Evidence map›Paper›PMID 35768704›Full record

SynthesisReviews in endocrine & metabolic disorders2022

Efficacy of radiofrequency and laser thermal ablation in solving thyroid nodule-related symptoms and cosmetic concerns. A systematic review and meta-analysis.

Roberto Cesareo, Silvia Egiddi, Anda M Naciu, Gaia Tabacco, Andrea Leoncini, Nicola Napoli, Andrea Palermo, Pierpaolo Trimboli

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Reviews in endocrine & metabolic disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
2.7field-weighted citation impact, top 9% of its field
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

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.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 3 syntheses or guidelines pooled it, 20 citations in OpenAlex.

  1. Ablative Technologies for Thyroid Nodules: A Health Technology Assessment.Ontario health technology assessment series · 2026
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Review
  7. Observational
  8. Observational
  9. Article
  10. Article
  11. Editorial: Recent Advances in Thyroid Surgery.Journal of clinical medicine · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Roberto CesareoCenter of Metabolic Disease, S.M. Goretti Hospital, Latina, Italy.ORCID 0000-0001-7773-2718
Silvia EgiddiUnit of Metabolic Bone and Thyroid Disorders, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.ORCID 0000-0001-5889-6055
Anda M NaciuUnit of Metabolic Bone and Thyroid Disorders, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.ORCID 0000-0002-4576-3381
Gaia TabaccoUnit of Metabolic Bone and Thyroid Disorders, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.ORCID 0000-0002-6808-0700
Andrea LeonciniServizio Di Radiologia E Radiologia Interventistica, Istituto Di Imaging Della Svizzera Italiana (IIMSI), Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland.ORCID 0000-0002-6466-7221
Nicola NapoliUnit of Metabolic Bone and Thyroid Disorders, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.ORCID 0000-0002-3091-8205
Andrea PalermoUnit of Metabolic Bone and Thyroid Disorders, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.ORCID 0000-0002-1143-4926
Pierpaolo TrimboliServizio Di Endocrinologia E Diabetologia, Ospedale Regionale Di Lugano, Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland. pierpaolo.trimboli@eoc.ch.ORCID 0000-0002-2125-4937
Campus Bio Medico University Hospital · ITEnte Ospedaliero Cantonale · CHOspedale regionale di Lugano · CHOspedale Santa Maria Goretti · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Catheter AblationLaser TherapyRadiofrequency AblationThyroid NoduleHumansLasersCosmeticLaserMeta-analysisRadiofrequencyReviewSymptomsThermal ablationVAS

Identifiers

PMID35768704
PMCPMC9515040
OpenAlexW4283691826

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.