SynthesisFrontiers in medicine2022
Survival of Patients With Cervical Cancer Treated With Definitive Radiotherapy or Concurrent Chemoradiotherapy According to Histological Subtype: A Systematic Review and Meta-Analysis.
Synthesis in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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
15 citing papers in PubMed, 20 citations in OpenAlex.
- Article
- Construction and validation of a novel prognostic risk model in cervical cancer: integrating lactylation-related genes linked to radiotherapy‑associated transcriptional changes.Discover oncology · 2026Article
- Cellular plasticity and heterogeneity underlying therapy resistance in 3D cervical cancer models.Hereditas · 2026Review
- Article
- Single-Cell Transcriptomic Landscape of Cervical Cancer Cell Lines Before and After Chemoradiotherapy.Cells · 2026Article
- Development and Validation of a Nomogram Integrating Body Composition and Inflammatory Markers to Predict Concurrent Chemoradiotherapy Response in Locally Advanced Cervical Cancer.Cancer management and research · 2026Article
- Impact of laparoscopic versus open surgery on 5-year survival in patients with stage IA2-IB1 cervical cancer: a retrospective cohort study.American journal of cancer research · 2026Article
- MicroRNA-628-5p Regulates Proliferation, Apoptosis and Invasion in Hela Cells.Iranian journal of biotechnology · 2026Article
- Added value of radiological staging to clinical examination in different histopathological subtypes of uterine cervical cancer: A retrospective study.European journal of obstetrics & gynecology and reproductive biology: X · 2025Article
- miR-218-5p, miR-124-3p and miR-23b-3p act synergistically to modulate the expression of NACC1, proliferation, and apoptosis in C-33A and CaSki cells.Non-coding RNA research · 2024Article
- Article
- Preclinical investigation of patient-derived cervical cancer organoids for precision medicine.Journal of gynecologic oncology · 2023Article
- Gastric-Type Adenocarcinoma of the Uterine Cervix Associated with Poor Response to Definitive Radiotherapy.Cancers · 2022Article
- Treatment Outcomes of Computer Tomography-Guided Brachytherapy in Cervical Cancer in Hong Kong: A Retrospective Review.Cancers · 2022Article
- Licoricidin Enhances Paclitaxel-induced Apoptosis Through Endoplasmic Reticulum Stress in Human Cervical Cancer Cells.In vivo (Athens, Greece)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Cervical cancer is a leading cause of morbidity and mortality for women worldwide. Different histopathological cervical cancer subtypes (i.e., adenocarcinoma/adenosquamous carcinoma, and squamous cell carcinoma) are all treated similarly with definitive radiotherapy or concurrent chemoradiotherapy, but studies have reported differing survival prognoses. In this review and meta-analysis, we compared the disease-free and overall survivals of patients with cervical cancer treated with definitive radiotherapy or concurrent chemoradiotherapy according to the histopathological subtypes. Objective: To compare the disease-free and overall survivals of patients with adenocarcinoma/adenosquamous carcinoma and squamous cell carcinoma cervical cancer treated with definitive radiotherapy or concurrent chemoradiotherapy. Methods: We systematically searched the Web of Science, EMBASE, CENTRAL, Scopus, and MEDLINE academic databases following PRISMA guidelines. We identified publications to conduct a random-effects meta-analysis to evaluate the disease-free and overall survivals of patients with cervical adenocarcinoma/adenosquamous carcinoma and squamous cell carcinoma treated with definitive radiotherapy or concurrent chemoradiotherapy. Results: From 963 studies, we found eight eligible ones with 13,859 patients with cervical cancer (mean age, 52.2 ± 7.9 years). Our meta-analysis revealed a poorer outcome of disease-free (hazard ratio, 1.51; 95% CI, 1.28-1.79) and overall (hazard ratio 1.41; 95% CI, 1.26-1.57) survivals for patients with adenocarcinoma/adenosquamous carcinoma undergoing definitive radiotherapy or concurrent chemoradiotherapy than for those with squamous cell carcinoma undergoing similar treatments. We also observed that larger tumor size and advanced tumor stage are also significant prognostic factors that adversely impact survival outcomes in cervical cancer patients undergoing definitive radiotherapy or concurrent chemoradiotherapy. Conclusion: Our results show poor disease-free and overall survivals for patients with cervical cancer and adenocarcinoma/adenosquamous carcinoma than for those with squamous cell carcinoma after treatment with definitive radiotherapy or concurrent chemoradiotherapy. Our findings clarify the risks associated with the conventional management of cervical cancer according to the histological type.
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.