Evidence map›Paper›PMID 37128255›Full record

ArticleRadiology case reports2023

A case report of diagnosis of liver metastasis of medullary thyroid carcinoma by multimodal ultrasound.

Jie Xue, Xinying Li, Nina Qu, Zhihui Wu, Guoyun Wang, Zhuonan Chenhuang, Xiaoli Cao

Open access · goldAbstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology case reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 91% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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

7 authors at 5 institutions in 1 country.

Jie XueQingdao University Medical College Affiliated Yantai Yuhuangding Hospital, Department of Ultrasound, 20 Yuhuangding East Road, Zhifu District, Yantai City, Shandong Province China, 264000.
Xinying LiSchool of Medical Imaging, Binzhou Medical University, Shandong, Yantai, 264003, China.
Nina QuQingdao University Medical College Affiliated Yantai Yuhuangding Hospital, Department of Ultrasound, 20 Yuhuangding East Road, Zhifu District, Yantai City, Shandong Province China, 264000.
Zhihui WuSchool of Medical Imaging, Binzhou Medical University, Shandong, Yantai, 264003, China.
Guoyun WangSchool of medicine, Qingdao University, Shandong, Qingdao, 266005, China.
Zhuonan ChenhuangSchool of Medical Imaging, Weifang Medical University, Shandong, Weifang, 261021, China.
Xiaoli CaoQingdao University Medical College Affiliated Yantai Yuhuangding Hospital, Department of Ultrasound, 20 Yuhuangding East Road, Zhifu District, Yantai City, Shandong Province China, 264000.
Qingdao University · CNBinzhou Medical University · CNBinzhou University · CNWeifang Medical University · CNYuhuangding Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medullary thyroid carcinoma is a rare malignant neuroendocrine tumor. Distant metastasis is difficult to detect early. It is most common in lung, liver, bone and brain. This case was reported as liver metastasis of medullary thyroid carcinoma in an elderly woman, but routine ultrasound findings were atypical. After a series of relevant imaging examinations, contrast-enhanced ultrasound and ultrasound-guided puncture biopsy were used to confirm the nature of the intrahepatic lesions. Therefore, we believe that multimodal ultrasound is of great value in the diagnosis of liver metastasis of medullary thyroid carcinoma.

Indexed as

Liver metastasis of medullary thyroid carcinomaMultimodal ultrasound

Identifiers

PMID37128255
PMCPMC10147952
OpenAlexW4366398771

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.