Evidence map›Paper›PMID 36051475›Full record

ArticleBioMed research international2022

Computer Image Analysis Reveals C-Myc as a Potential Biomarker for Discriminating between Keratoacanthoma and Cutaneous Squamous Cell Carcinoma.

Xinyun Fan, Xueli Niu, Ze Wu, Lu Yao, Shirui Chen, Wenyu Wan, Bo Huang, Rui-Qun Qi, Tao Zhang

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

9 authors at 4 institutions in 1 country.

Xinyun FanKey Laboratory of Immunodermatology, Ministry of Education, Department of Dermatology, The First Hospital of China Medical University, Shenyang 110001, China.ORCID https://orcid.org/0000-0003-3954-3208
Xueli NiuKey Laboratory of Immunodermatology, Ministry of Education, Department of Dermatology, The First Hospital of China Medical University, Shenyang 110001, China.
Ze WuDepartment of Dermatology, General Hospital of Northern Theater Command, Shenyang 110000, China.
Lu YaoKey Laboratory of Immunodermatology, Ministry of Education, Department of Dermatology, The First Hospital of China Medical University, Shenyang 110001, China.
Shirui ChenDepartment of Pathology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, 110042 Liaoning Province, China.
Wenyu WanKey Laboratory of Immunodermatology, Ministry of Education, Department of Dermatology, The First Hospital of China Medical University, Shenyang 110001, China.
Bo HuangDepartment of Pathology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, 110042 Liaoning Province, China.ORCID https://orcid.org/0000-0002-2364-2220
Rui-Qun QiKey Laboratory of Immunodermatology, Ministry of Education, Department of Dermatology, The First Hospital of China Medical University, Shenyang 110001, China.ORCID https://orcid.org/0000-0002-5856-4584
Tao ZhangDepartment of Stem Cells and Regenerative Medicine, Shenyang Key Laboratory of Stem Cell and Regenerative Medicine, China Medical University, Shenyang 110122, China.ORCID https://orcid.org/0000-0002-4586-0827
National Health and Family Planning Commission · CNLiaoning Cancer Hospital & Institute · CNChina Medical University · CNGeneral Hospital of Shenyang Military Region · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The distinction between Keratoacanthoma (KA) and Cutaneous Squamous Cell Carcinoma (cSCC) is critical yet usually challenging to discriminate clinically and histopathologically. One approach to differentiate KA from cSCC is through assessing the immunohistochemical staining patterns of the three indicators,

Indexed as

Carcinoma, Squamous CellKeratoacanthomaSkin NeoplasmsComputersHumansKi-67 AntigenKi-67 Antigen

Identifiers

PMID36051475
PMCPMC9427316
OpenAlexW4293022999

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.