Fig. 1Flow diagram of study selection
Characteristics of the studies with lesion response and lesion size changes after PDT
| Author | Year | Light sources | Photosensitizer | Lesion types | Administration Method | Lesion locations | Sample size | CR | PR | lesion size of pre-PDT | lesion size of post-PDT | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mean | SD | Mean | SD | ||||||||||
| Aghahosseini F | 2006 | diode laser | MB | mixed | gargle | mixed | 26 | 4 | 12 | 1.8 | 0.7 | 1 | 0.9 |
| Sadaksharam J | 2012 | xenon lamp | MB | mixed | gargle | mixed | 20 | 0 | 10 | ||||
| Sobaniec S | 2013 | semiconductor laser | chlorin e6 derivative | mixed | topical | mixed | 48 | 14 | 25 | 6 | 4.5 | 2.7 | 2.62 |
| BM/L | 40 | 13 | 22 | 6.6 | 4.63 | 2.8 | 2.81 | ||||||
| T/G | 8 | 1 | 3 | 3 | 1.9 | 2.1 | 1.21 | ||||||
| Prasanna SW | 2015 | metal halide lamp | MB | mixed | gargle | mixed | 15 | 0 | 13 | 3 | 1.6 | 0.8 | 1 |
| Maloth KN | 2016 | LED | 5-ALA | mixed | topical | mixed | 10 | 0 | 8 | 2.22 | 0.79 | 1.41 | 0.74 |
| Bakhtiari S | 2017 | LED | MB | mixed | gargle | mixed | 15 | 0 | 2 | ||||
| Mostafa D | 2017 | diode laser | MB | mixed | gargle | mixed | 19 | 7 | 9 | ||||
| Sulewska M | 2017 | LED | 5-ALA | erosive | topical | mixed | 22 | 5 | 11 | 1.49 | 1.45 | 1.37 | 1.78 |
| BM | 16 | 4 | 7 | 1.06 | 0.98 | 1.08 | 1.57 | ||||||
| T /G | 6 | 1 | 4 | 2.63 | 1.93 | 2.13 | 2.24 | ||||||
| Rakesh N | 2018 | diode laser | 5-ALA | erosive | topical | mixed | 10 | 0 | 10 | ||||
| Sulewska M | 2019 | LED | 5-ALA | reticular | topical | mixed | 124 | 46 | 63 | 3.99 | 3.73 | 1.48 | 1.98 |
| BM | 80 | 27 | 44 | 4.58 | 4.01 | 1.67 | 2.04 | ||||||
| T /G | 44 | 19 | 19 | 2.93 | 2.91 | 1.13 | 1.84 | ||||||
PDT Photodynamic therapy, GaAlAs Gallium-Aluminum-Arsenide, LED Light emitting diode, TB Toluidine blue, 5-ALA 5 aminolevulinic acid, MB Methylene Blue, BM/L Buccal mucosa and/or lips, T/G Tongue and/or gingival mucosa; mixed: with different required information or information were not mentioned, CR Complete response, PR Partial response, NR No response, SD Standard deviation
Fig. 2Forest plot of proportions of PR after PDT
Fig. 3a-j showed the results of subgroup analysis with random effects model, three factors were considered for subgroup analysis, namely, light sources (a, d, g, j), photosensitizers (b, e, h, k), administration methods (c, f, i, l). The three plots at the first column represent the results of PR, the plots at the second column represent the results of size, the plots at the third column represent the results of TH, the plots at the fourth column represent the results of VAS. The plots at the third column represent the results of VAS. The full red lines in the plots indicate the pooled overall estimates and the dashed red lines indicate the lower limits and upper limits of their 95% CI
Fig. 4Forest plots of mean difference between before and after PDT in three effect indicators. a: lesion size, b: TH score, c: VAS
Parameters without meta-analysis of the studies included
| Author | Year | Wavelength (nm) | Energy density (J/cm2) | Duration of irradiation(s) | Dressing time (min) | Frequency of PDT | Recurrence | Follow-up time (month) |
|---|---|---|---|---|---|---|---|---|
| Aghahosseini, F | 2006 | 632 | 120 | 120 | 5 | 1 session | NA | 3 |
| Sadaksharam J | 2012 | 632 ± 5 | 120 | 1200 | 5 | 4 weekly | NA | 6 |
| Sobaniec S | 2012 | 660 | 90 | NA | 60 | 2 weekly | NA | 5 |
| Kvaal SI | 2013 | 600–660 | 75 | NA | 60 | 1 session | 2 | 6–48 |
| Saleh WE | 2014 | 660 | 100–130 | 120 | 5 | 1 session | NA | 1 |
| Jajarm HH | 2015 | 630 | 1.5 | 150 | 10 | Once 2-weeks | 0 | 1 |
| Prasanna SW | 2015 | 630 ± 10 | 120 | NA | 5 | Once a week | NA | 3 |
| Maloth KN | 2016 | 420 | 210 | 600 | 30 | 1 session | NA | 1 |
| Bakhtiari S | 2017 | 630 | 7.2–14.4 | 120 | 10 | NA | NA | 3 |
| Mostafa D | 2017 | 660 | 100–130 | 70 | NA | Once a week | 0 | 2 |
| Sulewska M | 2017 | 630 | 150 | 500 | 120 | 10 weekly | 4 | 12 |
| Mirza S | 2018 | 630 | 1.5 | 150 | 10 | Twice a week | NA | 1 |
| Paiziyeva Z | 2018 | 632.7 | NA | NA | NA | NA | NA | NA |
| Rakesh N | 2018 | 600–670 | 80 | NA | 120 | 1 session | 0 | 48 |
| Lavaee F | 2019 | 660 | 19.23 | 600 | 10 | 3 sessions | NA | 2 |
| Sulewska M | 2019 | 630 | 150 | 500 | 120 | 10 weekly | 0 | 12 |
nm Nanometers, J/cm Joules per square centimeters, NA Not available