Evidence map›Paper›PMID 42400767›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2026

External validation of a nomogram for de novo bone metastasis in breast cancer: a single-center Mexican cohort.

Adrián Canizalez-Román, Romina Llanes-Cardenas, Francisco Antonio Martínez-Villa, Diego Arriaga-Izabal

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Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Adrián Canizalez-RománResearch Department, The Women's Hospital, Culiacán, Mexico.ORCID http://orcid.org/0000-0001-8605-0639
Romina Llanes-CardenasGynecology Department, Women's Hospital of Sinaloa, Culiacán, Mexico.
Francisco Antonio Martínez-VillaFamily Medicine Unit No. 46, Mexican Social Security Institute, Culiacán, Mexico.
Diego Arriaga-IzabalFaculty of Medicine, Autonomous University of Sinaloa, Culiacán, Mexico. diego_arriza@outlook.com.ORCID http://orcid.org/0000-0002-0929-6384

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAccurate identification of breast cancer patients at risk of de novo bone metastasis (BM) may support staging and treatment planning. The current study externally validated a previously published nomogram in a Mexican cohort of women with newly diagnosed breast cancer.

methodsA retrospective external validation study was conducted in women diagnosed at a tertiary referral cancer center in Mexico during 2023. Model performance was evaluated through discrimination, calibration, and clinical utility. Discrimination was assessed using the area under the receiver operating characteristic curve (AUC-ROC) and precision-recall curve (AUC-PR). Calibration was evaluated using calibration intercept and slope, calibration plots, and logistic recalibration. Decision curve analysis assessed clinical utility. A sensitivity analysis excluding surgery status was also performed.

resultsThe validation cohort included 293 patients, of whom 11 (3.8%) presented with de novo bone metastasis. The original model demonstrated moderate discrimination (AUC-ROC 0.81, 95% CI 0.67-0.96; AUC-PR 0.32, 95% CI 0.05-0.66). In the sensitivity analysis, AUC-ROC remained similar (0.80; 95% CI 0.66-0.95), whereas AUC-PR decreased to 0.23 (95% CI 0.03-0.52). Calibration was suboptimal, with a calibration intercept of -2.99 and a slope of 0.90, indicating systematic overestimation of risk. Recalibration improved agreement between predicted and observed risks. Clinical utility was comparable across models, with modest improvements after recalibration.

conclusionsThe nomogram maintained reasonable discrimination but exhibited substantial calibration drift in this independent Mexican cohort. External validation and recalibration may be necessary before implementation in populations distinct from those used for model development.

Indexed as

Breast cancerDe novo bone metastasisExternal validationMexico

Identifiers

PMID42400767

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