Evidence map›Paper›PMID 32117732›Full record

ArticleFrontiers in oncology2020

Prediction of Response to Preoperative Neoadjuvant Chemotherapy in Locally Advanced Cervical Cancer Using Multicenter CT-Based Radiomic Analysis.

Xin Tian, Caixia Sun, Zhenyu Liu, Weili Li, Hui Duan, Lu Wang, Huijian Fan, Mingwei Li, Pengfei Li, Lihui Wang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
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  3. Review
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  11. Article
  12. Review
  13. Radiomics in surgical oncology: applications and challenges.Computer assisted surgery (Abingdon, England) · 2021
    Review
  14. Article
  15. Radiomics in cervical and endometrial cancer.The British journal of radiology · 2021
    Review
  16. Article
  17. Article
  18. Article
  19. 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

13 authors at 3 institutions in 1 country.

Xin TianDepartment of Gynaecology and Obstetrics, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Caixia SunCAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Zhenyu LiuCAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Weili LiDepartment of Gynaecology and Obstetrics, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Hui DuanDepartment of Gynaecology and Obstetrics, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Lu WangDepartment of Gynaecology and Obstetrics, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Huijian FanDepartment of Gynaecology and Obstetrics, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Mingwei LiDepartment of Gynaecology and Obstetrics, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Pengfei LiDepartment of Gynaecology and Obstetrics, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Lihui WangKey Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province, School of Computer Science and Technology, Guizhou University, Guiyang, China.
Ping LiuDepartment of Gynaecology and Obstetrics, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Jie TianCAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Chunlin ChenDepartment of Gynaecology and Obstetrics, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Nanfang Hospital · CNGuizhou University · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

CTlocally advanced cervical cancer (LACC)neoadjuvant chemotherapyradiomicsresponse prediction

Identifiers

PMID32117732
PMCPMC7010718
OpenAlexW3005156640

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.