Evidence map›Paper›PMID 37900007›Full record

ReviewTherapeutic advances in gastroenterology2023

A systematic review on diagnosis and treatment of gastrointestinal diseases by magnetically controlled capsule endoscopy and artificial intelligence.

Xiaotong Wang, Xiaoming Hu, Yongxue Xu, Jiahao Yong, Xiang Li, Kaixuan Zhang, Tao Gan, Jinlin Yang, Nini Rao

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Therapeutic advances in gastroenterology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
6.9field-weighted citation impact, top 2% 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

13 citing papers in PubMed, 25 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
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

9 authors at 2 institutions in 1 country.

Xiaotong WangSchool of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Xiaoming HuSchool of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Yongxue XuSchool of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Jiahao YongSchool of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Xiang LiSchool of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Kaixuan ZhangSchool of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
Tao GanDigestive Endoscopic Center of West China Hospital, Sichuan University, Chengdu, China.
Jinlin YangDigestive Endoscopic Center of West China Hospital, Sichuan University, No.37 Guoxue Alley, Wuhou District, Chengdu City, Chengdu, Sichuan Province 610017, China.ORCID https://orcid.org/0000-0001-8726-7258
Nini RaoSchool of Life Science and Technology, University of Electronic Science and Technology of China, No. 4, Section Two, Jianshe North Road, Chengdu 610054, China.ORCID https://orcid.org/0000-0001-7979-2917
University of Electronic Science and Technology of China · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Magnetically controlled capsule endoscopy (MCCE) is a non-invasive, painless, comfortable, and safe equipment to diagnose gastrointestinal diseases (GID), partially overcoming the shortcomings of conventional endoscopy and wireless capsule endoscopy (WCE). With advancements in technology, the main technical parameters of MCCE have continuously been improved, and MCCE has become more intelligent. Objectives: The aim of this systematic review was to summarize the research progress of MCCE and artificial intelligence (AI) in the diagnosis and treatment of GID. Data Sources and Methods: We conducted a systematic search of PubMed and EMBASE for published studies on GID detection of MCCE, physical factors related to MCCE imaging quality, the application of AI in aiding MCCE, and its additional functions. We synergistically reviewed the included studies, extracted relevant data, and made comparisons. Results: MCCE was confirmed to have the same performance as conventional gastroscopy and WCE in detecting common GID, while it lacks research in detecting early gastric cancer (EGC). The body position and cleanliness of the gastrointestinal tract are the main factors affecting imaging quality. The applications of AI in screening intestinal diseases have been comprehensive, while in the detection of common gastric diseases such as ulcers, it has been developed. MCCE can perform some additional functions, such as observations of drug behavior in the stomach and drug damage to the gastric mucosa. Furthermore, it can be improved to perform a biopsy. Conclusion: This comprehensive review showed that the MCCE technology has made great progress, but studies on GID detection and treatment by MCCE are in the primary stage. Further studies are required to confirm the performance of MCCE.

Indexed as

detectionearly gastric cancergastrointestinal diseasesmagnetically controlled capsule endoscopy

Identifiers

PMID37900007
PMCPMC10612444
OpenAlexW4387984853

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.