ArticleCancer management and research2020
A Nomogram to Predict the Probability of Breast Intraductal Tumors in Patients with Nipple Discharge: A Real-World Study Based on Our 13-Year Clinical Experience.
Article in Cancer management and research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- The diagnostic value of cytology in the mammary intraductal lesions of patients with pathological nipple discharge.Scientific reports · 2025Article
- A retrospective study of ductoscopy combined with immediate methylene blue staining in nipple discharge diseases.Scientific reports · 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
No grant is acknowledged in the PubMed record.
Abstract
introductionNipple discharge is a common symptom of breast disease. We aimed to perform a descriptive statistical analysis of the cases we evaluated and establish a model to predict intraductal tumors. MATERIALS AND
methodsWe conducted a retrospective study of patients from 2007 to 2019. In total, 1333 patients who completed the fiberoptic ductoscopy (FDS) were evaluated. The variables were analyzed by
resultsPatients with spontaneous, single-duct, bloody discharge and a smooth ductal wall were more likely to be diagnosed with tumors by ductoscopy. A model was established based on five variables: age, side of discharge, spontaneous discharge status, duration of discharge, and color of discharge. The model was subsequently validated in 183 patients with complete data on the variables in the validation cohort. The area under the ROC curve (AUC) was calculated to be 0.716, indicating good predictive ability.
conclusionPatients with the clinical characteristics of unilateral, bloody, single-duct, spontaneous discharge and a smooth ductal wall were more likely to have intraductal tumors by ductoscopy. Our nomogram can effectively predict intraductal tumors in patients with nipple discharge.
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.