Evidence map›Paper›PMID 37646809›Full record

SynthesisEuropean radiology2024

Performance of Lung-RADS in different target populations: a systematic review and meta-analysis.

Yifei Mao, Jiali Cai, Marjolein A Heuvelmans, Rozemarijn Vliegenthart, Harry J M Groen, Matthijs Oudkerk, Marleen Vonder, Monique D Dorrius, Geertruida H de Bock

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in European radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. A Real-World Assessment of Stage I Lung Cancer Through Electronic Nose Technology.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Yifei MaoDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, 9700 RB, Groningen, the Netherlands.
Jiali CaiDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, 9700 RB, Groningen, the Netherlands.
Marjolein A HeuvelmansDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, 9700 RB, Groningen, the Netherlands.
Rozemarijn VliegenthartDepartment of Radiology, University Medical Center Groningen, University of Groningen, 9700 RB, Groningen, the Netherlands.
Harry J M GroenDepartment of Pulmonary Diseases, University Medical Center Groningen, University of Groningen, 9700 RB, Groningen, the Netherlands.
Matthijs OudkerkInstitute for Diagnostic Accuracy, Prof. Wiersmastraat 5, 9713 GH, Groningen, the Netherlands.
Marleen VonderDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, 9700 RB, Groningen, the Netherlands.
Monique D DorriusDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, 9700 RB, Groningen, the Netherlands.
Geertruida H de BockDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, 9700 RB, Groningen, the Netherlands. g.h.de.bock@umcg.nl.ORCID http://orcid.org/0000-0003-3104-4471
University Medical Center Groningen · NL

Funding

Chinse Scholarship Council 202008440409Royal Netherlands Academy of Arts and Sciences PSA_SA_BD_01
6 · The paper itself

Abstract

objectivesMultiple lung cancer screening studies reported the performance of Lung CT Screening Reporting and Data System (Lung-RADS), but none systematically evaluated its performance across different populations. This systematic review and meta-analysis aimed to evaluate the performance of Lung-RADS (versions 1.0 and 1.1) for detecting lung cancer in different populations.

methodsWe performed literature searches in PubMed, Web of Science, Cochrane Library, and Embase databases on October 21, 2022, for studies that evaluated the accuracy of Lung-RADS in lung cancer screening. A bivariate random-effects model was used to estimate pooled sensitivity and specificity, and heterogeneity was explored in stratified and meta-regression analyses.

resultsA total of 31 studies with 104,224 participants were included. For version 1.0 (27 studies, 95,413 individuals), pooled sensitivity was 0.96 (95% confidence interval [CI]: 0.90-0.99) and pooled specificity was 0.90 (95% CI: 0.87-0.92). Studies in high-risk populations showed higher sensitivity (0.98 [95% CI: 0.92-0.99] vs. 0.84 [95% CI: 0.50-0.96]) and lower specificity (0.87 [95% CI: 0.85-0.88] vs. 0.95 (95% CI: 0.92-0.97]) than studies in general populations. Non-Asian studies tended toward higher sensitivity (0.97 [95% CI: 0.91-0.99] vs. 0.91 [95% CI: 0.67-0.98]) and lower specificity (0.88 [95% CI: 0.85-0.90] vs. 0.93 [95% CI: 0.88-0.96]) than Asian studies. For version 1.1 (4 studies, 8811 individuals), pooled sensitivity was 0.91 (95% CI: 0.83-0.96) and specificity was 0.81 (95% CI: 0.67-0.90).

conclusionAmong studies using Lung-RADS version 1.0, considerable heterogeneity in sensitivity and specificity was noted, explained by population type (high risk vs. general), population area (Asia vs. non-Asia), and cancer prevalence. CLINICAL RELEVANCE STATEMENT: Meta-regression of lung cancer screening studies using Lung-RADS version 1.0 showed considerable heterogeneity in sensitivity and specificity, explained by the different target populations, including high-risk versus general populations, Asian versus non-Asian populations, and populations with different lung cancer prevalence. KEY POINTS: • High-risk population studies showed higher sensitivity and lower specificity compared with studies performed in general populations by using Lung-RADS version 1.0. • In non-Asian studies, the diagnostic performance of Lung-RADS version 1.0 tended to be better than in Asian studies. • There are limited studies on the performance of Lung-RADS version 1.1, and evidence is lacking for Asian populations.

Indexed as

Lung NeoplasmsSensitivity and SpecificityTomography, X-Ray ComputedEarly Detection of CancerHumansLungCancer screeningLung neoplasmsSolitary pulmonary noduleX-ray computed tomography

Identifiers

PMID37646809
PMCPMC10873443
OpenAlexW4386272072

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.