Evidence map›Paper›PMID 38738163›Full record

ReviewCureus2024

A Systematic Review and Meta-Analysis of Endoscopic Surveillance Studies for Detecting Dysplasia in Patients With Inflammatory Bowel Disease.

Ghazala S Virk, Essam Rashad, Raheel Chaudhry, Mustafa M Moazam, Mohamed Mahbub, Aarish F Hanif, Yonas Tamene, Lydia Tadesse

Abstract readReview
In one paragraph

Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ghazala S VirkInternal Medicine, Avalon University School of Medicine, Ohio, USA.
Essam RashadHospital Medicine, Parkview Regional Medical Center, Fort Wayne, USA.
Raheel ChaudhryMedicine, Baylor College of Medicine, Houston, USA.
Mustafa M MoazamPsychiatry, Texas Tech University Health Sciences Center El Paso, El Paso, USA.
Mohamed MahbubCardiovascular Medicine, Ain Shams University, Cairo, EGY.
Aarish F HanifOsteopathic Medicine, Arkansas College of Osteopathic Medicine, Fort Smith, USA.
Yonas TameneInternal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Lydia TadesseSchool of Medicine, Addis Ababa University, Addis Ababa, ETH.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammatory bowel disease (IBD)is an extremely common gastrointestinal disorder that can give rise to dysplasia and colorectal cancer (CRC). There are various diagnostic methods but endoscopy has proved to be the best in the diagnosis, monitoring, and treatment of IBD. The objective of this review is to evaluate the efficacy of endoscopy in detecting patients with IBD. A structured search strategy on PubMed, Science Direct, and Google Scholar was used, as well as formal inclusion or exclusion, data extraction, validity assessment, and meta-analysis. RevMan 5.4 (Review Manager (RevMan) (Computer program). Version 5.4. The Cochrane Collaboration, 2020) was used for the meta-analysis, and forest plots were generated for each outcome separately. All of these studies are prospective cohorts and 11 of these are randomized controlled trials (RCTs). In IBD, both chromoendoscopy and white light endoscopy are useful in detecting dysplasia and neoplastic lesions. Furthermore, narrow-band imaging is a less time-consuming option for endoscopic surveillance. The meta-analysis also showed that chromoendoscopy is superior to other methods.

Indexed as

colon cancer surveillancecrohn’s diseasedysplasiaendoscopyinflammatory bowel diseasesurveillanceulcerative colitis

Identifiers

PMID38738163
PMCPMC11087661

What OpenQuestion holds

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LicenceCC BY
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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.