Evidence map›Paper›PMID 30813239›Full record

ReviewInternational journal of molecular sciences2019

High-Grade Serous Ovarian Cancer: Basic Sciences, Clinical and Therapeutic Standpoints.

Michael-Antony Lisio, Lili Fu, Alicia Goyeneche, Zu-Hua Gao, Carlos Telleria

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 400 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
400citing papers in PubMed, 1 pooled it
77.2field-weighted citation impact, top 1% 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

400 citing papers in PubMed, 1 synthesis or guideline pooled it, 685 citations in OpenAlex.

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

340 more citing papers are in PubMed but not listed here.

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

5 authors at 1 institution in 1 country.

Michael-Antony LisioExperimental Pathology Unit, Department of Pathology, McGill University, Montreal, QC H3A 2B4, Canada. michael-antony.lisio@mail.mcgill.ca.
Lili FuExperimental Pathology Unit, Department of Pathology, McGill University, Montreal, QC H3A 2B4, Canada. Lili.Fu@muhc.mcgill.ca.
Alicia GoyenecheExperimental Pathology Unit, Department of Pathology, McGill University, Montreal, QC H3A 2B4, Canada. alicia.goyeneche@mcgill.ca.
Zu-Hua GaoExperimental Pathology Unit, Department of Pathology, McGill University, Montreal, QC H3A 2B4, Canada. zu-hua.gao@mcgill.ca.ORCID 0000-0001-7232-0933
Carlos TelleriaExperimental Pathology Unit, Department of Pathology, McGill University, Montreal, QC H3A 2B4, Canada. carlos.telleria@mcgill.ca.ORCID 0000-0003-1070-3538
McGill University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Among a litany of malignancies affecting the female reproductive tract, that of the ovary is the most frequently fatal. Moreover, while the steady pace of scientific discovery has fuelled recent ameliorations in the outcomes of many other cancers, the rates of mortality for ovarian cancer have been stagnant since around 1980. Yet despite the grim outlook, progress is being made towards better understanding the fundamental biology of this disease and how its biology in turn influences clinical behaviour. It has long been evident that ovarian cancer is not a unitary disease but rather a multiplicity of distinct malignancies that share a common anatomical site upon presentation. Of these, the high-grade serous subtype predominates in the clinical setting and is responsible for a disproportionate share of the fatalities from all forms of ovarian cancer. This review aims to provide a detailed overview of the clinical-pathological features of ovarian cancer with a particular focus on the high-grade serous subtype. Along with a description of the relevant clinical aspects of this disease, including novel trends in treatment strategies, this text will inform the reader of recent updates to the scientific literature regarding the origin, aetiology and molecular-genetic basis of high-grade serous ovarian cancer (HGSOC).

Indexed as

AnimalsBiomarkers, TumorCystadenocarcinoma, SerousDrug Resistance, NeoplasmFemaleHumansNeoplasm GradingOvarian NeoplasmsRisk FactorsBiomarkers, TumorBRCAchemotherapycortical inclusion cystsdebulking surgerygenetically-engineered mouse modelshigh-grade serous ovarian cancerhomologous recombinationmutant p53ovarian surface epitheliumserous tubular intra-epithelial carcinoma

Identifiers

PMID30813239
PMCPMC6412907
OpenAlexW2917476978

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.