ArticleJournal of surgical oncology2026
The Role of Primary Tumor Resection in De Novo Bone-Only Metastatic Breast Cancer: A Propensity Score-Matched Analysis.
Article in Journal of surgical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- The Role of Primary Tumor Resection in De Novo Bone-Only Metastatic Breast Cancer: A Propensity Score-Matched Analysis.Journal of surgical oncology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo evaluate the impact of primary tumor resection (PTR) on overall survival (OS) and cancer-specific survival (CSS) in women with de novo bone-only metastatic breast cancer (MBC).
methodsWomen diagnosed with de novo bone-only metastatic breast cancer between 2010 and 2017 were identified from the Surveillance, Epidemiology, and End Results (SEER) database. Patients were included if they had bone metastasis at diagnosis but no lung, liver, or brain involvement. Primary tumor resection was defined as any cancer-directed breast surgery. Propensity scores were calculated using multivariable logistic regression incorporating demographics, tumor features, and treatment factors, followed by 1:1 nearest-neighbor matching (caliper = 0.2 SD). Kaplan-Meier, Cox proportional hazards, and restricted mean survival time (RMST) analyses assessed overall survival (OS) and cancer-specific survival (CSS). Time-dependent ROC curves (timeROC) evaluated model discrimination. Determinants of PTR were examined using multivariable logistic regression.
resultsA total of 3296 women with de novo bone-only metastatic breast cancer were included (1252 with PTR; 2044 without). After 1:1 matching, 2002 well-balanced patients remained (1001 per group). Median OS and CSS were significantly longer among patients undergoing surgery (OS: 69 vs. 39 months; CSS: 76 vs. 41 months; both p < 0.0001). PTR remained an independent predictor of improved OS (HR = 0.54, 95% CI 0.48-0.60, p < 0.001), with consistent benefit across subgroups. RMST differences (surgery - no surgery) increased with time, reaching 9.05 months for OS and 8.79 months for CSS at 60 months. Model discrimination was acceptable (AUCs for OS: 0.753, 0.734, 0.717 at 1-, 3-, and 5-years). Radiation therapy was positively associated with PTR (OR = 1.37, 95% CI 1.12-1.68, p = 0.002), whereas well/moderate grade predicted lower odds (OR = 0.80, 95% CI 0.66-0.99, p = 0.036).
conclusionsIn this large SEER-based propensity-matched analysis, primary tumor resection was associated with significantly improved overall and cancer-specific survival among women with de novo bone-only metastatic breast cancer. These findings suggest that selected patients with isolated bone metastasis may benefit from locoregional surgery, warranting further prospective validation.
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.