ArticleBreast cancer (Dove Medical Press)2025
A Prognostic Nutritional Index-Based Nomogram to Predict Breast Cancer Metastasis: A Retrospective Cohort Validation.
Article in Breast cancer (Dove Medical Press), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Article
- Low prognostic nutritional index score is associated with lymph node metastasis in patients with breast cancer, whereas hemoglobin-albumin-lymphocyte-platelet score is not.Frontiers in oncology · 2026Article
- Association of neutrophil percentage-to-albumin ratio with distant metastasis and survival outcomes in breast cancer patients: a retrospective and prospective cohort study.Scientific reports · 2025Article
- Inflammatory and Nutritional Markers Predicting Pathological Complete Response to Neoadjuvant Therapy in HER2-Positive Breast Cancer: A Multicenter Real-World Study.Journal of clinical medicine · 2025Article
- Study on the link between neutrophil percentage to albumin ratio and acute kidney injury in severe ischemic stroke patients during hospitalization.Frontiers in neurology · 2025Article
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
Background: The prognostic nutritional index (PNI) is significantly associated with the prognosis of breast cancer (BC). However, the relationship between PNI and BC metastasis has not yet been thoroughly studied. This study aims to explore the role of PNI in BC metastasis and develop a predictive nomogram model. Methods: A retrospective cohort of 311 BC patients was analyzed. The restricted cubic spline (RCS) was utilized to explore the nonlinear relationships between PNI, geriatric nutritional risk index (GNRI), neutrophil percentage-to-albumin ratio (NPAR), hemoglobin, albumin, lymphocyte, and platelet (HALP) ratio and BC metastasis. Multivariate logistic regression analysis was conducted to identify the influencing factors of BC metastasis. A nomogram model was established and internally validated. The performance and clinical applicability of the model were assessed through the area under the receiver operating characteristic (ROC) curve (AUC), calibration curve, Hosmer-Lemeshow test, and decision curve analysis (DCA). Results: RCS analysis demonstrated nonlinear associations between PNI and HALP with BC metastasis (P for nonlinear < 0.05). PNI and other factors such as T and N stage etc. were identified as independent influencing factors for BC metastasis. The nomogram based on these factors demonstrated strong predictive ability, with the AUCs of 0.85 (95% confidence interval [CI] 0.79, 0.91) and 0.82 (95% CI 0.71, 0.93) in the training and validation set, respectively. The calibration curve, Hosmer-Lemeshow test, and DCA further confirmed its clinical utility. Conclusion: PNI is an independent predictor of BC metastasis. This PNI-based nomogram provides a practical and user-friendly tool for assessing BC metastasis risk.
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.