Evidence map›Paper›PMID 32773007›Full record

ArticleZhongguo fei ai za zhi = Chinese journal of lung cancer2020

[Clinical-radiological-pathological Characteristics of 297 Cases of Surgical Pathology Confirmed Benign Pulmonary Lesions in Which Malignancy Could Not Be Excluded in Preoperative Assessment: A Retrospective Cohort Analysis in a Single Chinese Hospital].

Yongjian Liu, Minjiang Chen, Chao Guo, Wei Zhong, Qiuyue Ye, Jing Zhao, Qing Zhou, Xiaoxing Gao, Xiaoyan Liu, Hongge Liang and 6 more

Open access · greenAbstract read
In one paragraph

Article in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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

16 authors at 2 institutions in 1 country.

Yongjian Liu *Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Minjiang Chen *Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Chao Guo *Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Wei ZhongDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Qiuyue YeDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Jing ZhaoDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Qing ZhouDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Xiaoxing GaoDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Xiaoyan LiuDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Hongge LiangDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Yuequan ShiDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Delina JiangDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Hongsheng LiuDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Yan XuDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Shanqing LiDepartment of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Mengzhao WangDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Peking Union Medical College Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLow dose computed tomography (LDCT) for lung cancer screening is widely employed in China as a result of increasing cancer screening awareness. Although some pulmonary lesions detected by LDCT are cancerous, most of the pulmonary nodules are benign. It is important to make effective preoperative differentiation of pulmonary lesions and to obviate the need for surgery in some patients with benign disease.

methodsFrom January 1, 2017 to December 31, 2018, patients in our institution with surgical pathology confirmed benign pulmonary lesions in which malignancy could not be excluded in preoperative assessment were enrolled in this study. Retrospective analysis of clinical data was conducted.

results297 cases were collected in this study. Prevalence of benign disease in patients underwent resection for focal pulmonary lesions is 9.8% in our institution. In 197 patients (66.3%), pulmonary lesions were detected by LDCT screening. A total of 323 assessable pulmonary lesions were detected by chest CT. The average diameter of pulmonary lesions was (17.9±12.1) mm, and 91.0% of which were greater than or equal to 8 mm. Solid nodules accounted for 65.6% of these lesions. Imaging characteristics suggesting malignancy were common, including spicule sign (71/323, 22.0%), lobulation (94/323, 29.1%), pleural indentation (81/323, 25.1%), vascular convergence sign (130/323, 40.2%) and vacuole sign (23/323, 7.1%). 292 patients (98.3%) underwent video-assisted thoracoscopic surgery (VATS). Pulmonary wedge resection was performed in 232 cases (78.1%), segmental resection in 13 cases (4.4%) and lobotomy in 51 cases (17.2%). Surgical complications occurred in 4 patients (1.3%). The most frequent findings on surgical pathology analysis were: infectious lesions in 98 cases (33.0%), inflammatory nodules in 96 cases (32.3%), and hamartoma in 64 cases (21.5%).

conclusionsSolid nodules accounted for most of these benign pulmonary lesions in which malignancy could not be excluded preoperatively, and imaging characteristics suggesting malignancy were common. VATS is an important biopsy method to identify etiology and pathology for lesions. The most frequent benign pulmonary diseases that are suspected to be malignant and underwent surgical resection are: infectious lesions, inflammatory nodules and hamartoma.

Indexed as

HospitalsPathology, SurgicalPreoperative PeriodTomography, X-Ray ComputedCohort StudiesFemaleHumansLung NeoplasmsMaleMiddle AgedRetrospective StudiesLung cancer screeningLung neoplasmsPulmonary benign lesionsPulmonary nodule

Identifiers

PMID32773007
PMCPMC7519955
OpenAlexW3049602442

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.