Evidence map›Paper›PMID 40083189›Full record

SynthesisJournal of gastroenterology and hepatology2025

Artificial Intelligence-Assisted Capsule Endoscopy Versus Conventional Capsule Endoscopy for Detection of Small Bowel Lesions: A Systematic Review and Meta-Analysis.

Arkadeep Dhali, Vincent Kipkorir, Rick Maity, Bahadar S Srichawla, Jyotirmoy Biswas, Roger B Rathna, Hareesha Rishab Bharadwaj, Ibsen Ongidi, Talha Chaudhry, Gisore Morara and 7 more

Abstract readSystematic ReviewMeta-AnalysisComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of gastroenterology and hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. 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

17 authors.

Arkadeep DhaliAcademic Unit of Gastroenterology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.ORCID https://orcid.org/0000-0002-1794-2569
Vincent KipkorirFaculty of Health Sciences, University of Nairobi, Nairobi, Kenya.
Rick MaityInstitute of Post Graduate Medical Education and Research, Kolkata, India.ORCID https://orcid.org/0009-0003-5316-2329
Bahadar S SrichawlaUniversity of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Jyotirmoy BiswasCollege of Medicine and Sagore Dutta Hospital, Kolkata, India.
Roger B RathnaUniversity Hospitals of Leicester NHS Trust, Leicester, UK.
Hareesha Rishab BharadwajFaculty of Biology Medicine and Health, The University of Manchester, Manchester, UK.ORCID https://orcid.org/0000-0002-7979-2834
Ibsen OngidiFaculty of Health Sciences, University of Nairobi, Nairobi, Kenya.
Talha ChaudhryFaculty of Health Sciences, University of Nairobi, Nairobi, Kenya.
Gisore MoraraFaculty of Health Sciences, University of Nairobi, Nairobi, Kenya.
Maryann WaithakaFaculty of Health Sciences, University of Nairobi, Nairobi, Kenya.
Clinton RugutFaculty of Health Sciences, University of Nairobi, Nairobi, Kenya.
Miheso LemashonFaculty of Health Sciences, University of Nairobi, Nairobi, Kenya.
Isaac CheruiyotFaculty of Health Sciences, University of Nairobi, Nairobi, Kenya.
Daniel OjukaFaculty of Health Sciences, University of Nairobi, Nairobi, Kenya.
Sukanta RayInstitute of Post Graduate Medical Education and Research, Kolkata, India.
Gopal Krishna DhaliInstitute of Post Graduate Medical Education and Research, Kolkata, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCapsule endoscopy (CE) is a valuable tool used in the diagnosis of small intestinal lesions. The study aims to systematically review the literature and provide a meta-analysis of the diagnostic accuracy, specificity, sensitivity, and negative and positive predictive values of AI-assisted CE in the diagnosis of small bowel lesions in comparison to CE.

methodsLiterature searches were performed through PubMed, SCOPUS, and EMBASE to identify studies eligible for inclusion. All publications up to 24 November 2024 were included. Original articles (including observational studies and randomized control trials), systematic reviews, meta-analyses, and case series reporting outcomes on AI-assisted CE in the diagnosis of small bowel lesions were included. The extracted data were pooled, and a meta-analysis was performed for the appropriate variables, considering the clinical and methodological heterogeneity among the included studies. Comprehensive Meta-Analysis v4.0 (Biostat Inc.) was used for the analysis of the data.

resultsA total of 14 studies were included in the present study. The mean age of participants across the studies was 54.3 years (SD 17.7), with 55.4% men and 44.6% women. The pooled accuracy for conventional CE was 0.966 (95% CI: 0.925-0.988), whereas for AI-assisted CE, it was 0.9185 (95% CI: 0.9138-0.9233). Conventional CE exhibited a pooled sensitivity of 0.860 (95% CI: 0.786-0.934) compared with AI-assisted CE at 0.9239 (95% CI: 0.8648-0.9870). The positive predictive value for conventional CE was 0.982 (95% CI: 0.976-0.987), whereas AI-assisted CE had a PPV of 0.8928 (95% CI: 0.7554-0.999). The pooled specificity for conventional CE was 0.998 (95% CI: 0.996-0.999) compared with 0.5367 (95% CI: 0.5244-0.5492) for AI-assisted CE. Negative predictive values were higher in AI-assisted CE at 0.9425 (95% CI: 0.9389-0.9462) versus 0.760 (95% CI: 0.577-0.943) for conventional CE.

conclusionAI-assisted CE displays superior diagnostic accuracy, sensitivity, and positive predictive values albeit the lower pooled specificity in comparison with conventional CE. Its use would ensure accurate detection of small bowel lesions and further enhance their management.

Indexed as

Artificial IntelligenceCapsule EndoscopyIntestinal DiseasesIntestine, SmallFemaleHumansMaleMiddle AgedPredictive Value of TestsSensitivity and Specificityartificial intelligencebowelcapsule endoscopydiagnosissmall intestine

Identifiers

PMID40083189
PMCPMC12062924

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.