Evidence map›Paper›PMID 31119059›Full record

ArticleCancer biology & medicine2019

Methods of computed tomography screening and management of lung cancer in Tianjin: design of a population-based cohort study.

Yihui Du, Yingru Zhao, Grigory Sidorenkov, Geertruida H de Bock, Xiaonan Cui, Yubei Huang, Monique D Dorrius, Mieneke Rook, Harry J M Groen, Marjolein A Heuvelmans and 6 more

Open access · goldAbstract read
In one paragraph

Article in Cancer biology & medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 24 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 4 institutions in 2 countries.

Yihui DuDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, The Netherlands.
Yingru ZhaoDepartment of Radiology,Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China.
Grigory SidorenkovDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, The Netherlands.
Geertruida H de BockDepartment of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, The Netherlands.
Xiaonan CuiCenter for Medical Imaging-North East Netherlands, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, The Netherlands.
Yubei HuangDepartment of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China.
Monique D DorriusCenter for Medical Imaging-North East Netherlands, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, The Netherlands.
Mieneke RookCenter for Medical Imaging-North East Netherlands, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, The Netherlands.
Harry J M GroenDepartment of Pulmonary Diseases, University of Groningen, University Medical Centre Groningen, Groningen 9713 GZ, The Netherlands.
Marjolein A HeuvelmansCenter for Medical Imaging-North East Netherlands, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, The Netherlands.
Rozemarijn VliegenthartCenter for Medical Imaging-North East Netherlands, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, The Netherlands.
Kexin ChenDepartment of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China.
Xueqian XieDepartment of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China.
Shiyuan LiuDepartment of Radiology, Shanghai Changzheng Hospital, The Second Military Medical University Shanghai, Shanghai 200003, China.
Matthijs OudkerkCenter for Medical Imaging-North East Netherlands, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, The Netherlands.
Zhaoxiang YeDepartment of Radiology,Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China.
University Medical Center Groningen · NLTianjin Medical University Cancer Institute and Hospital · CNSecond Military Medical University · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveEuropean lung cancer screening studies using computed tomography (CT) have shown that a management protocol based on measuring lung nodule volume and volume doubling time (VDT) is more specific for early lung cancer detection than a diameter-based protocol. However, whether this also applies to a Chinese population is unclear. The aim of this study is to compare the diagnostic performance of a volume-based protocol with a diameter-based protocol for lung cancer detection and optimize the nodule management criteria for a Chinese population.

methodsThis study has a population-based, prospective cohort design and includes 4000 participants from the Hexi district of Tianjin, China. Participants will undergo low-dose chest CT at baseline and after 1 year. Initially, detected lung nodules will be evaluated for diameter and managed according to a routine diameter-based protocol (Clinical Practice Guideline in Oncology for Lung Cancer Screening, Version 2.2018). Subsequently, lung nodules will be evaluated for volume and management will be simulated according to a volume-based protocol and VDT (a European lung nodule management protocol). Participants will be followed up for 4 years to evaluate lung cancer incidence and mortality. The primary outcome is the diagnostic performance of the European volume-based protocol compared to diameter-based management regarding lung nodules detected using low-dose CT.

resultsThe diagnostic performance of volume- and diameter-based management for lung nodules in a Chinese population will be estimated and compared.

conclusionsThrough the study, we expect to improve the management of lung nodules and early detection of lung cancer in Chinese populations.

Indexed as

Chinacomputed tomographyLung cancerlung nodulesscreening

Identifiers

PMID31119059
PMCPMC6528449
OpenAlexW2928590943

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.