Evidence map›Paper›PMID 28642791›Full record

ArticleInternational journal of endocrinology2017

Efficacy and Safety of Ultrasound-Guided Percutaneous Polidocanol Sclerotherapy in Benign Cystic Thyroid Nodules: Preliminary Results.

Xiaohua Gong, Qi Zhou, Fang Wang, Wenjun Wu, Xiaojun Chen

Open access · goldAbstract read
In one paragraph

Article in International journal of endocrinology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

5 authors at 1 institution in 1 country.

Xiaohua GongDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, Zhejiang 325015, China.ORCID 0000-0002-9376-0126
Qi ZhouDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, Zhejiang 325015, China.
Fang WangDepartment of Pathology, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, Zhejiang 325015, China.ORCID 0000-0003-4829-2164
Wenjun WuDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, Zhejiang 325015, China.ORCID 0000-0002-6502-4893
Xiaojun ChenDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, Zhejiang 325015, China.ORCID 0000-0002-0021-7483
Wenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the efficacy and safety of percutaneous polidocanol injection (PPI) in treating cystic thyroid nodules. MATERIALS AND

methodsA total of 158 cystic or predominantly cystic thyroid nodules (>80% cystic component) in 143 patients were evaluated. 114 patients with compressive symptoms or aesthetic complaints were offered PPI. 44 individuals without compressive symptoms and aesthetic complaints who were only followed up clinically were used as the control group. The efficacy and safety of PPI were evaluated for 1 month, 3 months, 6 months, 9 months, and 12 months of follow-up.

resultsIn the PPI group, the mean baseline volume of 15.6 ± 18.9 cm

conclusionsPPI is a safe and effective alternative to treat benign cystic or predominant cystic thyroid nodules.

Identifiers

PMID28642791
PMCPMC5470016
OpenAlexW2619233577

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.