Evidence map›Paper›PMID 31289467›Full record

ArticleOncology letters2019

Expression levels of MRP1, GST-π, and GSK3β in ovarian cancer and the relationship with drug resistance and prognosis of patients.

Xiaojing Tong, Jiao Zhao, Yuhua Zhang, Peng Mu, Xiaobin Wang

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.8field-weighted citation impact, top 17% 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, 39 citations in OpenAlex.

  1. [European journal of nuclear medicine and molecular imaging · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Cellular and Molecular Mechanisms of Chemoresistance for Gastric Cancer.International journal of general medicine · 2024
    Review
  7. Review
  8. Article
  9. Article
  10. A macrocyclic peptide inhibitor traps MRP1 in a catalytically incompetent conformation.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Glutathione S-Transferases in Cancer.Antioxidants (Basel, Switzerland) · 2021
    Review
  20. Potential Role of GST-BioMed research international · 2021
    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

5 authors at 2 institutions in 1 country.

Xiaojing TongDepartment of Gynecology, Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University, Shenyang, Liaoning 110042, P.R. China.
Jiao ZhaoDepartment of Gynecology, Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University, Shenyang, Liaoning 110042, P.R. China.
Yuhua ZhangDepartment of Gynecology, Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University, Shenyang, Liaoning 110042, P.R. China.
Peng MuDepartment of Gynecology, Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University, Shenyang, Liaoning 110042, P.R. China.
Xiaobin WangDepartment of Gynecology, Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University, Shenyang, Liaoning 110042, P.R. China.
Liaoning Cancer Hospital & Institute · CNChina Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Expression levels of multidrug resistance-associated protein 1 (

Indexed as

chemotherapy-resistanceclinical pathologyGSK3βGST-πmultidrug resistance-associated protein 1ovarian cancerprognosis

Identifiers

PMID31289467
PMCPMC6540457
OpenAlexW2944351709

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.