| Literature DB >> 35085327 |
Yuan Zhu1, Xiaofang Zeng2, Jieya Ying1, Yujia Cai1, Yu Qiu2, Wenzhong Xiang2.
Abstract
BACKGROUND: According to the literature, pigmentary disorders have a significantly negative impact on a person's health-related quality of life. Moreover, among pigmentary disorders, incidence of melasma ranks high. The Melasma Area and Severity Index (MASI) is the scale that is generally used to evaluate a melasma-affected area and its severity. However, the relationship between the MASI and Melasma Quality of Life (MELASQoL) scores, as well as the impact of melasma on patients' quality of life, remain unclear.Entities:
Mesh:
Year: 2022 PMID: 35085327 PMCID: PMC8794204 DOI: 10.1371/journal.pone.0262833
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1PRISMA flow diagram.
Details on studies included in the systematic review.
| Publication year | Author | Country | N | Gender | Mean MASI score | Assessment scale | Mean Scale Score | Whether the MASI and MELASQoL scores were related |
|---|---|---|---|---|---|---|---|---|
| 2006 | Dominguez et al. [ | Spain | 99 | F | 10.89 | MELASQoL-S | 42.49 | YES (ρ = 0.233, p < 0.05) |
| 2006 | Cestari et al. [ | Brazil | 300 | 292 F, 8 M | / | MELASQoL-BP | 44.40 ± 14.90 | / |
| 2008 | Freitag et al. [ | Brazil | 83 | F | 10.60 ± 6.64 | MELASQoL-P | 37.50 ± 15.20 | NO (ρ = 0.17, p = 0.109) |
| 2009 | Dogramaci et al. [ | Turkey | 114 | F | / | MELASQoL-Tr | 29.90 ± 14.60 | YES (ρ = 0.35, p < 0.001) |
| 2010 | Misery et al. [ | French | 28 | F | / | MELASQoL-F | 20.90 (15.90–25.90) | NO |
| 2013 | Park et al. [ | Korea | 77 | F | / | MELASQoL | 38.10 ± 16.60 | YES (p < 0.05) |
| 2015 | Yalamanchili et al. [ | India | 140 | 95 F, 45 M | / | MELASQoL | The study did not provide the average value, but it did give specific scores. | / |
| 2015 | Ikino et al. [ | Brazil | 51 | F | / | MELASQoL-BP | 34.40 ± 13.50 | NO |
| 2016 | Harumi et al. [ | Singapore | 49 | F | 12.10 ± 6.50 | MELASQoL | 25.60 ± 15.30 | NO |
| 2016 | Sarkar et al. [ | India | 100 | F | 20.00 ± 7.50 | MELASQoL-Hi | 37.19 ± 18.15 | YES (ρ = 0.809, p < 0.05) |
| 2018 | Kothari et al. [ | India | 141 | 105 F, 36 M | 9.07 ± 6.12 | MELASQoL-Hi | 28.61 ± 12.92 | NO (ρ = 0.151, p = 0.074) |
| 2019 | Anderson et al. [ | Australia | 31 | 29 F, 2 M | 4.70 ± 3.10 | MELASQoL | 55.00 ± 10.60 | NO (ρ = 0.033, p = 0.09) |
| 2018 | Pollo et al. [ | Brazil | 155 | 134 F, 21 M | 8.00 (5.00–14.00) | MELASQoL-BP | 30.00 (17.00–45.00) | YES (ρ = 0.35, p < 0.05) |
| 2019 | Jusuf et al. [ | Indonesia | 30 | / | 13.07 ± 4.99 | MELASQoL | 39.97 ±12.07 | NO (p = 0.797) |
The quality of the included studies.
| Was the sample frame appropriate to address the target population? | Were the study participants sampled in an appropriate way? | Was the sample size adequate? | Were the study subjects and the setting described in detail? | Was the data analysis conducted with sufficient coverage of the identified sample? | Were valid methods used for the identification of the condition? | Was the condition measured in a standard and reliable way for all participants? | Was there appropriate statistical analysis? | Was the response rate adequate, and if not, was the low response rate managed appropriately? | Total score | |
|---|---|---|---|---|---|---|---|---|---|---|
| Dominguez et al. 2006 | Yes | Yes | Yes | Yes | Yes | Not clear | Yes | Yes | Not clear | 16 |
| Cestari et al. 2006 | Yes | Yes | Yes | Yes | Yes | Not clear | Yes | Yes | Not clear | 16 |
| Freitag et al. 2008 | Yes | Yes | Yes | Not clear | Yes | Not clear | Yes | Yes | Not clear | 15 |
| Dogramaci et al. 2009 | Yes | Not clear | Yes | Yes | Yes | Not clear | Yes | Yes | Not clear | 15 |
| Misery et al. 2010 | Yes | Not clear | No | Yes | No | Not clear | Yes | Yes | Not clear | 11 |
| Park et al. 2013 | Yes | Not clear | No | Yes | No | Not clear | Yes | Yes | Not clear | 11 |
| Yalamanchili et al. 2015 | Yes | Not clear | Yes | Yes | Yes | Not clear | Yes | Yes | Not clear | 15 |
| Ikino et al. 2015 | Yes | No | No | Yes | No | Not clear | Yes | Yes | Not clear | 10 |
| Harumi et al. 2016 | Yes | Not clear | No | Not clear | No | Not clear | Yes | Yes | Not clear | 10 |
| Sarkar et al. 2016 | Yes | Not clear | Yes | Yes | Yes | Not clear | Yes | Yes | Not clear | 15 |
| Kothari et al. 2018 | Yes | Not clear | Yes | Yes | Yes | Not clear | Not clear | Yes | Not clear | 14 |
| Anderson et al. 2019 | Yes | Not clear | No | Yes | No | Not clear | Yes | Yes | Not clear | 11 |
| Pollo et al. 2018 | Yes | Not clear | Yes | Yes | Yes | Not clear | Yes | Yes | Not clear | 15 |
| Jusuf et al. 2019 | Yes | Not clear | No | Yes | No | Not clear | Yes | Yes | Not clear | 11 |
Fig 2Study quality assessment of the included studies based on the JBI critical appraisal checklist.
Fig 3Meta-analysis of the studies that reported on the individual domains of the MELASQoL scale.
Controversial factors that influence the quality of life of patients with melasma.
| Statistically different from MELASQoL scale scores: | Not statistically different from MELASQoL scale scores: | |
|---|---|---|
| Age | 1. Younger patients had higher scores (p = 0.014) (feeling bothered) [ | 1. Age and MELASQoL score (p > 0.05) [ |
| 2. Younger patients had higher scores (p = 0.005) (feeling unattractive) [ | 2. Age and MELASQoL score (p > 0.05) [ | |
| 3. Age and MELASQoL score | ||
| 3. Older patients had higher scores (p = 0.047) [ | (p > 0.05) [ | |
| Previous treatment for melasma | 1. Previously treated had higher scores (47.7 vs. 35.5, p < 0.05) [ | / |
| 2. Previously treated had higher scores (33.9 vs. 27.63, p = 0.036) [ | ||
| Duration of disease | Shorter duration of disease had higher scores (p = 0.044) [ | 1. Duration of disease and MELASQoL score (p > 0.05) [ |
| 2. Duration of disease and MELASQoL score (p > 0.05) [ | ||
| 3. Duration of disease and MELASQoL score (p > 0.05) [ | ||
| Positive family history | / | 1. Positive family history and MELASQoL score (p > 0.05) [ |
| 2. Positive family history and MELASQoL score (p > 0.05) [ | ||
| Educational level | 1. Those with no formal education had higher scores than patients with at least a seventh-grade education (49.4 vs. 39.3, p < 0.05) [ | Education level and MELASQoL score (p > 0.05) [ |
| 2. Those with less than eight years of education had higher scores than patients with more education (44 vs. 34.4, p = 0.024) [ | ||
| Employment | / | 1. Employment and MELASQoL score (p > 0.05) [ |
| 2. Employment and MELASQoL score (p > 0.05) [ | ||
| History of mental illness | Patients with previous diagnoses of psychiatric diseases had higher scores (42.8 vs. 35.4, p = 0.044) [ | / |
| Diagnosed with other diseases | Patients with polycystic ovarian disease had higher scores (44 vs. 27.91) [ | 1. Thyroid disease and MELASQoL score (p > 0.05) [ |
| 2. Thyroid disease and MELASQoL score (p > 0.05) [ | ||
| Medication history | Those with no history of oral contraceptive use had higher scores (29.97 vs. 21.23, p = 0.013) [ | / |
| Dietary habits | Those that consumed a mixed diet had higher scores than vegetarians (30.15 vs. 24.85, p = 0.027) [ | / |
MASI and MELASQOL scores in different countries.
| Country | MASI score | MELASQoL score | Whether the MASI and MELASQoL scores were related | |
|---|---|---|---|---|
| Asia | India | 20.00 ± 7.50 | 37.19 ± 18.15 | YES (ρ = 0.809, p < 0.05) |
| India | 9.07 ± 6.12 | 28.61 ± 12.92 | No (ρ = 0.151, p = 0.074) | |
| Indonesia | 13.07± 4.99 | 39.97 ± 12.07 | No (p = 0.797) | |
| Korea | / | 38.10 ± 16.60 | Yes (p < 0.05) | |
| Singapore | 12.10 ± 6.50 | 25.60 ± 15.30 | No | |
| South America | Brazil | / | 44.40 ± 14.90 | / |
| Brazil | / | 34.40 ± 13.50 | No | |
| Brazil | 8.00 (5.00–14.00) | 30.00 (17.00–45.00) | Yes (ρ = 0.350, p < 0.05) | |
| Brazil | 10.60 ± 6.64 | 37.50 ± 15.20 | No (ρ = 0.170, p = 0.109) | |
| Europe | Spain | 10.89 | 42.49 | Yes (ρ = 0.233, p < 0.05) |
| Turkey | / | 29.90 ± 14.60 | Yes (ρ = 0.350, p < 0.001) | |
| French | / | 20.90 (15.90–25.90) | No | |
| Oceania | Australia | 4.70 ± 3.10 | 55.00 ± 10.60 | No (ρ = 0.033, p = 0.09) |