Evidence map›Paper›PMID 37691198›Full record

SynthesisCurrent computer-aided drug design2024

Efficacy and Safety of PARP Inhibitor Therapy in Advanced Ovarian Cancer: A Systematic Review and Network Meta-analysis of Randomized Controlled Trials.

Juying Chen, Xiaozhe Wu, Hongzhe Wang, Xiaoshan Lian, Bing Li, Xiangbo Zhan

Abstract readSystematic ReviewNetwork Meta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Current computer-aided drug design, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
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

6 authors at 3 institutions in 1 country.

Juying ChenDepartment of Pharmacy, Guangzhou Concord Cancer Center, Guangzhou, China.
Xiaozhe WuDepartment of Pharmacy, Guangzhou Concord Cancer Center, Guangzhou, China.
Hongzhe WangDepartment of Oncology, Shanghai Jiahui International Hospital, Shanghai, China.
Xiaoshan LianDepartment of Pharmacy, Shenzhen New Frontier United Family Hospital, Shenzhen, China.
Bing LiDepartment of Pharmacy, Guangzhou Concord Cancer Center, Guangzhou, China.
Xiangbo ZhanDepartment of Gynecology, Guangzhou Concord Cancer Center, Guangzhou, China.
Guangzhou Medical University · CNGuangzhou Medical University Cancer Hospital · CNShanghai Xuhui Central Hospital · CN

Funding

Medical Science and Technology Research Fund of Guangdong Province B2022310
6 · The paper itself

Abstract

aimsThis study aims to evaluate the efficacy and safety of PARP inhibitor therapy in advanced ovarian cancer and identify the optimal treatment for the survival of patients.

backgroundThe diversity of PARP inhibitors makes clinicians confused about the optimal strategy and the most effective BRCAm mutation-based regimen for the survival of patients with advanced ovarian cancer.

objectivesThe objective of this study is to compare the effects of various PARP inhibitors alone or in combination with other agents in advanced ovarian cancer.

methodsPubMed, Embase, Cochrane Library, and Web of Science were searched for relevant studies on PARP inhibitors for ovarian cancer. Bayesian network meta-analysis was performed using Stata 15.0 and R 4.0.4. The primary outcome was the overall PFS, and the secondary outcomes included OS, AE3, DISAE, and TFST.

resultsFifteen studies involving 5,788 participants were included. The Bayesian network metaanalysis results showed that olaparibANDAI was the most beneficial in prolonging overall PFS and non-BRCAm PFS, followed by niraparibANDAI. However, for BRCAm patients, olaparibTR might be the most effective, followed by niraparibANDAI. Olaparib was the most effective for the OS of BRCAm patients. AI, olaparibANDAI, and veliparibTR were more likely to induce grade 3 or higher adverse events. AI and olaparibANDAI were more likely to cause DISAE.

conclusionPARP inhibitors are beneficial to the survival of patients with advanced ovarian cancer. The olaparibTR is the most effective for BRCAm patients, whereas olaparibANDAI and niraparibANDAI are preferable for non-BRCAm patients. Other: More high-quality studies are desired to investigate the efficacy and safety of PARP inhibitors in patients with other genetic performances.

Indexed as

Ovarian NeoplasmsPoly(ADP-ribose) Polymerase InhibitorsRandomized Controlled Trials as TopicAntineoplastic AgentsBayes TheoremFemaleHumansPhthalazinesAntineoplastic AgentsPhthalazinesPoly(ADP-ribose) Polymerase Inhibitorsniraparibolaparibovarian cancer.PARP inhibitorsrucaparibveliparib

Identifiers

PMID37691198
OpenAlexW4386593325

What OpenQuestion holds

Textmetadata
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.