Evidence map›Paper›PMID 34759969›Full record

ArticleJournal of oncology2021

Detection of

Liu Dong, Yingfeng Zhu, Liting Wu, Qiaoan Zhang, Feng Xu, Xinju Zhang, Xiao Xu, Yiting Tang, Guoqiang Ren, Zhihua Kang and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 39% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

11 authors at 2 institutions in 2 countries.

Liu DongDepartment of Laboratory Medicine, Huashan Hospital, Shanghai Medical School, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0002-1391-3138
Yingfeng ZhuDepartment of Pathology, Huashan Hospital North, Fudan University, Shanghai, China.
Liting WuDepartment of Laboratory Medicine, Shidong Hospital of Yangpu District, 999 Shiguang Road, Shanghai, China.
Qiaoan ZhangDepartment of Dermatology, Huashan Hospital, Fudan University, Shanghai, China.
Feng XuDepartment of Dermatology, Huashan Hospital, Fudan University, Shanghai, China.
Xinju ZhangCentral Laboratory, Huashan Hospital, Fudan University, Shanghai, China.
Xiao XuCentral Laboratory, Huashan Hospital, Fudan University, Shanghai, China.
Yiting TangDepartment of Laboratory Medicine, Huashan Hospital, Shanghai Medical School, Fudan University, Shanghai, China.
Guoqiang RenDepartment of Pathology, Huashan Hospital North, Fudan University, Shanghai, China.
Zhihua KangDepartment of Laboratory Medicine, Huashan Hospital, Shanghai Medical School, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0001-8153-8846
Ming GuanDepartment of Laboratory Medicine, Huashan Hospital, Shanghai Medical School, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0002-8796-2653
Fudan University · CNRutgers, The State University of New Jersey · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExtramammary Paget's disease (EMPD) is a rare skin tumor. Hypermethylation in the

objectiveThis study aims to establish a rapid analysis strategy based on the methylation-sensitive high-resolution melting curve (MS-HRM) to detect the methylation level of the

methodsWith the use of universal methylated human DNA products, we established the MS-HRM standard curve to quantitatively detect the methylation level of the

resultsIn this study, by using the established MS-HRM, we found that 96.5% (55/57) EMPD tumor samples had varying methylation levels in the

conclusionMS-HRM standard curve can be used for the detection of the methylation level of

Identifiers

PMID34759969
PMCPMC8575627
OpenAlexW3208406653

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.