Evidence map›Paper›PMID 33116825›Full record

ReviewCancer management and research2020

The Pathogenesis and Prevention of Port-Site Metastasis in Gynecologic Oncology.

Qianqian Gao, Ling Guo, Bo Wang

Open access · goldAbstract readReview
In one paragraph

Review in Cancer management and research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.4field-weighted citation impact, top 14% 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

18 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. 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

3 authors at 1 institution in 1 country.

Qianqian GaoDepartment of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China.
Ling GuoDepartment of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China.ORCID 0000-0003-1155-6170
Bo WangDepartment of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China.
Qilu Hospital of Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Port-site metastasis (PSM) is a specific and challenging complication of laparoscopic gynecologic oncologic procedures. Research has demonstrated that PSM is associated with significant morbidity and poor outcome. The exact pathogenesis of PSM in gynecologic patients is not clear. Several preventive measures of PSM have been addressed in the relevant literature, and novel approaches to prevent this uncommon complication keep emerging. In this review, we summarized the potential mechanisms of PSM and discuss the controversies and merits of proposed preventive measures of PSM in gynecologic oncology. We undertook a literature search using the Medline database to identify studies on the pathogenesis and prevention of laparoscopic PSM. Hypotheses of PSM pathogeneses center on the immune response, pneumoperitoneum, wound contamination, and surgical method. Cogent evidence of effective prevention of PSM after laparoscopic surgery is lacking. Traditional preventive actions such as irrigation and tumor manipulation should be taken individually. Insufflation of hyperthermic CO

Indexed as

laparoscopyport-site metastasispreventionprognosisrisk factor

Identifiers

PMID33116825
PMCPMC7547761
OpenAlexW3090337637

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.