Evidence map›Paper›PMID 36980708›Full record

ArticleCancers2023

CA-125 Early Dynamics to Predict Overall Survival in Women with Newly Diagnosed Advanced Ovarian Cancer Based on Meta-Analysis Data.

Eleni Karamouza, Rosalind M Glasspool, Caroline Kelly, Liz-Anne Lewsley, Karen Carty, Gunnar B Kristensen, Josee-Lyne Ethier, Tatsuo Kagimura, Nozomu Yanaihara, Sabrina Chiara Cecere and 6 more

Full text read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. The KPROCS Study: A Real-World and Research Resource to Investigate Multilevel Determinants of Ovarian Cancer Treatment and Survival.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

16 authors.

Eleni KaramouzaGustave Roussy, Office of Biostatistics and Epidemiology, Université Paris-Saclay, 94805 Villejuif, France.ORCID 0000-0001-5091-7966
Rosalind M GlasspoolBeatson West of Scotland Cancer Centre, NHS Greater Glasgow and Clyde, Glasgow G12 0XH, UK.
Caroline KellyCancer Research UK Clinical Trials Unit, Institute of Cancer Sciences, University of Glasgow, Glasgow G12 0YN, UK.ORCID 0000-0002-5330-7888
Liz-Anne LewsleyCancer Research UK Clinical Trials Unit, Institute of Cancer Sciences, University of Glasgow, Glasgow G12 0YN, UK.
Karen CartyCancer Research UK Clinical Trials Unit, Institute of Cancer Sciences, University of Glasgow, Glasgow G12 0YN, UK.
Gunnar B KristensenDepartment of Gynecologic Oncology, Institute for Cancer Genetics and Informatics, Oslo University Hospital, 0424 Oslo, Norway.ORCID 0000-0001-6231-7247
Josee-Lyne EthierDepartment of Medical Oncology, Cancer Centre of Southeastern Ontario, Queen's University, Kingston, ON K7L 3N6, Canada.
Tatsuo KagimuraFoundation for Biomedical Research and Innocation, Translational Research Center for Medical Innovation, Kobe 650-0047, Japan.
Nozomu YanaiharaSchool of Medicine, The Jikei University, Tokyo 105-8461, Japan.
Sabrina Chiara CecereDepartment of Urology and Gynecology, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, 80131 Napoli, Italy.
Benoit YouEMR UCBL/HCL 3738, Faculté de Médecine Lyon-Sud, Université Lyon, Université Claude Bernard Lyon 1, 69100 Lyon, France.ORCID 0000-0002-3177-8857
Ingrid A BoereDepartment of Medical Oncology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands.ORCID 0000-0002-4857-6346
Eric Pujade-LauraineARCAGY-GINECO, GINECO, GINEGEPS, 75008 Paris, France.
Isabelle Ray-CoquardCentre Léon Bérard, GINECO, 69008 Lyon, France.ORCID 0000-0003-2472-8306
Cécile Proust-LimaUMR1219, Bordeaux Population Health Research Center, Inserm, University of Bordeaux, 33000 Bordeaux, France.
Xavier PaolettiFaculty of Medicine, University of Versailles Saint-Quentin, Université Paris Saclay, 78000 Versailles, France.

Funding

Cancer Research UK 25355
6 · The paper itself

Abstract

(1) Background: Cancer antigen 125 (CA-125) is a protein produced by ovarian cancer cells that is used for patients' monitoring. However, the best ways to analyze its decline and prognostic role are poorly quantified. (2) Methods: We leveraged individual patient data from the Gynecologic Cancer Intergroup (GCIG) meta-analysis (N = 5573) to compare different approaches summarizing the early trajectory of CA-125 before the prediction time (called the landmark time) at 3 or 6 months after treatment initiation in order to predict overall survival. These summaries included observed and estimated measures obtained by a linear mixed model (LMM). Their performances were evaluated by 10-fold cross-validation with the Brier score and the area under the ROC (AUC). (3) Results: The estimated value and the last observed value at 3 months were the best measures used to predict overall survival, with an AUC of 0.75 CI 95% [0.70; 0.80] at 24 and 36 months and 0.74 [0.69; 0.80] and 0.75 [0.69; 0.80] at 48 months, respectively, considering that CA-125 over 6 months did not improve the AUC, with 0.74 [0.68; 0.78] at 24 months and 0.71 [0.65; 0.76] at 36 and 48 months. (4) Conclusions: A 3-month surveillance provided reliable individual information on overall survival until 48 months for patients receiving first-line chemotherapy.

Indexed as

biomarkerCA-125linear mixed modelmeta-analysisovarian cancer

Identifiers

PMID36980708
PMCPMC10047009

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read16
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.