ArticleFrontiers in oncology2022
Development and validation of a nomogram for predicting pelvic lymph node metastasis and prognosis in patients with cervical cancer.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- An individualized prognostic model for survival prediction in gastric-type endocervical adenocarcinoma.Discover oncology · 2026Article
- Clinical Outcomes and Individualized Seed Implantation Planning for Iodine-125 Seeds Brachytherapy in Lymph Node Metastases.Journal of Cancer · 2026Article
- The differences of pelvic lymph node metastasis between squamous cell carcinoma and adenocarcinoma in early-stage cervical cancer patients undergoing radical surgery and adjuvant radiotherapy: a large cohort study.Therapeutic advances in medical oncology · 2026Article
- Restricted spectrum imaging and diffusion kurtosis imaging for assessing lymph node metastasis in cervical cancer: a histogram analysis-based study.BMC cancer · 2025Article
- The Effect of Bladder and Rectum Volume Changes on Exposed Organ Volume During Intensity-Modulated Radiotherapy for Cervical Cancer.Clinical Medicine Insights. Oncology · 2025Article
- Comprehensive analysis of mRNA and lncRNA expression for predicting lymph node metastasis in cervical cancer: a novel seven-gene signature approach.Frontiers in genetics · 2025Article
- Investigating the prognostic significance of examined lymph node count in elderly women with cervical carcinoma: a SEER population-based study.Frontiers in medicine · 2025Article
- Prediction of lymph node metastasis in operable cervical cancer using clinical parameters and deep learning with MRI data: a multicentre study.Insights into imaging · 2024Article
- Prognostic analysis of patients with stage IIIC1p cervical cancer treated by surgery.World journal of surgical oncology · 2023Article
- Identifying the risk factors and developing a predictive model for postoperative pelvic floor dysfunction in cervical cancer patients.Translational cancer research · 2023Article
- Current Update on PET/MRI in Gynecological Malignancies-A Review of the Literature.Current oncology (Toronto, Ont.) · 2023Review
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Cervical cancer (CC) is one of the main causes of death among gynecological malignancies. Patients with CC with lymph node metastasis (LNM) have poor prognoses. We investigated the risk factors and prognosis of LNM in patients with CC patients using data from the SEER database. Methods: We collected the information of cervical cancer patients registered in SEER database from 2010 to 2015. The dataset was divided into a training set and a validation set at a 7:3 ratio. LASSO regression analysis was used to evaluate risk factors for LNM in patients with CC. Using the results, we established a nomogram prediction model. C-index, ROC curves, calibration curves, decision curve analysis, and clinical impact curves were used to evaluate the prediction performance of the model. Results: We included 14,356 patients with CC in the analysis. Among these, 3997 patients were diagnosed with LNM. A training set (10,050 cases) and a validation set (4306 cases) were used for the following analysis. We established nomogram LNM prediction models for the patients with T Conclusion: We constructed a quantitative and visual predictive nomogram that predicted prognosis of patients with LNM in CC to provide clinicians with a reference for diagnosis and treatment.
Indexed as
Identifiers
What Socratic 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 Socratic graph.