Evidence map›Paper›PMID 36062718›Full record

ReviewTechnology in cancer research & treatment

The Progress of the Specific and Rapid Genetic Detection Methods for Ovarian Cancer Diagnosis and Treatment.

Kejun Dong, Wei Zhang, Shuangshuang Cheng, Wan Shu, Rong Zhao, Hongbo Wang

Open access · goldAbstract readReview
In one paragraph

Review in Technology in cancer research & treatment. 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
0.1field-weighted citation impact, top 57% 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, 2 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

6 authors at 1 institution in 1 country.

Kejun DongDepartment of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, 12403Huazhong University of Science and Technology, Wuhan, China.
Wei ZhangDepartment of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, 12403Huazhong University of Science and Technology, Wuhan, China.
Shuangshuang ChengDepartment of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, 12403Huazhong University of Science and Technology, Wuhan, China.
Wan ShuDepartment of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, 12403Huazhong University of Science and Technology, Wuhan, China.
Rong ZhaoDepartment of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, 12403Huazhong University of Science and Technology, Wuhan, China.
Hongbo WangDepartment of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, 12403Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0001-7090-1750
Union Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is a public health problem that threatens human health. Due to the lack of specific and rapid diagnosis and treatment methods, the 5-year survival rate of patients has not been effectively improved in the past 10 years. Abnormal gene expression is closely related to the occurrence and development of cancer. Cancer diagnosis and treatment methods based on genetic testing have received extensive attention in recent years. It is essential to explore specific and rapid cancer genetic testing methods. Taking ovarian cancer as an example, we reviewed the progress of specific and rapid nucleic acid detection methods related to cancer risk assessment, low-abundance mutation detection, and methylation detection, to provide new strategies and ideas for related research.

Indexed as

Biomarkers, TumorOvarian NeoplasmsCarcinoma, Ovarian EpithelialEarly Detection of CancerFemaleGenetic TestingHumansBiomarkers, Tumorbiomarkerscirculating nucleic acidgenetic detectionovarian cancerspecificity

Identifiers

PMID36062718
PMCPMC9446467
OpenAlexW4294584028

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.