SynthesisESMO open2022
Maintenance therapy with a poly(ADP-ribose) polymerase inhibitor in patients with newly diagnosed advanced epithelial ovarian cancer: individual patient data and trial-level meta-analysis.
Synthesis in ESMO open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 6 of them syntheses that pooled 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.
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.
Who cites it
16 citing papers in PubMed, 6 syntheses or guidelines pooled it, 25 citations in OpenAlex.
- Efficacy of Poly(ADP-ribose) Polymerase Inhibitors According to Clinical Risk in Newly Diagnosed, Advanced Ovarian Cancer: A Meta-analysis of Phase III Clinical Trials.Annals of surgical oncology · 2026Pooled it
- A comprehensive comparison of PARP inhibitors as maintenance therapy in platinum-sensitive recurrent ovarian cancer: a systematic review and network meta-analysis.Journal of ovarian research · 2025Pooled it
- Pooled it
- Prognostic value of HER2-low status in breast cancer: a systematic review and meta-analysis.ESMO open · 2023Pooled it
- Impact of PARP inhibitor maintenance therapy in newly diagnosed advanced epithelial ovarian cancer: A meta-analysis.PloS one · 2023Pooled it
- Pooled it
- Research on paclitaxel in chemotherapy-induced neuropathic pain: a bibliometric analysis integrating multiple databases.Frontiers in pain research (Lausanne, Switzerland) · 2026Review
- Challenges in employing overall survival as a primary outcome in ovarian cancer studies: insights from PARP inhibitor trials.Frontiers in oncology · 2026Article
- Long-term patient-derived ovarian cancer organoids closely recapitulate tumor of origin and clinical response.Journal of experimental & clinical cancer research : CR · 2025Article
- Controlling treatment toxicity in ovarian cancer to prime the patient for tumor extinction therapy.bioRxiv : the preprint server for biology · 2025Article
- First evidence of olaparib maintenance therapy in patients with newly diagnosed homologous recombination deficient positive/BRCA wild-type ovarian cancer: real-world multicenter study.Frontiers of medicine · 2024Article
- Navigating cancer care in India: Reflections & imperatives.The Indian journal of medical research · 2024Article
- Folate Receptor Targeted Photodynamic Therapy: A Novel Way to Stimulate Anti-Tumor Immune Response in Intraperitoneal Ovarian Cancer.International journal of molecular sciences · 2023Article
- Gynaecological Oncology in India: Past, Present and Future.Indian journal of surgical oncology · 2022Review
- Transforming treatment paradigms: Focus on personalized medicine for high-grade serous ovarian cancer.CA: a cancer journal for cliniciansReview
- A pan-tumor review of the role of poly(adenosine diphosphate ribose) polymerase inhibitors.CA: a cancer journal for cliniciansReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWe synthesize the efficacy and toxicity of poly(ADP-ribose) polymerase inhibitors (PARPis) in patients with newly diagnosed advanced ovarian cancer. PATIENTS AND
methodsWe manually extracted individual patient data (IPD) for progression-free survival (PFS) from published survival curves of randomized controlled trials (RCTs) that compared PARPi versus placebo as maintenance therapy in first-line treatment, for whole study populations and subgroups, based on BRCA1/BRCA2 mutation (germline and/or somatic) and homologous recombination deficiency (HRD) status, using WebPlotDigitizer software. The respective PFS curves for each study and combined population were reconstructed from extracted IPD. The primary outcome was PFS in combined whole population and subgroups.
resultsIn IPD analysis of combined population from three RCTs, with 2296 patients and 1287 events, PFS was significantly longer in PARPi versus placebo [median 20.4 (95% confidence interval (CI) 18.6-21.9) versus 14.9 (95% CI 13.9-16.5) months, respectively; hazard ratio (HR) 0.67, 95% CI 0.60-0.75; P < 0.001]. In IPD subgroup analyses from four eligible RCTs (2687 patients and 1485 events), median PFS was significantly longer in PARPi versus placebo arm, in the BRCA-mutated (45.7 versus 17.7 months, respectively; HR 0.38, 95% CI 0.32-0.46; P < 0.001), HRD-positive including BRCA-mutated (34.7 versus 17.9 months, respectively; HR 0.45, 95% CI 0.38-0.54; P < 0.001), and HRD positive excluding BRCA-mutated (22.3 versus 13.1 months, respectively; HR 0.47, 95% CI 0.34-0.65; P < 0.001) subgroups, but not in the HRD-negative (15.0 versus 11.3 months, respectively; HR 0.90, 95% CI 0.76-1.05; P = 0.75) subgroup. Results of trial-level meta-analysis were concordant with IPD analysis in whole population and subgroups.
conclusionsAmong newly diagnosed ovarian cancer patients, PARPi maintenance therapy significantly improves PFS in those with germline and/or somatic BRCA mutation and/or HRD-positive tumor but not in those with HRD-negative tumor.
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Registered trials
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.