Evidence map›Paper›PMID 32206550›Full record

ArticleTranslational lung cancer research2020

Comparison of autofluorescence and white-light bronchoscopies performed with the Evis Lucera Spectrum for the detection of bronchial cancers: a meta-analysis.

Shuangshuang Sun, Yang Yang, Meizi Chen, Li Wang, Hangcheng Pan, Xiuwei Zhang, Georges Wagnieres, Yousser Mohammad, Esther Barreiro, Giovanni Pirozzolo and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Translational lung cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
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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

14 authors at 6 institutions in 6 countries.

Shuangshuang SunDepartment of Respiratory Medicine, The Affiliated Hospital of Jiangsu University, Zhenjiang 212001, China.
Yang YangDepartment of Respiratory and Critical Care Medicine, the Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing 210002, China.
Meizi ChenDepartment of Respiratory and Critical Care Medicine, Chenzhou No.1 People's Hospital, Chenzhou 423000, China.
Li WangDepartment of Respiratory and Critical Care Medicine, the Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing 210002, China.
Hangcheng PanDepartment of Respiratory and Critical Care Medicine, the Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing 210002, China.
Xiuwei ZhangDepartment of Respiratory and Critical Care Medicine, the Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing 210002, China.
Georges WagnieresLaboratory for Functional and Metabolic Imaging, Institute of Physics, Swiss Federal Institute of Technology in Lausanne (EPFL), Station 6, Bâtiment de Chimie, Lausanne, Switzerland.
Yousser MohammadNational Center for Research on Chronic Respiratory Diseases, Tishreen University, Tishreen Hospital, Latakia, Syria.
Esther BarreiroPulmonology Department-Muscle Wasting & Cachexia in Chronic Respiratory Diseases & Lung Cancer Research Group, IMIM-Hospital del Mar, Parc de Salut Mar, Barcelona, SpainCentro de Investigación en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII), Barcelona, Spain.
Giovanni PirozzoloGeneral Surgery Department, dell'Angelo Hospital, Venice, Italy.
P James VilleneuveCancer Therapeutics Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada.
Ping ZhanDepartment of Respiratory Medicine, Jinling Hospital, Nanjing University of Medicine, Nanjing 210002, China.
Bing WanDepartment of Respiratory and Critical Care Medicine, the Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing 210002, China.
written on behalf of the AME Lung Cancer Collaborative Group
Nanjing Jiangning Hospital · CNJiangsu University · CNChenzhou First People's Hospital · CNLatakia University · SYInstituto de Salud Carlos III · ESOttawa Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany recent studies have reported that autofluorescence bronchoscopy (AFB) has a superior sensitivity and decreased specificity in the diagnosis of bronchial cancers when compared with white-light bronchoscopy (WLB). We specifically analyzed the diagnostic performances of autofluorescence imaging video bronchoscopy (AFI) performed with the Evis Lucera Spectrum from Olympus, which is a relatively novel approach in detecting and delineating bronchial cancers, and compared it to the older WLB method.

methodsWe searched the PubMed, Embase, Web of Science, and CNKI databases from inception to July 12

resultsA total of 10 articles were eligible for the meta analysis, comprising 1,830 patients with complete data included in the analysis. AFI showed a superior sensitivity of 0.92 (95% CI, 0.88-0.95) over WLB's 0.70 (95% CI, 0.58-0.80) with P<0.01, and a comparable specificity of 0.67 (95% CI, 0.51-0.80) compared with WLB's 0.78 (95% CI, 0.68-0.86) with P=0.056. Egger's test P value (0.225) demonstrated that there was no publication bias.

conclusionsOur research showed that in the evaluation of bronchial cancers, AFI was superior to conventional WLB. With its higher sensitivity, AFI could be valuable for avoiding misdiagnosis.

Indexed as

Autofluorescence bronchoscopy (AFB)bronchial cancerEvis Lucera Spectrummeta-analysiswhite-light bronchoscopy (WLB)

Identifiers

PMID32206550
PMCPMC7082289
OpenAlexW3005804435

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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.