Evidence map›Paper›PMID 33859050›Full record

ArticleThorax2021

Lung cancer probability and clinical outcomes of baseline and new subsolid nodules detected on low-dose CT screening.

Yeon Wook Kim, Byoung Soo Kwon, Sung Yoon Lim, Yeon Joo Lee, Jong Sun Park, Young-Jae Cho, Ho Il Yoon, Kyung Won Lee, Jae Ho Lee, Jin-Haeng Chung and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Thorax, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 4% 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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 2 countries.

Yeon Wook KimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.ORCID 0000-0001-8333-4812
Byoung Soo KwonDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.
Sung Yoon LimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.
Yeon Joo LeeDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.
Jong Sun ParkDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.
Young-Jae ChoDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.
Ho Il YoonDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.
Kyung Won LeeDepartment of Radiology, Seoul National University Bundang Hospital, Seongnam, South Korea.
Jae Ho LeeDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.
Jin-Haeng ChungDepartment of Pathology and Translational Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea.
Eunjeong JiMedical Research Collaborating Center, Seoul National University Bundang Hospital, Seongnam, South Korea.
Choon-Taek LeeDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea ctlee@snu.ac.kr.ORCID 0000-0001-8030-3332
Seoul National University · KRSeoul National University Bundang Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLimited data are available regarding the management of subsolid nodules detected on lung cancer screening with low-dose CT (LDCT). We aimed to determine the characteristics of screen-detected subsolid nodules, and to evaluate the probability of lung cancer and the clinical course of subsolid nodules detected at baseline and during follow-up screening.

methodsWe evaluated 50 132 asymptomatic adults (22 631 never-smokers and 27 501 ever-smokers) who underwent LDCT screening for lung cancer between May 2003 and June 2019 at a tertiary centre in South Korea. The incidence, characteristics and clinical outcomes of the baseline and new screen-detected subsolid nodules were determined.

resultsA total of 6725 subsolid nodules (5116 pure ground glass opacity nodules and 1609 part-solid nodules) were detected in 4545 participants (1484 new subsolid nodules detected in 937 (1.9%) participants; the overall incidence of subsolid nodules: 10.7% in never-smokers and 7.7% in ever-smokers, p<0.001). Among 4918 subsolid nodules that underwent follow-up with CT scans (the mean number of CT scans, including the baseline LDCT scan: 4.6), 2116 nodules (30.0% of baseline subsolid nodules and 78.9% of new subsolid nodules) resolved spontaneously. Among 293 biopsied subsolid nodules, 227 (77.5%) nodules were diagnosed as lung cancer, of which 226 (99.6%) were adenocarcinomas. No significant difference was observed in pathological invasiveness or the initial stage between the baseline and new cancerous subsolid nodules. Multivariable analyses revealed that new detection at follow-up screening was significantly associated with a lower probability of lung cancer (OR 0.26, 95% CI 0.14 to 0.49) and overall growth (OR 0.39, 95% CI 0.26 to 0.59), but with a higher probability of resolution (OR 6.30, 95% CI 5.09 to 7.81).

conclusionsLDCT screening led to a considerably high rate of subsolid nodule detection, particularly in never-smokers. Compared with the baseline subsolid nodules, the new subsolid nodules were associated with a lower probability of lung cancer and higher probability of spontaneous resolution, indicating their more inflammatory nature. Less aggressive follow-up may be allowed for new subsolid nodules, particularly in screening programmes for Asian populations.

Indexed as

Early Detection of CancerLung NeoplasmsHumansMass ScreeningProbabilityTomography, X-Ray Computedlung cancer

Identifiers

PMID33859050
PMCPMC8461405
OpenAlexW3156794939

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.