Evidence map›Paper›PMID 34454562›Full record

SynthesisJournal of ovarian research2021

Efficacy of PD-1/PD-L1 inhibitors in ovarian cancer: a single-arm meta-analysis.

Jue Zhu, Lifeng Yan, Qiming Wang

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of ovarian research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 5 pooled it
3.0field-weighted citation impact, top 6% 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

43 citing papers in PubMed, 5 syntheses or guidelines pooled it, 55 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Advances in Systemic Therapy for Ovarian Cancer Over the Past Decade: A Clinical and Molecular Perspective.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Review
  16. Review
  17. Review
  18. 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

3 authors at 1 institution in 1 country.

Jue ZhuDepartment of Gynecology, Ningbo Women & Children's Hospital, Ningbo, 315211, China.
Lifeng YanDepartment of Gynecology, Ningbo Women & Children's Hospital, Ningbo, 315211, China.
Qiming WangDepartment of Gynecology, Ningbo Women & Children's Hospital, Ningbo, 315211, China. nbfewqm@126.com.
Ningbo No.6 Hospital · CN

Funding

Scientific research funds of Zhejiang province health department 2021KY1055
6 · The paper itself

Abstract

Several studies have evaluated the efficacy of PD-1/PD-L1 inhibitors in ovarian cancer; however, the response rate varies. This study aims to explore the efficacy of anti-PD-1/PD-L1 therapy in ovarian cancer. A quantitative meta-analysis was performed through a systematic search in PubMed, Web of Science, and the Cochrane Library. The pooled ORR was calculated and compared. Fifteen trials were included in this meta-analysis. Our analyses showed that the pooled ORR of all included studies was 19% (95% CI: 13%, 27%). Single PD-1/PD-L1 inhibitors had the lowest ORR of 9% (95% CI: 7%, 12%), while the combination of PD-1/PD-L1 inhibitors and chemotherapy had the highest ORR of 36% (95% CI: 24%, 51%). This study showed that PD-1/PD-L1 inhibitors alone have limited efficacy for ovarian cancer. The combination of PD-1/PD-L1 inhibitors and chemotherapy could be chosen as the recommended modality for further study.

Indexed as

FemaleHumansImmune Checkpoint InhibitorsImmunotherapyOvarian NeoplasmsImmune Checkpoint InhibitorsImmunotherapyOvarian cancerPD-1/PD-L1 inhibitors

Identifiers

PMID34454562
PMCPMC8403414
OpenAlexW3158812468

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.