ArticleBMC cancer2024
A novel prognostic biomarker in progression free survival for patients with cervical cancer, glucose to c-reactive protein ratio (GCR).
Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis 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
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prognostic significance of the C-reactive protein-to-lymphocyte ratio in patients with cancers.Frontiers in oncology · 2026Pooled it
- Prognostic Value of the Lung Immune Prognostic Index in Advanced Non-Small Cell Lung Cancer Treated with Nivolumab: A Real-World Analysis Beyond PD-L1 Expression.Diagnostics (Basel, Switzerland) · 2026Article
- Prognostic Value of the Gustave Roussy Immune Score in Patients with Locally Advanced Gastric Cancer Receiving Neoadjuvant FLOT Chemotherapy: A Retrospective Cohort Study.Diagnostics (Basel, Switzerland) · 2026Article
- Prognostic Value of Albumin-to-CEA Ratio in Metastatic Colorectal Cancer: A Retrospective Study.Biomedicines · 2026Article
- Modulation of Chronic Cytokine Dysregulation in Cervical Cancer: Potential Biomarkers and Therapeutic Targets.Cancer management and research · 2025Review
- Clinical and prognostic significance of Hec1 expression in patients with Cervical Cancer.Frontiers in oncology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCervical cancer is a tumor with high morbidity and mortality. The importance of inflammatory and metabolic parameters affecting progression-free survival (PFS) and overall survival (OS) has been investigated more intensively recently. We aimed to investigate the effect of glucose/c-reactive protein (CRP) ratio [GCR], which shows these two parameters together, on PFS in cervical cancer.
methodsWe retrospectively included 90 patients with adenocarcinoma and squamous cell carcinoma of the cervix. The effects of clinical variables, inflammatory and glycemic parameters on PFS and OS were analyzed by Kaplan-Meier method. The data were compared with the healthy control group of 90 individuals using the independent t test. The effect of parameters on mortality was analyzed using ROC curves and cut off values were determined.
resultsGlucose, CRP, CRP/lymphocyte ratio (CLR) and GCR were statistically significant in predicting mortality (p < 0.05). Disease stage, glucose, CRP, CLR and GCR were associated with overall survival. CRP, CLR and GCR were associated with progression-free survival (p < 0.05). In multivariate analysis, GCR was prognostic for PFS (p = 0.025). GCR was statistically significant while compared with the patient and healthy control group (p < 0.001).
conclusionIn cervical cancer, GCR rate was found to be prognostic independent of stage. Higher GCR rate was associated with longer PFS duration.
Indexed as
Identifiers
What OpenQuestion holds
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.