Evidence map›Paper›PMID 30701134›Full record

ArticlePeerJ2019

Prognostic values of GMPS, PR, CD40, and p21 in ovarian cancer.

Ping Wang, Zengli Zhang, Yujie Ma, Jun Lu, Hu Zhao, Shuiliang Wang, Jianming Tan, Bingyan Li

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 29 citations in OpenAlex.

  1. A bioinformatics approach to identify potential biomarkers of high-grade ovarian cancer.Journal of the Turkish German Gynecological Association · 2026
    Article
  2. The association betweenFrontiers in genetics · 2026
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  13. Nucleotide Metabolism Behind Epigenetics.Frontiers in endocrinology · 2021
    Review
  14. Article
  15. AnFrontiers in genetics · 2021
    Article
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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

8 authors at 2 institutions in 1 country.

Ping WangFujian Key Laboratory of Transplant Biology, Fuzhou General Hospital, Fuzhou, Fujian, China.
Zengli ZhangDepartment of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, Jiangsu, China.
Yujie MaFujian Key Laboratory of Transplant Biology, Fuzhou General Hospital, Fuzhou, Fujian, China.
Jun LuFujian Key Laboratory of Transplant Biology, Fuzhou General Hospital, Fuzhou, Fujian, China.
Hu ZhaoFujian Key Laboratory of Transplant Biology, Fuzhou General Hospital, Fuzhou, Fujian, China.
Shuiliang WangFujian Key Laboratory of Transplant Biology, Fuzhou General Hospital, Fuzhou, Fujian, China.
Jianming TanFujian Key Laboratory of Transplant Biology, Fuzhou General Hospital, Fuzhou, Fujian, China.
Bingyan LiDepartment of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, Jiangsu, China.
Fuzhou General Hospital of Nanjing Military Command · CNSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early detection and prediction of prognosis and treatment responses are all the keys in improving survival of ovarian cancer patients. This study profiled an ovarian cancer progression model to identify prognostic biomarkers for ovarian cancer patients. Mouse ovarian surface epithelial cells (MOSECs) can undergo spontaneous malignant transformation

Indexed as

BiomarkerGene profilingOvarian cancerPrognosisTCGA dataset

Identifiers

PMID30701134
PMCPMC6348951
OpenAlexW2913202254

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.