Evidence map›Paper›PMID 38323238›Full record

ReviewGland surgery2024

Efficacy of radiofrequency ablation for treatment of toxic thyroid nodules-a narrative review.

Jerica Lauren Podrat, Yoon Kyung Lee, Helmi S Khadra

Abstract readReview
In one paragraph

Review in Gland surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Review
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

3 authors.

Jerica Lauren PodratDepartment of Surgery, Houston Methodist Hospital, Houston, TX, USA.
Yoon Kyung LeeDepartment of Surgery, Houston Methodist Hospital, Houston, TX, USA.
Helmi S KhadraDepartment of Surgery, Houston Methodist Hospital, Houston, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: Radiofrequency ablation (RFA) has been used in the treatment of benign thyroid nodules for the past 20 years. The adaptation of RFA to benign autonomously functioning thyroid nodules (AFTNs) has been introduced into clinical practice with variable efficacy and outcomes published in the literature. To better understand international practices, we performed a literature search to better elucidate the efficacy and outcomes in the treatment of AFTNs with RFA. Methods: Comprehensive literature searches were independently conducted by two investigators on PubMed, EMBASE, and Scopus in October of 2022 to identify articles reporting AFTN treated by RFA using the terms "RFA", "radiofrequency ablation", "thyroid nodule", "toxic nodules", and "autonomous functioning thyroid nodule". Papers were selected by relevance of the title or abstract, and the date of publication. Key Content and Findings: In patients with toxic nodules, studies have shown 50% remission rate one year after single session of RFA, up to 71% after second dose. Adverse events are generally limited to postoperative pain lasting less than one day, however there are reports of self-limited voice changes, and self-limited hypothyroidism. RFA has been shown to be safe with no reported instances of post-procedure hypothyroidism or hypocalcemia when compared to radioactive iodine (RAI) and surgery. Conclusions: RFA is an acceptable alternative to surgical resection for the treatment of AFTNs in selective patients, however more studies on long-term hyperthyroidism remission rates and nodule regrowth are necessary for further applications.

Indexed as

Radiofrequency ablation (RFA)thyroidtoxic nodule

Identifiers

PMID38323238
PMCPMC10839704

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.