ArticleThe Lancet. Oncology2020
The role and contribution of treatment and imaging modalities in global cervical cancer management: survival estimates from a simulation-based analysis.
Article in The Lancet. Oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 4 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
35 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Patient-level simulation models in cancer care: a systematic review.Frontiers in public health · 2025Pooled it
- What is the role of circRNAs in the pathogenesis of cervical cancer? A systematic literature review.Frontiers in genetics · 2024Pooled it
- Digital health interventions for cervical cancer care: A systematic review and future research opportunities.PloS one · 2023Pooled it
- The pharmacological properties and corresponding mechanisms of farrerol: a comprehensive review.Pharmaceutical biology · 2022Pooled it
- Abbreviated T2w-only pelvic MRI for local tumor staging of cervical cancer: a pragmatic approach for time-critical and resource-limited settings.Abdominal radiology (New York) · 2026Article
- Para-Aortic Lymph Node Staging and Oncologic Outcomes in Locally Advanced Cervical Cancer: A Narrative Review.Cancers · 2026Review
- Preoperative staging of cervical cancer: time to shift from cystoscopy to MRI.European radiology · 2026Article
- An individualized prognostic model for survival prediction in gastric-type endocervical adenocarcinoma.Discover oncology · 2026Article
- Article
- Development and validation of the risk stratification based on deep learning and radiomics to predict survival of advanced cervical cancer.Scientific reports · 2025Article
- Gap junction protein beta 5 interacts with Gαi3 to promote Akt activation and cervical cancer cell growth.Cell death & disease · 2025Article
- [Global disease burden of cervical cancer and the association of screening coverage with quality of disease management].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2025Article
- RUNX1 promotes proliferation of cervical cancer through TGFB2-MAPK pathway.Scientific reports · 2025Article
- PARP1 acetylation at K119 is essential in regulating the progression and proliferation of cervical cancer cells.Medical oncology (Northwood, London, England) · 2024Article
- Multimodal MRI-based deep-radiomics model predicts response in cervical cancer treated with neoadjuvant chemoradiotherapy.Scientific reports · 2024Article
- Development and validation of nomograms to recurrence and survival in patients with early-stage cervical adenocarcinoma.Journal of cancer research and clinical oncology · 2023Article
- Hsa_circ_0000078 Regulates miR-205-5p/EREG Pathway to Inhibit Cervical Cancer Progression.Molecular biotechnology · 2023Article
- The association of cervical cancer screening and quality of care: A systematic analysis of the Global Burden of Disease Study 2019.Journal of global health · 2023Article
- A case of rare metachronous four primary carcinoma.Journal of cancer research and clinical oncology · 2023Article
- Expression Level of lncRNA CYTOR in Iranian Cervical Cancer Patients.Reports of biochemistry & molecular biology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
backgroundCervical cancer is the fourth most common cancer among women worldwide, causing more than 300 000 deaths globally each year. In addition to screening and prevention, effective cancer treatment is needed to reduce cervical cancer mortality. We discuss the role of imaging in cervical cancer management and estimate the potential survival effect of scaling up imaging in several different contexts.
methodsUsing a previously developed microsimulation model of global cancer survival, we estimated stage-specific cervical cancer 5-year net survival in 200 countries and territories. We evaluated the potential survival effect of scaling up treatment (chemotherapy, surgery, radiotherapy, and targeted therapy), and imaging modalities (ultrasound, x-ray, CT, MRI, PET, and single photon emission CT [SPECT]) to the mean level of high-income countries, both individually and in combination.
findingsWe estimate global cervical cancer 5-year net survival as 42·1% (95% uncertainty interval [UI] 33·8-48·5). Among individual imaging modalities, expanding MRI would yield the largest 5-year survival gains globally (data are absolute percentage point increase in survival 0·6, 95% UI 0·1-2·1), scaling up ultrasound would yield the largest gains in low-income countries (0·5, 0·0-3·7), expanding CT and x-ray would have the greatest effect in Latin America (0·8, 0·0-3·4) and Oceania (0·4, 0·0-3·2), and expanding PET would yield the largest gains in high-income countries (0·2, 0·0-0·8). Scaling up SPECT did not show major changes in any region. Among individual treatment modalities, scaling up radiotherapy would yield the largest absolute percentage point gains in low-income countries (5·2, 0·3-13·5), and expanding surgery would have the largest effect in lower-middle-income countries (7·4, 0·3-21·1) and upper-middle-income countries (0·8, 0·0-2·9). Estimated survival gains in high-income countries were very modest. However, the gains from expanding any single treatment or imaging modality individually were small across all income levels and geographical settings. Scaling up all treatment modalities could improve global 5-year net survival to 52·4% (95% UI 44·6-62·0). In addition to expanding treatment, improving quality of care could raise survival to 57·5% (51·2-63·5), and the cumulative effect of scaling up all imaging modalities together with expanded treatment and quality of care could improve 5-year net survival for cervical cancer to 62·5% (57·7-67·8).
interpretationComprehensive scale-up of treatment, imaging, and quality of care could substantially improve global cervical cancer 5-year net survival, with quality of care and imaging improvements each contributing about 25% of the total potential gains. These findings suggest that a narrow focus on the availability of treatment modalities could forgo substantial survival gains. Investments in imaging equipment, personnel, and quality of care efforts will also be needed to successfully scale up cervical cancer treatment worldwide.
fundingHarvard T H Chan School of Public Health and National Cancer Institute.
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.