ArticleCancer control : journal of the Moffitt Cancer Center
Development and Validation of a Nomogram Model for Predicting Non-keratinizing Nasopharyngeal Carcinoma by Combining Sex and Three EB Virus Antibodies.
Article in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
IntroductionEarly diagnosis of non-keratinizing nasopharyngeal carcinoma (NK-NPC) is a significant clinical challenge. This study assessed combined antibodies and built a nomogram for more accurate NK-NPC screening.MethodsClinical data of 1330 individuals at high risk of nasopharyngeal carcinoma (NPC) from June 2021 to December 2024 were collected retrospectively. They were randomly divided into a training set (n = 930) and a validation set (n = 400) at a ratio of 7:3. The training set was further divided into the NK-NPC group and the non-NK-NPC group. Univariate and multivariate analyses were used to screen for risk factors of cancer, based on which a risk prediction nomogram model was constructed. The predictive performance of the model was evaluated using indicators such as the area under the receiver operating characteristic curve (AUC), integrated discrimination improvement (IDI), decision curve analysis (DCA), and Youden index. Additionally, an external validation set (cases from January-May 2025 at the same hospital) further assessed the model.ResultsSex, EBNA1-IgA, VCA-IgA, and Rta-IgG were independent risk factors for NK-NPC in high-risk populations (
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.