SynthesisFrontiers in oncology2020
The Natural Growth of Subsolid Nodules Predicted by Quantitative Initial CT Features: A Systematic Review.
Synthesis in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 12 citations in OpenAlex.
- Assessment of risk factors in persistent subsolid pulmonary nodules based on CT dynamic follow-up.BMC medical imaging · 2026Article
- A narrative review on CT-based evaluation and prediction of lung nodule growth: current status and future directions.Translational lung cancer research · 2026Review
- Artificial intelligence-based density proportion analysis in predicting the invasiveness of neoplastic ground-glass nodules.Translational lung cancer research · 2026Article
- Natural course of lung adenocarcinoma manifesting as ground-glass nodules: invasiveness assessment based on growth evaluation.Translational lung cancer research · 2025Article
- Identifying invasive lung adenocarcinomas manifesting as part-solid nodules by measuring the size of multiple solid portions and maximum solid portions.Quantitative imaging in medicine and surgery · 2025Article
- Prediction of the stage shift growth of early-stage lung adenocarcinomas by volume-doubling time.Quantitative imaging in medicine and surgery · 2024Article
- Managing Persistent Subsolid Nodules in Lung Cancer: Education, Decision Making, and Impact of Interval Growth Patterns.Diagnostics (Basel, Switzerland) · 2023Review
- Dual-layer spectral detector CT (SDCT) can improve the detection of mixed ground-glass lung nodules.Journal of cancer research and clinical oncology · 2023Article
- Software-based quantitative CT analysis to predict the growth trend of persistent nonsolid pulmonary nodules: a retrospective study.La Radiologia medica · 2023Article
- The natural growth history of persistent pulmonary subsolid nodules: Radiology, genetics, and clinical management.Frontiers in oncology · 2022Review
- Deep learning-based growth prediction for sub-solid pulmonary nodules on CT images.Frontiers in oncology · 2022Article
- The Growth Trend Predictions in Pulmonary Ground Glass Nodules Based on Radiomic CT Features.Frontiers in oncology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.