ArticleUpdates in surgery2026
Primary tumor resection is associated with improved survival in de novo lung metastatic breast cancer.
Article in Updates in surgery, 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.
- Omission of core authorship and paradigm shifts like TROPIS in anal fistula bibliometric analysis.Updates in surgery · 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The role of primary tumor resection (PTR) in patients with de novo stage IV breast cancer remains controversial, and evidence from randomized trials is inconsistent. Whether PTR is associated with improved survival in clinically defined subgroups such as lung-only metastatic disease warrants further investigation. Using the SEER database, we identified patients diagnosed with stage IV breast cancer between 2010 and 2020 with metastases confined to the lungs at diagnosis. Patients with bone, liver, brain, or other distant metastases were excluded. Overall survival (OS) and breast cancer-specific survival (CSS) were estimated using Kaplan-Meier methods and compared by log-rank tests. Cox proportional hazards models were used to evaluate factors associated with OS. Temporal trends in PTR utilization and year-specific survival were examined. Predictors of receiving PTR were assessed using multivariable logistic regression. A total of 1,479 eligible patients were included; 588 (39.8%) underwent PTR and 891 (60.2%) did not. Median OS was 48 months in the PTR group versus 30 months in the no-surgery group. Median CSS was 53 months versus 33 months, respectively. On multivariable Cox regression, primary tumor resection was associated with improved OS (HR 0.63, 95% CI 0.54-0.73; P < 0.001). The annual PTR rate decreased from 58.1% in 2010 to 25.6% in 2020, while estimated 3-year OS increased from 38.5% (2010) to 55.7% (2019). In multivariable logistic regression, PTR was more likely among patients with young-onset breast cancer (YBC) status (adjusted OR 1.67, 95% CI 1.08-2.56; P = 0.020) and those receiving radiation therapy (adjusted OR 26.47, 95% CI 16.81-43.84; P < 0.001), but less likely in later diagnosis years (2014-2017: adjusted OR 0.55, 95% CI 0.41-0.73; P < 0.001; 2018-2020: adjusted OR 0.36, 95% CI 0.26-0.50; P < 0.001). In this selected cohort of chemotherapy-treated patients with de novo stage IV breast cancer and lung-only metastasis, PTR was associated with longer OS and CSS. However, this association should be interpreted cautiously, as lung-only metastatic disease may represent a surrogate marker of favorable disease biology and treatment selection. Given the observational nature of the study, the findings should be regarded as hypothesis-generating rather than practice-changing and warrant prospective validation in carefully selected patients.
Indexed as
Identifiers
42479130What 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.