Evidence map›Paper›PMID 38416344›Full record

SynthesisIndian journal of gastroenterology : official journal of the Indian Society of Gastroenterology2024

Diagnostic performance of blue laser imaging for early detection of gastric cancer: A systematic review and meta-analysis.

Mohammed Rifat Shaik, Andrew Canakis, Nishat Anjum Shaik, Shivanand Bomman, Dushyant Singh Dahiya, Emily Gorman, Mohammad Bilal, Saurabh Chandan

Abstract readSystematic ReviewMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology, 2024. 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. Article
  2. Shedding a new light on gastric cancer screening.United European gastroenterology journal · 2024
    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

8 authors.

Mohammed Rifat ShaikDepartment of Medicine, University of Maryland Medical Center Midtown Campus, 827 Linden Ave, Baltimore, MD, 21201, USA. shaikrifat13@gmail.com.
Andrew CanakisDivision of Gastroenterology and Hepatology, University of Maryland School of Medicine, Baltimore, MD, USA.ORCID 0000-0002-6646-6693
Nishat Anjum ShaikDepartment of Medicine, University of Maryland Medical Center Midtown Campus, 827 Linden Ave, Baltimore, MD, 21201, USA.
Shivanand BommanDivision of Gastroenterology and Hepatology, University of Arizona School of Medicine, Tucson, AZ, USA.
Dushyant Singh DahiyaDivision of Gastroenterology and Hepatology, The University of Kansas School of Medicine, Kansas City, USA.
Emily GormanHealth Sciences and Human Services Library, University of Maryland, Baltimore, MD, USA.
Mohammad BilalDivision of Gastroenterology, University of Minnesota and Minneapolis VA Health Care System, Minneapolis, MN, USA.
Saurabh ChandanDivision of Gastroenterology, Creighton University School of Medicine, Omaha, NE, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastric cancer (GC) is associated with a significant global health burden and high mortality rates when diagnosed at later stages. The diagnosis often occurs at advanced stages when treatment options are limited and less effective. Early detection strategies are crucial to improving survival rates and outcomes for patients. Blue laser imaging (BLI) is an image-enhanced endoscopy technique that utilizes white light and narrow-band light to detect pathological changes in the mucosal architecture. This study aims at investigating the diagnostic performance of BLI for the detection of GC.

methodsA comprehensive search was conducted across multiple databases from inception until March 2023. Studies assessing the diagnostic efficacy of BLI for GC detection were included. The sensitivity, specificity and accuracy of BLI were calculated using pooled proportions and 95% confidence intervals (CI) with a random-effects model. Heterogeneity among the included studies was assessed using the I

resultsSix studies were included in the pooled analysis. There were 708 patients with 380 GC lesions. Most of the lesions involved the lower two-thirds of the stomach. The pooled performance metrics of BLI for GC detection were as follows: sensitivity of 91.9% (95% CI 83.3-96.3%; I

conclusionBLI demonstrates high diagnostic efficacy for the detection of GC. BLI can be a valuable tool in clinical practice. However, large-scale, randomized controlled studies are needed to further establish the role of BLI in routine clinical practice for GC detection.

Indexed as

Early Detection of CancerGastroscopySensitivity and SpecificityStomach NeoplasmsHumansLasersNarrow Band ImagingBlue laser imagingBoundary demarcationGastric cancerImage-enhanced endoscopyMicrosurface patternMicrovascular patternNarrow-band imagingOptical diagnosisScreeningSurveillanceSystematic review

Identifiers

PMID38416344

What OpenQuestion holds

Textmetadata
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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.