Evidence map›Paper›PMID 32021459›Full record

ArticleCancer management and research2020

Wei Liu, Yu-Jia Yang, Qiang An

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in Cancer management and research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. The Role of EMT-Related lncRNAs in Ovarian Cancer.International journal of molecular sciences · 2023
    Review
  7. Article
  8. Review
  9. LINC00963 May Be Associated with a Poor Prognosis in Patients with Cervical Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

  • Retraction · 2024-01-22Author Unresponsive · Duplication of/in Image · Investigation by Journal/Publisher · Investigation by Third Party · Original Data and/or Images not Provided and/or not Available · Paper Mill · Unreliable Results and/or Conclusions · · see also: https://pubpeer.com/publications/3EA460759D455F74589C512A18A931
  • Retracted
    2024
5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Wei LiuDepartment of Gynecology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, People's Republic of China.
Yu-Jia YangDepartment of Gynecology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, People's Republic of China.
Qiang AnDepartment of Gynecology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, People's Republic of China.
Zunyi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong non-coding RNA (lncRNAs) are involved in the development and progression of numerous tumors. Nevertheless, their role in ovarian cancer (OC) needs further study.

methodsA pivotal lncRNA that modulated OC to metastasize was determined in this research, and its potential mechanism was inquired by qRT-PCR, CCK-8, EdU, Transwell assay, wound healing assay and Western blot assay.

resultsIn our study, the GSE119054 microarray was analyzed, and

conclusionOn the whole, our results demonstrate an explicit oncogenic role of

Indexed as

CHI3L1LINC00963migrationmiR-378govarian cancer

Identifiers

PMID32021459
PMCPMC6982455
OpenAlexW3000371577

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.