Evidence map›Paper›PMID 37711071›Full record

ReviewInternational journal of oncology2023

Calcium signals and potential therapy targets in ovarian cancer (Review).

Fengying Deng, Mengyu Fu, Chenxuan Zhao, Jiahui Lei, Ting Xu, Bingyu Ji, Hongmei Ding, Yueming Zhang, Jie Chen, Junlan Qiu and 1 more

Open access · hybridAbstract readReview
In one paragraph

Review in International journal of oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

11 authors at 1 institution in 1 country.

Fengying Deng *Institute for Fetology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China.
Mengyu Fu *Institute for Fetology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China.
Chenxuan Zhao *Institute for Fetology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China.
Jiahui LeiInstitute for Fetology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China.
Ting XuInstitute for Fetology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China.
Bingyu JiInstitute for Fetology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China.
Hongmei DingDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China.
Yueming ZhangDepartment of Gynecology and Obstetrics, Dushu Lake Hospital Affiliated to Soochow University, Suzhou, Jiangsu 215100, P.R. China.
Jie ChenInstitute for Fetology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China.
Junlan QiuInstitute for Fetology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China.
Qinqin GaoInstitute for Fetology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer (OC) is a deadly disease. The poor prognosis and high lethality of OC are attributed to its high degrees of aggressiveness, resistance to chemotherapy and recurrence rates. Calcium ion (Ca

Indexed as

CalciumOvarian NeoplasmsApoptosisFemaleHumansSignal TransductionCalciumCa2+ signalsoccurrenceovarian cancerprospectstherapy

Identifiers

PMID37711071
PMCPMC10552713
OpenAlexW4386687223

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.