Evidence map›Paper›PMID 33791323›Full record

SynthesisFrontiers in medicine2021

Current Evidence and Future Perspective of Accuracy of Artificial Intelligence Application for Early Gastric Cancer Diagnosis With Endoscopy: A Systematic and Meta-Analysis.

Kailin Jiang, Xiaotao Jiang, Jinglin Pan, Yi Wen, Yuanchen Huang, Senhui Weng, Shaoyang Lan, Kechao Nie, Zhihua Zheng, Shuling Ji and 3 more

Erratum issuedAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 5 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

24 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Review
  7. Role of artificial intelligence in gastric diseases.World journal of gastroenterology · 2025
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Evaluation of deep learning methods for early gastric cancer detection using gastroscopic images.Technology and health care : official journal of the European Society for Engineering and Medicine · 2023
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Kailin JiangFirst College of Clinic Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China.
Xiaotao JiangFirst College of Clinic Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China.
Jinglin PanDepartment of Spleen-Stomach and Liver Diseases, Traditional Chinese Medicine Hospital of Hainan Province Affiliated to Guangzhou University of Chinese Medicine, Haikou, China.
Yi WenDepartment of Gastroenterology, First Affiliation Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.
Yuanchen HuangFirst College of Clinic Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China.
Senhui WengFirst College of Clinic Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China.
Shaoyang LanDepartment of Gastroenterology, First Affiliation Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.
Kechao NieFirst College of Clinic Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China.
Zhihua ZhengFirst College of Clinic Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China.
Shuling JiFirst College of Clinic Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China.
Peng LiuFirst College of Clinic Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China.
Peiwu LiDepartment of Gastroenterology, First Affiliation Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.
Fengbin LiuDepartment of Gastroenterology, First Affiliation Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencedeep learningearly gastric cancerendoscopymachine learning

Identifiers

PMID33791323
PMCPMC8005567

What OpenQuestion holds

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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.