Evidence map›Paper›PMID 38206165›Full record

ArticleRadiology. Cardiothoracic imaging2024

Evaluation of Prognosis in Patients with Lung Adenocarcinoma with Atypical Solid Nodules on Thin-Section CT Images.

Mengwen Liu, Lin Yang, Xujie Sun, Xin Liang, Cong Li, Qianqian Feng, Meng Li, Li Zhang

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology. Cardiothoracic imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Radiology. Cardiothoracic imaging · 2025
    Review
  2. 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 1 institution in 2 countries.

Mengwen LiuFrom the Department of Diagnostic Radiology (M. Liu, Q.F., M. Li, L.Z.), Department of Pathology (L.Y., X.S.), Medical Statistics Office (X.L.), and Medical Records Room (C.L.), National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China.ORCID 0000-0001-8006-5995
Lin YangFrom the Department of Diagnostic Radiology (M. Liu, Q.F., M. Li, L.Z.), Department of Pathology (L.Y., X.S.), Medical Statistics Office (X.L.), and Medical Records Room (C.L.), National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China.
Xujie SunFrom the Department of Diagnostic Radiology (M. Liu, Q.F., M. Li, L.Z.), Department of Pathology (L.Y., X.S.), Medical Statistics Office (X.L.), and Medical Records Room (C.L.), National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China.
Xin LiangFrom the Department of Diagnostic Radiology (M. Liu, Q.F., M. Li, L.Z.), Department of Pathology (L.Y., X.S.), Medical Statistics Office (X.L.), and Medical Records Room (C.L.), National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China.
Cong LiFrom the Department of Diagnostic Radiology (M. Liu, Q.F., M. Li, L.Z.), Department of Pathology (L.Y., X.S.), Medical Statistics Office (X.L.), and Medical Records Room (C.L.), National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China.ORCID 0000-0002-3699-4874
Qianqian FengFrom the Department of Diagnostic Radiology (M. Liu, Q.F., M. Li, L.Z.), Department of Pathology (L.Y., X.S.), Medical Statistics Office (X.L.), and Medical Records Room (C.L.), National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China.
Meng Li *From the Department of Diagnostic Radiology (M. Liu, Q.F., M. Li, L.Z.), Department of Pathology (L.Y., X.S.), Medical Statistics Office (X.L.), and Medical Records Room (C.L.), National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China.ORCID 0000-0001-7592-2091
Li Zhang *From the Department of Diagnostic Radiology (M. Liu, Q.F., M. Li, L.Z.), Department of Pathology (L.Y., X.S.), Medical Statistics Office (X.L.), and Medical Records Room (C.L.), National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China.ORCID 0000-0001-7700-0357
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose To evaluate the clinicopathologic characteristics and prognosis of patients with clinical stage IA lung adenocarcinoma with atypical solid nodules (ASNs) on thin-section CT images. Materials and Methods Data from patients with clinical stage IA lung adenocarcinoma who underwent resection between January 2005 and December 2012 were retrospectively reviewed. According to their manifestations on thin-section CT images, nodules were classified as ASNs, subsolid nodules (SSNs), and typical solid nodules (TSNs). The clinicopathologic characteristics of the ASNs were investigated, and the differences across the three groups were analyzed. The Kaplan-Meier method and multivariable Cox analysis were used to evaluate survival differences among patients with ASNs, SSNs, and TSNs. Results Of the 254 patients (median age, 58 years [IQR, 53-66]; 152 women) evaluated, 49 had ASNs, 123 had SSNs, and 82 had TSNs. Compared with patients with SSNs, those with ASNs were more likely to have nonsmall adenocarcinoma (

Indexed as

AdenocarcinomaAdenocarcinoma of LungLung NeoplasmsFemaleHumansMiddle AgedPrognosisRetrospective StudiesTomography, X-Ray ComputedAdenocarcinomaAtypical Solid NodulesCTDisease-free SurvivalLungPrognosisPulmonary

Identifiers

PMID38206165
PMCPMC10912885
OpenAlexW4390764477

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.