Evidence map›Paper›PMID 36299411›Full record

ArticleCanadian respiratory journal2022

Feasibility of Using High-Resolution Computed Tomography Features for Invasiveness Differentiation of Malignant Nodules Manifesting as Ground-Glass Nodules.

Xinyue Chen, Benbo Yao, Juan Li, Chunxiao Liang, Rui Qi, Jianqun Yu

Abstract read
In one paragraph

Article in Canadian respiratory journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

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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

6 authors.

Xinyue ChenCT Collaboration NE Asia, Siemens Healthineers, Chengdu, China.
Benbo YaoDepartment of Radiology, Zigong Fourth People's Hospital, Zigong, China.
Juan LiDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Chunxiao LiangDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Rui QiDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Jianqun YuDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, China.ORCID 0000-0001-8767-7046

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ground-glass nodule (GGN)-like adenocarcinoma is a special subtype of lung cancer. The invasiveness of the nodule correlates well with the patient's prognosis. This study aimed to establish a radiomic model for invasiveness differentiation of malignant nodules manifesting as ground glass on high-resolution computed tomography (HRCT). Between January 2014 and July 2019, 276 pulmonary nodules manifesting as GGNs on preoperative HRCTs, whose histological results were available, were collected. The nodules were randomly classified into training (

Indexed as

AdenocarcinomaLung NeoplasmsDiagnosis, DifferentialFeasibility StudiesHumansNeoplasm InvasivenessRetrospective StudiesTomography, X-Ray Computed

Identifiers

PMID36299411
PMCPMC9592239

What OpenQuestion holds

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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.