Evidence map›Paper›PMID 29137336›Full record

ArticleOncotarget2017

Percutaneous laser ablation for benign thyroid nodules: a meta-analysis.

Wei Fan Sui, Jian Yun Li, Jian Hua Fu

Abstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Ablative Technologies for Thyroid Nodules: A Health Technology Assessment.Ontario health technology assessment series · 2026
    Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Contemporary Thyroid Nodule Evaluation and Management.The Journal of clinical endocrinology and metabolism · 2020
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. 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

3 authors.

Wei Fan SuiDepartment of Interventional Radiology, The Affiliated Renmin Hospital of Jiangsu University, Zhenjiang, 212002, China.
Jian Yun LiDepartment of Interventional Radiology, The Affiliated Renmin Hospital of Jiangsu University, Zhenjiang, 212002, China.
Jian Hua FuDepartment of Interventional Radiology, The Affiliated Renmin Hospital of Jiangsu University, Zhenjiang, 212002, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate percutaneous laser ablation in treating benign thyroid nodules, we conducted a meta-analysis based on summarizing existing researches. MATERIALS AND

methodsA literature search for clinical trial was performed in PubMed, Cochrane Library and Excerpt Medica Database. The qualities of included studies were evaluated. We calculated the indexes with mean difference. Heterogeneity and publication bias were tested and explored. We performed subgroup analyses and sensitivity analysis further.

resultsA total of 19 researches and 2137 patients were included in this meta-analysis. The pooled estimates of nodule volume were statistically significant after percutaneous laser ablation for 1 month, 3 month, 6month, 12month, 24month and 36month(

conclusionsThis meta-analysis demonstrated that percutaneous laser ablation was safe and useful in shrinking benign thyroid nodules volume, improving thyroid function, relieving symptoms of pressure and esthetic, especial for hyper-vascular benign thyroid nodules. Larger number of high-quality prospective studies still needs to be performed.

Indexed as

benign thyroid nodulesmeta-analysispercutaneous laser ablation

Identifiers

PMID29137336
PMCPMC5669962

What OpenQuestion holds

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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.