Evidence map›Paper›PMID 30737899›Full record

ArticleThoracic cancer2019

Lung cancer imaging methods in China from 2005 to 2014: A national, multicenter study.

Dong-Hui Hou, Shi-Jun Zhao, Ju-Fang Shi, Le Wang, De-Bin Wang, Yun-Chao Huang, Xian-Zhen Liao, Xiao-Jing Xing, Ling-Bin Du, Li Yang and 12 more

Abstract readMulticenter Study
In one paragraph

Article in Thoracic cancer, 2019. 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
–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

2 citing papers in PubMed.

  1. Pan-Driver-Negatives versus Epidermal Growth Factor Receptor Mutants for C-Stage IA Lung Adenocarcinoma with Ground-Glass Opacity.Annals of thoracic and cardiovascular surgery : official journal of the Association of Thoracic and Cardiovascular Surgeons of Asia · 2022
    Article
  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

22 authors.

Dong-Hui HouDepartment of Diagnostic Radiology, National Cancer Center/ National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID 0000-0001-8749-4741
Shi-Jun ZhaoDepartment of Diagnostic Radiology, National Cancer Center/ National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ju-Fang ShiOffice of Cancer Screening, National Cancer Center/ National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Le WangOffice of Cancer Screening, National Cancer Center/ National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
De-Bin WangSchool of Health Services Management, Anhui Medical University, Hefei, China.
Yun-Chao HuangDepartment of Thoracic Surgery, Yunnan Cancer Hospital, Kunming, China.
Xian-Zhen LiaoHunan Office for Cancer Control and Research, Hunan Cancer Hospital, Changsha, China.
Xiao-Jing XingLiaoning Office for Cancer Control and Research, Liaoning Cancer Hospital & Institute, Shenyang, China.
Ling-Bin DuZhejiang Office for Cancer Control and Research, Zhejiang Cancer Hospital, Hangzhou, China.
Li YangSchool of Public Health, Guangxi Medical University, Nanning, China.
Yu-Qin LiuCancer Epidemiology Research Center, Gansu Provincial Cancer Hospital, Lanzhou, China.
Yong-Zhen ZhangDepartment of Epidemiology, Shanxi Provincial Cancer Hospital, Taiyuan, China.
Dong-Hua WeiMedical Department, Anhui Provincial Cancer Hospital, Hefei, China.
Yun-Yong LiuLiaoning Office for Cancer Control and Research, Liaoning Cancer Hospital & Institute, Shenyang, China.
Kai ZhangDepartment of Cancer Prevention, National Cancer Center/ National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ni LiOffice of Cancer Screening, National Cancer Center/ National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Wan-Qing ChenOffice of Cancer Screening, National Cancer Center/ National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
You-Lin QiaoDepartment of Cancer Epidemiology, National Cancer Center/ National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jie HeDepartment of Thoracic Surgery, National Cancer Center/ National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Min DaiOffice of Cancer Screening, National Cancer Center/ National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ning WuDepartment of Diagnostic Radiology, National Cancer Center/ National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
LuCCRES Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe study was conducted to examine changes in diagnostic and staging imaging methods for lung cancer in China over a 10-year period and to determine the relationships between such changes and socioeconomic development.

methodsThis was a hospital-based, nationwide, multicenter retrospective study of primary lung cancer cases. The data were extracted from the 10-year primary lung cancer databases at eight tertiary hospitals from various geographic areas in China. The chi-squared test was used to assess the differences and the Cochran-Armitage trend test was used to estimate the trends of changes.

resultsA total of 7184 lung cancer cases were analyzed. Over the 10-year period, the utilization ratio of diagnostic imaging methods, such as chest computed tomography (CT) and chest magnetic resonance imaging (MRI), increased from 65.79% to 81.42% and from 0.73% to 1.96%, respectively, while the utilization ratio of chest X-ray declined from 50.15% to 30.93%. Staging imaging methods, such as positron emission tomography-CT, neck ultrasound, brain MRI, bone scintigraphy, and bone MRI increased from 0.73% to 9.29%, 22.95% to 47.92%, 8.77% to 40.71%, 42.40% to 62.22%, and 0.88% to 4.65%, respectively; abdominal ultrasound declined from 83.33% to 59.9%. These trends were more notable in less developed areas than in areas with substantial economic development.

conclusionOverall, chest CT was the most common radiological diagnostic method for lung cancer in China. Imaging methods for lung cancer tend to be used in a diverse, rational, and regionally balanced manner.

Indexed as

Bone and BonesBrainChinaDiagnostic ImagingFemaleHumansLung NeoplasmsMagnetic Resonance ImagingMaleNeoplasm StagingPositron Emission Tomography Computed TomographyRetrospective StudiesTertiary Care CentersTomography, X-Ray ComputedChinaimaging methodlung cancertrend

Identifiers

PMID30737899
PMCPMC6449240

What OpenQuestion holds

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LicenceCC BY-NC
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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.