ReviewTranslational lung cancer research2014
Implementation of lung cancer screening: promises and hurdles.
Review in Translational lung cancer research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 9 citations in OpenAlex.
- Digital Decoding of Single Extracellular Vesicle Phenotype Differentiates Early Malignant and Benign Lung Lesions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
- Feasibility of implementing a national lung cancer screening program: Interim results from the Korean Lung Cancer Screening Project (K-LUCAS).Translational lung cancer research · 2021Article
- Emphysema quantification using chest CT: influence of radiation dose reduction and reconstruction technique.European radiology experimental · 2018Article
- Radiomics for Response and Outcome Assessment for Non-Small Cell Lung Cancer.Technology in cancer research & treatment · 2018Review
- Radiological Image Traits Predictive of Cancer Status in Pulmonary Nodules.Clinical cancer research : an official journal of the American Association for Cancer Research · 2017Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lung cancer screening is a subject of considerable interest in the medical community and the general population. Since the publication of the data from the national lung screening trial (NLST) in 2011, the interest in lung cancer screening has increased even more. Data from many sources provide evidence that low-dose computed tomography (LD-CT) lung cancer screening can be performed with even greater efficacy if inclusion criteria as well as nodule management are optimized. There are, however, also a number of potential hurdles for the implementation of lung cancer screening. Among these are, in particular, the high prevalence of screen-detected pulmonary nodules, the unknown extent of over-diagnosis, the potential harms of the cumulative radiation dose and the insufficient data on cost-efficiency of lung cancer screening. In this article, the most recent insights into some of the most imminent questions are reviewed to provide an understanding of the challenges we still face in lung cancer screening.
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.