Evidence map›Paper›PMID 34497480›Full record

ArticleContrast media & molecular imaging2021

ADNEX Model-Based Diagnosis of Ovarian Cancer Using MRI Images.

Bin Liu, Jianmei Liao, Wenli Gu, Junyan Wang, Guozhang Li, Liang Wang

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Contrast media & molecular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
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 5 institutions in 1 country.

Bin LiuDepartment of Radiology, Kunming Yan'an Hospital, Kunming 650051, China.ORCID 0000-0002-7791-1289
Jianmei LiaoChengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610031, China.ORCID 0000-0002-5907-1490
Wenli GuDepartment of Gynecology, Ningxia Medical University General Hospital Cardiovascular and Cerebrovascular Disease Hospital, Yinchuan 750001, China.ORCID 0000-0002-3167-0571
Junyan WangDepartment of Radiology, Wuhan Sixth Hospital, Affiliated Hospital of Jianghan University, Wuhan 430015, China.ORCID 0000-0002-1518-6974
Guozhang LiDepartment of Radiology, Taian Children's Hospital, Taian 271000, China.ORCID 0000-0002-2624-3479
Liang WangDepartment of Radiology, Wuhan Sixth Hospital, Affiliated Hospital of Jianghan University, Wuhan 430015, China.ORCID 0000-0001-6588-3332
Wuhan Sixth Hospital · CNKunming Medical University · CNNingxia Medical University · CNTaian City Central Hospital · CNUniversity of Electronic Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This exploration aims to investigate the important role of magnetic resonance imaging (MRI) in the diagnosis of ovarian cancer under the ADNEX. From March 2017 to December 2019, 84 patients with ovarian cancer confirmed by pathological operation were selected as the research objects. The consistency of ADNEX, MRI, and ADNEX

Indexed as

Image Processing, Computer-AssistedAdultAgedFemaleHumansMagnetic Resonance ImagingMiddle AgedOvarian NeoplasmsOvarySoftwareUltrasonography

Identifiers

PMID34497480
PMCPMC8387196
OpenAlexW3194370754

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.