| Literature DB >> 35768704 |
Roberto Cesareo1, Silvia Egiddi2, Anda M Naciu2, Gaia Tabacco2, Andrea Leoncini3, Nicola Napoli2, Andrea Palermo2, Pierpaolo Trimboli4,5.
Abstract
Several studies have showed good/excellent results of thermal-ablation (TA) to reduce volume of benign thyroid nodule (TN). Nevertheless, no systematic review has reported information about clinical achievements with TA. Being the latter of high interest, this systematic review was undertaken to achieve high evidence about the efficacy of TA in reducing TN-related symptoms and cosmetic concerns. Radiofrequency (RFA) and laser (LA) therapies were considered. A comprehensive literature search of online databases was performed on January 2022 looking for studies reporting clinical results obtained by RFA or LA in terms of VAS (namely, Visual Analogic Scale) and cosmetic concerns. Initially, 318 records were found and 14 were finally included in the meta-analysis. VAS data were available in all RFA studies and the pooled mean reduction was of 3.09 points with significant heterogeneity. Cosmetic score data were available in 11 RFA studies and the pooled mean reduction was of 1.45 with significant heterogeneity. Regarding LA studies, 4 series reported VAS data and the pooled mean reduction was of 2.61 points with significant heterogeneity. The analysis of LA data about cosmetic concerns was not performed due to data paucity. Importantly, heterogeneities were not explained by meta-regression analyses using several covariates (i.e., baseline TN volume, follow-up duration, volume reduction rate). This systematic review showed that clinical data about TN TA efficacy are sparse and affected by high unexplained inconsistency. International societies should give indication about how we should clinically select and evaluate patients undergoing TN TA.Entities:
Keywords: Cosmetic; Laser; Meta-analysis; Radiofrequency; Review; Symptoms; Thermal ablation; VAS
Mesh:
Year: 2022 PMID: 35768704 PMCID: PMC9515040 DOI: 10.1007/s11154-022-09743-8
Source DB: PubMed Journal: Rev Endocr Metab Disord ISSN: 1389-9155 Impact factor: 9.306
Fig. 1Flow of records of the systematic review
Characteristics of studies included in the meta-analysis
| Authors | Journal | Year of publication | Mean patient’s age (SD) | TA | Sample size (TN number) | Symptom score scale | Cosmetic score scale | Follow-up after TA (months) |
|---|---|---|---|---|---|---|---|---|
| Baek et al. [ | Am J Roentgenol | 2010 | 47.5 (9) | RFA | 15 | 0–10 | 1–4 | 6 |
| Huh et al. [ | Radiology | 2012 | 37.5 (11.5) | RFA | 15 | 0–10 | 1–4 | 6 |
| Cesareo et al. [ | J Clin Endocrinol Metab | 2015 | 56 (14) | RFA | 42 | 0–10 | 1–4 | 6 |
| Deandrea et al. [ | Thyroid | 2015 | NA | RFA | 40 | 0–10 | 1–4 | 6 |
| Døssing et al. [ | Thyroid | 2006 | NA | LA | 30 | 0–10 | 0–10 | 6 |
| Cesareo et al. [ | Arch Endocrinol Metab | 2017 | 57.7 (14) | RFA | 48 | 0–10 | 1–4 | 12 |
| Feroci et al. [ | Surg Innov | 2020 | 57.2 (17.1) | RFA | 32 | 0–10 | 1–4 | 12 |
| Jeong et al. [ | Ultrasonography | 2022 | 54.9 (12.9) | RFA | 55 | 0–10 | 1–4 | 12 |
| Ha et al. [ | Endocrinol Metab | 2019 | 43.8 (12.3) | RFA | 16 | 0–10 | 1–4 | 12 |
| Shi et al. [ | Front Endocrinol | 2019 | 44.5 (21.4) | LA | 180 | 0–10 | 1–4 | 12 |
| Negro et al. [ | Korean J Radiol | 2020 | 54 (45–66)* | LA | 104 | 0–10 | 1–4 | 12 |
| Valcavi et al. [ | Endocrine Pract | 2015 | 54.9 (14.3) | RFA | 40 | 0–10 | 0–10 | 24 |
| Guang et al. [ | BMC Cancer | 2019 | 47.6 (11.3) | RFA | 194 | 0–10 | 1–4 | 24 |
| Yan et al. [ | Int J Hyperthermia | 2020 | 46.56 (11.8) | RFA | 206 | 0–10 | 1–4 | 24 |
Articles are ordered according to the duration of follow-up after TA. *data of this paper are expressed as median and interquartile ranges
Risk of bias summary: review of authors’ judgements about each risk of bias item for each included observational study
| First author, year | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Baek, 2010 | Yes | Yes | Yes | Yes | No | Yes | Yes | No | No | Yes | Yes | 8/11 |
| Huh, 2012 | Yes | Yes | Yes | No | No | Yes | Yes | No | No | Yes | Yes | 7/11 |
| Cesareo, 2015 | Yes | Yes | Yes | Yes | No | Yes | Yes | No | No | Yes | Yes | 8/11 |
| Deandrea, 2015 | Yes | Yes | Yes | Yes | No | Yes | Yes | No | No | Yes | Yes | 8/11 |
| Døssing, 2006 | Yes | Yes | Yes | Yes | No | Yes | Yes | No | No | Yes | Yes | 8/11 |
| Cesareo, 2017 | Yes | Yes | Yes | No | No | Yes | Yes | No | No | Yes | Yes | 7/11 |
| Feroci, 2020 | Yes | Yes | Yes | Yes | No | Yes | Yes | No | No | Yes | Yes | 8/11 |
| Jeong, 2022 | Yes | Yes | Yes | No | No | Yes | Yes | No | No | Yes | Yes | 7/11 |
| Ha, 2019 | Yes | Yes | Yes | Yes | No | Yes | Yes | No | No | Yes | Yes | 8/11 |
| Shi, 2019 | Yes | Yes | Yes | Yes | No | Yes | Yes | No | No | Yes | Yes | 8/11 |
| Negro, 2020 | Yes | Yes | Yes | No | No | Yes | Yes | No | No | Yes | Yes | 7/11 |
| Valcavi, 2015 | Yes | Yes | Yes | Yes | No | Yes | Yes | No | No | Yes | Yes | 8/11 |
| Guang, 2019 | Yes | Yes | Yes | No | No | Yes | Yes | No | No | Yes | Yes | 7/11 |
| Yan, 2020 | Yes | Yes | Yes | No | No | Yes | Yes | No | No | Yes | Yes | 7/11 |
Questions:
1. Was the study question or objective clearly stated?
2. Were eligibility/selection criteria for the study population prespecified and clearly described?
3. Were the participants in the study representative of those who would be eligible for the test/service/intervention in the general or clinical population of interest?
4. Were all eligible participants that met the prespecified entry criteria enrolled?
5. Was the sample size sufficiently large to provide confidence in the findings? Did the authors present their reasons for selecting or recruiting the number of individuals included or analyzed?
6. Was the test/service/intervention clearly described and delivered consistently across the study population?
7. Were the outcome measures prespecified, clearly defined, valid, reliable, and assessed consistently across all study participants?
8. Were the people assessing the outcomes blinded to the participants' exposures/interventions?
9. Was the loss to follow-up after baseline 20% or less? Were those lost to follow-up accounted for in the analysis?
10. Did the statistical methods examine changes in outcome measures from before to after the intervention? Were statistical tests done that provided p values for the pre-to-post changes?
11. Were outcome measures of interest taken multiple times before the intervention and multiple times after the intervention (i.e., did they use an interrupted time-series design)?
Fig. 2VAS variation after RFA. Blu diamond represents the pooled difference and its wideness is correlated to 95%CI. Square indicates the study sample size and line indicates 95% CI
Fig. 3VAS variation after RFA according to the duration of follow-up after TA. Diamond (yellow for subgroup, blue for the pooled group) indicates the pooled difference and its wideness indicates 95% CI. Square indicates the study sample size and line indicates 95% CI
Fig. 4Meta-regression analyses to explore heterogeneity in variation of VAS and cosmetic concerns score after RFA. Any circle identifies a study and its size is according to the study weight. TN, thyroid nodule; VRR, volume reduction ratio
Fig. 5Cosmetic score variation after RFA. Blu diamond represents the pooled difference and its wideness is correlated to 95%CI. Square indicates the study sample size and line indicates 95% CI
Fig. 6Cosmetic score variation after RFA according to the duration of follow-up after TA. Diamond (yellow for subgroup, blue for the pooled group) indicates the pooled difference and its wideness indicates 95% CI. Square indicates the study sample size and line indicates 95% CI
Fig. 7VAS variation after LA. Blu diamond represents the pooled difference and its wideness is correlated to 95%CI. Square indicates the study sample size and line indicates 95% CI