Evidence map›Paper›PMID 34200018›Full record

ArticleCancers2021

CT-Detected Subsolid Nodules: A Predictor of Lung Cancer Development at Another Location?

Anton Schreuder, Mathias Prokop, Ernst T Scholten, Onno M Mets, Kaman Chung, Firdaus A A Mohamed Hoesein, Colin Jacobs, Cornelia M Schaefer-Prokop

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 35% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Anton SchreuderDepartment of Medical Imaging, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands.ORCID 0000-0002-6602-1977
Mathias ProkopDepartment of Medical Imaging, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands.
Ernst T ScholtenDepartment of Medical Imaging, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands.
Onno M MetsDepartment of Radiology and Nuclear Medicine, Academic Medical Center, 1105 AZ Amsterdam, The Netherlands.
Kaman ChungDepartment of Medical Imaging, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands.
Firdaus A A Mohamed HoeseinDepartment of Radiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.
Colin JacobsDepartment of Medical Imaging, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands.
Cornelia M Schaefer-ProkopDepartment of Medical Imaging, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands.
Radboud University Nijmegen · NLAmsterdam UMC Location University of Amsterdam · NLUniversity Medical Center Utrecht · NL

Funding

KWF Kankerbestrijding KUN 2013-6110
6 · The paper itself

Abstract

The purpose of this case-cohort study was to investigate whether the frequency and computed tomography (CT) features of pulmonary nodules posed a risk for the future development of lung cancer (LC) at a different location. Patients scanned between 2004 and 2012 at two Dutch academic hospitals were cross-linked with the Dutch Cancer Registry. All patients who were diagnosed with LC by 2014 and a random selection of LC-free patients were considered. LC patients who were determined to be LC-free at the time of the scan and all LC-free patients with an adequate scan were included. The nodule count and types (solid, part-solid, ground-glass, and perifissural) were recorded per scan. Age, sex, and other CT measures were included to control for confounding factors. The cohort included 163 LC patients and 1178 LC-free patients. Cox regression revealed that the number of ground-glass nodules and part-solid nodules present were positively correlated to future LC risk. The area under the receiver operating curve of parsimonious models with and without nodule type information were 0.827 and 0.802, respectively. The presence of subsolid nodules in a clinical setting may be a risk factor for future LC development in another pulmonary location in a dose-dependent manner. Replication of the results in screening cohorts is required for maximum utility of these findings.

Indexed as

biomarkerscomputed tomographyepidemiologylung neoplasmrisk

Identifiers

PMID34200018
PMCPMC8200192
OpenAlexW3173061777

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.