Evidence map›Paper›PMID 36864945›Full record

ArticleAnnals of gastroenterology

Current role of narrow band imaging in diagnosing gastric intestinal metaplasia: a systematic review and meta-analysis of its diagnostic accuracy.

Theodore Rokkas, Konstantinos Ekmektzoglou

Open access · diamondAbstract read
In one paragraph

Article in Annals of gastroenterology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

9 citing papers in PubMed, 13 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

2 authors at 1 institution in 2 countries.

Theodore RokkasDepartment of Gastroenterology, Henry Dunant Hospital Center, Athens, Greece (Theodore Rokkas, Konstantinos Ekmektzoglou).
Konstantinos EkmektzoglouDepartment of Gastroenterology, Henry Dunant Hospital Center, Athens, Greece (Theodore Rokkas, Konstantinos Ekmektzoglou).
Henry Dunant Hospital · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gastric intestinal metaplasia (GIM) can be missed by random gastric biopsies taken during white light endoscopy. Narrow band imaging (NBI) may potentially improve the detection of GIM. However, pooled estimates from prospective studies are lacking and the diagnostic accuracy of NBI in detecting GIM needs to be more precisely defined. The aim of this systematic review and meta-analysis was to study the diagnostic performance of NBI in detecting GIM. Methods: PubMed/Medline and EMBASE were screened for studies examining GIM in relation to NBI. Data from each study were extracted and calculations of pooled sensitivity, specificity, likelihood ratios, diagnostic odds ratios (DORs), and areas under the curve (AUCs) were performed. Fixed or random effects models, were used as appropriate, depending on the presence of significant heterogeneity. Results: We included 11 eligible studies in the meta-analysis, comprising 1672 patients. NBI showed a pooled sensitivity of 80% (95% confidence interval [CI] 69-87), specificity of 93% (95%CI 85-97), DOR 48 (95%CI 20-121), and AUC of 0.93 (95%CI 0.91-0.95) in detecting GIM. Conclusions: This meta-analysis showed that NBI is a reliable endoscopic means of detecting GIM. NBI with magnification performed better than NBI without magnification. However, better designed prospective studies are needed to precisely determine the diagnostic role of NBI, especially in high-risk populations where early detection of GIM can impact gastric cancer prevention and survival.

Indexed as

diagnostic accuracygastric intestinal metaplasiameta-analysisNarrow band imaging

Identifiers

PMID36864945
PMCPMC9932864
OpenAlexW4320017795

What OpenQuestion holds

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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.