Evidence map›Paper›PMID 30363743›Full record

ReviewCurrent pharmacology reports2018

The Chemoprevention of Ovarian Cancer: the Need and the Options.

Rishil J Kathawala, Andrzej Kudelka, Basil Rigas

Erratum issuedOpen access · hybridAbstract readReview
In one paragraph

Review in Current pharmacology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.0field-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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Prevention of Epithelial Ovarian Cancer.Cold Spring Harbor perspectives in medicine · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Rishil J KathawalaDepartment of Medicine, Stony Brook University, Stony Brook, NY USA.
Andrzej KudelkaDepartment of Medicine, Stony Brook University, Stony Brook, NY USA.
Basil RigasDepartment of Medicine, Stony Brook University, Stony Brook, NY USA.ORCID 0000-0002-1758-6939
Stony Brook University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewOvarian cancer (OvCa) is the most lethal of all gynecological cancers, with a 5-year survival around 46%, mainly due to limitations in early diagnosis and treatment. Consequently, the chemoprevention of OvCa emerges as an important option to control this dismal disease. Here, we discuss the role of risk assessment in the design of chemoprevention strategies for OvCa, describe candidate agents, and assess future directions in this field. RECENT

findingsOvCa chemoprevention represents an opportunity for all women, especially those at high risk such as carriers of SUMMARY: Currently, no agent is proven by interventional trials to possess chemopreventive properties against OvCa. The key opportunities in the chemoprevention of OvCa include the development of surrogate biomarkers for OvCa, the molecular definition of OvCa risk that will help select those who may benefit the most from chemoprevention, the identification of additional agents likely driven by understanding the molecular pathogenesis of OvCa, and the development of dedicated resources and support mechanisms for OvCa. Overall, there is significant optimism for the future of OvCa chemoprevention.

Indexed as

ChemopreventionNSAIDsOral contraceptives, PARP inhibitorsOvarian cancerTyrosine kinase inhibitors

Identifiers

PMID30363743
PMCPMC6182352
OpenAlexW2800461618

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.