ArticleCancer prevention research (Philadelphia, Pa.)2014
Indeterminate pulmonary nodules: risk for having or for developing lung cancer?
Article in Cancer prevention research (Philadelphia, Pa.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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
27 citing papers in PubMed.
- A multivariate cell-based liquid biopsy for lung nodule risk stratification: Analytical validation and early clinical evaluation.The journal of liquid biopsy · 2025Article
- Exploratory Algorithms to Aid in Risk of Malignancy Prediction for Indeterminate Pulmonary Nodules.Cancers · 2025Article
- Performance of Lung Cancer Prediction Models for Screening-detected, Incidental, and Biopsied Pulmonary Nodules.Radiology. Artificial intelligence · 2025Article
- Curating retrospective multimodal and longitudinal data for community cohorts at risk for lung cancer.Cancer biomarkers : section A of Disease markers · 2025Article
- An Integrated Nomogram Combining Deep Learning and Radiomics for Predicting Malignancy of Pulmonary Nodules Using CT-Derived Nodules and Adipose Tissue: A Multicenter Study.Cancer medicine · 2024Article
- Synthetic PET from CT improves diagnosis and prognosis for lung cancer: Proof of concept.Cell reports. Medicine · 2024Article
- Economic Evaluation of a Novel Lung Cancer Diagnostic in a Population of Patients with a Positive Low-Dose Computed Tomography Result.Journal of health economics and outcomes research · 2024Article
- Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2023Article
- TP53 mutation prevalence in normal airway epithelium as a biomarker for lung cancer risk.BMC cancer · 2023Article
- Quantifying emphysema in lung screening computed tomography with robust automated lobe segmentation.Journal of medical imaging (Bellingham, Wash.) · 2023Article
- Metabolomic differentiation of benign vs malignant pulmonary nodules with high specificity via high-resolution mass spectrometry analysis of patient sera.Nature communications · 2023Article
- Improving Lung Cancer Diagnosis with CT Radiomics and Serum Histoplasmosis Testing.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023Article
- Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography.Proceedings of SPIE--the International Society for Optical Engineering · 2023Article
- Improving malignancy risk prediction of indeterminate pulmonary nodules with imaging features and biomarkers.Clinica chimica acta; international journal of clinical chemistry · 2022Article
- A model based on the quantification of complement C4c, CYFRA 21-1 and CRP exhibits high specificity for the early diagnosis of lung cancer.Translational research : the journal of laboratory and clinical medicine · 2021Article
- Tumor-derived Autoantibodies Identify Malignant Pulmonary Nodules.American journal of respiratory and critical care medicine · 2019Article
- Artificial intelligence in cancer imaging: Clinical challenges and applications.CA: a cancer journal for clinicians · 2019Review
- Using Sequential Decision Making to Improve Lung Cancer Screening Performance.IEEE access : practical innovations, open solutions · 2019Article
- The clinical significance of indeterminate pulmonary nodules in melanoma patients at baseline and during follow-up chest CT.European journal of radiology open · 2019Article
- A Gene Expression Classifier from Whole Blood Distinguishes Benign from Malignant Lung Nodules Detected by Low-Dose CT.Cancer research · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
This perspective discusses the report by Pinsky and colleagues, which addresses whether noncalcified pulmonary nodules identified on CT screening carry short- and long-term risk for lung cancer. We are facing challenges related to distinguishing a large majority of benign nodules from malignant ones and among those a majority of aggressive from indolent cancers. Key questions in determining individual probabilities of disease, given their history, findings on CT, and upcoming biomarkers of risk, remain most challenging. Reducing the false positives associated with current low-dose computed tomography practices and identification of individuals who need therapy and at what time during tumor surveillance could reduce costs and morbidities associated with unnecessary interventions.
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.