Evidence map›Paper›PMID 29245272›Full record

ArticleMedicine2017

Epithelial-myoepithelial carcinoma with high-grade transformation of parotid gland: A case report and literature review.

Bowen Li, Hongyu Yang, Xia Hong, Yufan Wang, Feng Wang

Open access · goldAbstract readCase Reports
In one paragraph

Article in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

5 authors at 1 institution in 1 country.

Bowen LiDepartment of Oral and Maxillofacial Surgery, Peking University Shenzhen Hospital, Shenzhen, Guangdong Province, China.
Hongyu Yang
Xia Hong
Yufan Wang
Feng Wang
National Natural Science Foundation of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleEpithelial-myoepithelial carcinoma (EMC) is regarded as a rare low-grade malignant tumor of the salivary gland, accounting for 0.4% to 1% of all salivary gland tumors. However, epithelial-myoepithelial carcinoma with high-grade transformation (EMC with HGT) is extremely rare, therefore it is easily to be inappropriately diagnosed and treated. Herein, we report an unusual case of EMC with HGT involving the parotid gland and discuss the clinical features and histological characteristic of EMC with HGT, in order to remind the doctors to take appropriate diagnosis and treatment. PATIENT CONCERNS: A 77-year-old female sought for treatment in our hospital due to pain mass in the left parotid gland for 6 months with rapid growth recently. DIAGNOSES: EMC with HGT was confirmed by final pathology, and then the result showed there were 2 distinctly different areas in the tumor, including the typical EMC component and intensive spindle cells component.

interventionsThe extensive resection surgery was performed. OUTCOMES: The patient was uneventful after surgery and no recurrence or metastasis has been observed after follow-up of 4 years. LESSONS: A review of literature suggested that EMC with HGT patients trend to be more aged, more aggressive and poorer prognosis than typical EMC patients. In order to avoid misdiagnosis and inappropriate treatment, it is necessary to accurately recognize the differences between the EMC with HGT and typical EMC.

Indexed as

AgedFemaleHumansMyoepitheliomaParotid Neoplasms

Identifiers

PMID29245272
PMCPMC5728887
OpenAlexW2775292653

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.