Evidence map›Paper›PMID 37397532›Full record

ArticleGenes & diseases2023

Development of a molecular feature-based survival prediction model of ovarian cancer using the deep neural network.

Tingyuan Lang, Muyao Yang, Yunqiu Xia, Jingshu Liu, Yunzhe Li, Lingling Yang, Chenxi Cui, Yunran Hu, Yang Luo, Dongling Zou and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genes & diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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.

Tingyuan LangDepartment of Gynecologic Oncology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing 400030, China.
Muyao YangBioengineering College of Chongqing University, Chongqing 400044, China.
Yunqiu XiaDepartment of Dermatology, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China.
Jingshu LiuDepartment of Gynaecology and Obstetrics, Reproductive Medicine Center, The Second Affiliated Hospital, Chongqing Medical University, Chongqing 400030, China.
Yunzhe LiSchool of Medicine, Chongqing University, Chongqing 400044, China.
Lingling YangSchool of Medicine, Chongqing University, Chongqing 400044, China.
Chenxi CuiSchool of Medicine, Chongqing University, Chongqing 400044, China.
Yunran HuDepartment of Pharmacy, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, China.
Yang LuoCenter of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400044, China.
Dongling ZouDepartment of Gynecologic Oncology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing 400030, China.
Lei ZhouCentre for Eye and Vision Research, School of Optometry, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Zhou FuDepartment of Respiratory, Children's Hospital of Chongqing Medical University & National Clinical Research Center for Child Health and Disorders & Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing 400044, China.
Qi ZhouDepartment of Gynecologic Oncology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing 400030, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID37397532
PMCPMC10311109

What OpenQuestion holds

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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.