Evidence map›Paper›PMID 32808491›Full record

ArticleJournal of gynecologic oncology2020

Incidence and predictors of peritoneal metastases of gynecological origin: a population-based study in the Netherlands.

Lara Burg, Maite Timmermans, Maaike van der Aa, Dorry Boll, Koen Rovers, Ignace de Hingh, Anne van Altena

Open access · diamondAbstract read
In one paragraph

Article in Journal of gynecologic oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
6.6field-weighted citation impact, top 3% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Surgical management of peritoneal metastasis: Opportunities for pharmaceutical research.Journal of controlled release : official journal of the Controlled Release Society · 2023
    Article
  19. FIGO staging of endometrial cancer: 2023.Journal of gynecologic oncology · 2023
    Article
  20. 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

7 authors at 3 institutions in 1 country.

Lara BurgDepartment of Obstetrics and Gynecology, Radboud University Medical Center, Nijmegen, The Netherlands. lara.burg@radboudumc.nl.ORCID https://orcid.org/0000-0003-4852-2118
Maite TimmermansDepartment of Research, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, The Netherlands.ORCID https://orcid.org/0000-0002-9119-8328
Maaike van der AaDepartment of Research, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, The Netherlands.ORCID https://orcid.org/0000-0002-2934-2704
Dorry BollDepartment of Obstetrics and Gynecology, Catharina Hospital, Eindhoven, The Netherlands.ORCID https://orcid.org/0000-0002-5339-8505
Koen RoversDepartment of Surgical Oncology, Catharina Cancer Hospital, Eindhoven, The Netherlands.ORCID https://orcid.org/0000-0001-8174-2134
Ignace de HinghDepartment of Surgical Oncology, Catharina Cancer Hospital, Eindhoven, The Netherlands.ORCID https://orcid.org/0000-0003-3491-4268
Anne van AltenaDepartment of Obstetrics and Gynecology, Radboud University Medical Center, Nijmegen, The Netherlands.ORCID https://orcid.org/0000-0003-2598-087X
Radboud University Nijmegen · NLMaastricht University Medical Centre · NLNetherlands Comprehensive Cancer Organisation · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePeritoneal metastases (PM) are a challenge in gynecological cancers, but its appearance has never been described in a population-based study. Therefore, we describe the incidence of PM and identify predictors that increase the probability of peritoneal spread.

methodsAll ovarian, endometrial and cervical cancer patients diagnosed in the Netherlands between 1989 and 2015 were identified from the Netherlands Cancer Registry and stratified for PM. Crude and age-adjusted incidence over time was calculated. Independent predictors for PM were identified using uni- and multivariable analyses.

resultsThe 94,981 patients were diagnosed with ovarian, endometrial or cervical cancer and respectively 61%, 2% and 1% presented with PM. Predictors for PM in ovarian cancer were: age between 50 and 74 years (odds ratio [OR]=1.19; 95% confidence interval [CI]=1.08-1.32), other distant metastases (OR=1.25; 95% CI=1.10-1.41), poor differentiation grade (OR=2.00; 95% CI=1.73-2.32) and serous histology. Predictors in endometrial cancer were lymph node metastases (OR=2.32; 95% CI=1.65-3.26), other distant metastases (OR=1.38; 95% CI=1.08-1.77), high-grade tumors (OR=1.95; 95% CI=1.38-2.76) and clear cell (OR=1.49; 95% CI=1.04-2.13) or serous histology (OR=2.71; 95% CI=2.15-3.42). In cervical cancer, the risk is higher in adenocarcinoma than in squamous cell carcinoma (OR=4.92; 95% CI=3.11-7.79).

conclusionPM are frequently seen in patients with ovarian cancer. In endometrial and cervical cancer PM are rare. Histological subtype was the strongest predictive factor for PM in all 3 cancers. Better understanding of predictive factors for PM and thus the biological behavior is of paramount importance.

Indexed as

Genital Neoplasms, FemalePeritoneal NeoplasmsAdolescentAdultAgedAged, 80 and overEndometrial NeoplasmsFemaleHumansIncidenceMiddle AgedNetherlandsOvarian NeoplasmsPrognosisYoung AdultEndometrial NeoplasmsEpidemiologyIncidenceOvarian NeoplasmsPeritoneal NeoplasmsUterine Cervical Neoplasms

Identifiers

PMID32808491
PMCPMC7440978
OpenAlexW3022521805

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.