ArticleJournal of thoracic disease2023
Tumor volume doubling time as a potential predictor of prognosis in clinical stage I lung squamous cell carcinoma.
Article in Journal of thoracic disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- The role of growth heterogeneity in solid nodular non-small cell lung cancer in clinical practice: a narrative review.Journal of thoracic disease · 2026Review
- CRISPR-StAR enables high-resolution genetic screening in complex in vivo models.Nature biotechnology · 2025Article
- Tumor Volume Doubling Time of Less Than 1 Year Is Associated With a Higher Risk of Death From Medullary Thyroid Cancer.The Journal of clinical endocrinology and metabolism · 2025Article
- Advancing humanized 3D tumor modeling using an open access xeno-free medium.Frontiers in toxicology · 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: Tumor volume doubling time (VDT) has been shown to predict prognosis in various non-small cell lung carcinoma with scant evidence for lung squamous cell carcinoma (SCC). The purpose of this study was to investigate the prognostic value of tumor VDT in resected lung SCCs. Methods: In this study, subjects were 51 patients who underwent lobectomy for clinical stage I SCC of the peripheral lung at our institution between January 2006 and April 2020. Univariable and multivariable analyses of overall survival (OS) and recurrence-free survival (RFS) were performed using the Cox proportional hazards model. The Kaplan-Meier method was used to create OS and RFS curves and to determine statistical significance. The cut-off value of VDT was defined by receiver operating characteristic (ROC) curve analysis on survival. Results: Multivariable analysis found only VDT (HR, 0.990; 95% CI: 0.979-0.997) to be an independent predictor of OS. Also, only VDT (HR, 0.989; 95% CI: 0.978-0.995) was an independent predictor of RFS. The 5-year OS rates were 88.4% and 30.4% in the long (≥150 days) and short (<150 days) VDT groups, respectively (P=0.002). The 5-year RFS rates were 88.8% and 26.5% in the long (≥150 days) and short (<150 days) VDT groups, respectively (P<0.001). Conclusions: Tumor VDT was found to be a useful prognostic predictor in clinical stage I lung SCC in this study.
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.