Evidence map›Paper›PMID 33490226›Full record

ReviewAnnals of translational medicine2020

Current and future immunotherapy approaches in ovarian cancer.

Nazım Can Demircan, Stergios Boussios, Tolga Tasci, Mehmet Akif Öztürk

Abstract readReview
In one paragraph

Review in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
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

22 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Immune pathway through endometriosis to ovarian cancer.World journal of clinical oncology · 2024
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Obesity and gynecological cancers: A toxic relationship.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2021
    Article
  16. Article
  17. Review
  18. Lynch Syndrome: Its Impact on Urothelial Carcinoma.International journal of molecular sciences · 2021
    Review
  19. Article
  20. 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

4 authors.

Nazım Can DemircanDivision of Medical Oncology, Department of Internal Medicine, Marmara University Faculty of Medicine, Istanbul, Turkey.
Stergios BoussiosDepartment of Medical Oncology, Medway NHS Foundation Trust, Gillingham, Kent, UK.
Tolga TasciDepartment of Obstetrics & Gynecology, Bahcesehir University Faculty of Medicine, Istanbul, Turkey.
Mehmet Akif ÖztürkDivision of Medical Oncology, Department of Internal Medicine, Bahcesehir University Faculty of Medicine, Istanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer (OC) is the major cause of gynecologic cancer deaths and relapse is common despite advances in surgery and systemic chemotherapy. Therefore, novel treatments are required to improve long-term outcomes of the disease. Efficacy of immunotherapy was demonstrated in many tumors and it has been since incorporated into clinical practice for them. Although early data form preclinical studies imply that OC has an immunogenic microenvironment, immune checkpoint inhibitors (ICIs) did not produce favorable results in clinical trials to date. This review will highlight data from clinical studies regarding immunotherapy in OC and its combination with other agents as well as immunologic prospects which could strengthen the therapeutic armament against the disease in the future.

Indexed as

Immune checkpoint inhibitors (ICIs)immunotherapyovarian cancer (OC)

Identifiers

PMID33490226
PMCPMC7812210

What OpenQuestion holds

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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.