Evidence map›Paper›PMID 29290779›Full record

ArticleJournal of Cancer2018

Opportunistic salpingectomy at benign gynecological surgery for reducing ovarian cancer risk: a 10-year single centre experience from China and a literature review.

Ying Chen, Hui Du, Lewen Bao, Wenxin Liu

Open access · goldAbstract read
In one paragraph

Article in Journal of Cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Hysterectomy with opportunistic salpingectomy versus hysterectomy alone.The Cochrane database of systematic reviews · 2019
    Pooled it
  3. Review
  4. Global epidemiology of epithelial ovarian cancer.Nature reviews. Clinical oncology · 2024
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
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

4 authors at 2 institutions in 1 country.

Ying ChenDepartment of Gynecologic Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China.
Hui DuDepartment of Obstetrics and Gynecology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei 050000, China.
Lewen BaoDepartment of Gynecologic Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China.
Wenxin LiuDepartment of Gynecologic Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China.
Tianjin Medical University Cancer Institute and Hospital · CNHebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current evidences indicate that the fallopian tube plays a major role in the pathogenesis of epithelial ovarian cancer (EOC). Salpingectomy represents a novel and potentially effective risk-reducing option. In this study, there were 1822 patients diagnosed and treated for EOC or primary peritoneal cancer (PPC) at Department of Gynecologic Oncology, Tianjin Medical University Cancer Institute and Hospital from January 1, 2007 to April 30, 2017. Among them, 198 patients with a history of gynecological surgery because of benign diseases were enrolled to analyze further. Using 1:2 case-control study, we found that the incidence of EOC was significantly decreased in the population with salpingectomy, compared to women with fallopian tube reserved (

Indexed as

fallopian tubesovarian cancerrisk reductionsalpingectomy

Identifiers

PMID29290779
PMCPMC5743721
OpenAlexW2768256282

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.