Evidence map›Paper›PMID 35070370›Full record

ArticleJournal of thoracic disease2021

Comparison of National Comprehensive Cancer Network and European Position Statement protocols for nodule management in low-dose computed tomography lung cancer screening in a general Chinese population.

Yihui Du, Yanju Li, Monique D Dorrius, Grigory Sidorenkov, Marleen Vonder, Rozemarijn Vliegenthart, Marjolein A Heuvelmans, Xiaonan Cui, Zhaoxiang Ye, Geertruida H de Bock

Open access · diamondAbstract read
In one paragraph

Article in Journal of thoracic disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

10 authors at 3 institutions in 2 countries.

Yihui Du *Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Yanju Li *Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Centre for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
Monique D DorriusDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Grigory SidorenkovDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Marleen VonderDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Rozemarijn VliegenthartDepartment of Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Marjolein A HeuvelmansDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Xiaonan CuiDepartment of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Centre for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
Zhaoxiang YeDepartment of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Centre for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
Geertruida H de BockDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
University Medical Center Groningen · NLTianjin Medical University Cancer Institute and Hospital · CNUniversity of Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLow-dose computed tomography (LDCT) lung cancer screening often refers individuals to unnecessary examinations. This study aims to compare the European Position Statement (EUPS) and National Comprehensive Cancer Network (NCCN) protocols in management of participants at baseline screening round.

methodsLDCT lung cancer screening was prospectively performed in a Chinese asymptomatic population aged 40-74 years. A total of 1,000 consecutive baseline LDCT scans were read twice independently. All screen-detected lung nodules by the first reader were included. The first reader manually measured the diameter of lung nodules (NCCN protocol), and the second reader semi-automatically measured the volume and diameter (EUPS volume and diameter protocols). The protocols were used to classify the participants into three management groups: next screening round, short-term repeat LDCT scan and referral to a pulmonologist. Groups were compared using Wilcoxon test for paired samples. Number of lung cancers by protocols was provided.

resultsOf the 1,000 participants (61.4±6.7 years old), 168 lung nodules in 124 participants were visually detected and manually measured in the first reading, and re-measured semi-automatically. Applying the NCCN protocol, EUPS volume and diameter protocol, the proportion of referrals among all participants was 0.6%, 1.9%, and 1.4%, respectively. The proportion of short-term repeat scans was 4.5%, 9.7% and 4.5%, respectively. Among the 10 lung cancer patients, one would have been diagnosed earlier if the EUPS volume protocol would have been followed.

conclusionsIn a first round screening in a Chinese general population, the lower threshold for referral in the EUPS protocol as compared to the NCCN protocol, leads to more referrals to a pulmonologist, with the potential of earlier cancer diagnosis. The EUPS volume protocol recommends fewer participants to short-term repeat LDCT scan than the EUPS diameter protocol. Follow-up studies should show the impact of both protocols on (interval) cancer diagnosis.

Indexed as

diameterlow-dose computed tomography (LDCT)Lung nodulemass screeningvolume

Identifiers

PMID35070370
PMCPMC8743405
OpenAlexW4205979360

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.