Evidence map›Paper›PMID 40693577›Full record

ArticleChinese medical journal2026

A deep learning model using endoscopic images for differential diagnosis of intestinal lymphoma.

Lingying Zhao, Zixuan He, Weifeng Huang, Shoubin Ning, Bairong Li, Wen Tang, Jing Hu, Pengpeng Xu, Hongmei Yi, Chunhua Zhou and 5 more

Abstract read
In one paragraph

Article in Chinese medical journal, 2026. 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

15 authors.

Lingying ZhaoDepartment of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Zixuan HeDepartment of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai 200043, China.
Weifeng HuangDepartment of Gastroenterology, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian 361003, China.
Shoubin NingDepartment of Gastroenterology, Air Force General Hospital of PLA, Beijing 100142, China.
Bairong LiDepartment of Gastroenterology, Air Force General Hospital of PLA, Beijing 100142, China.
Wen TangDepartment of Gastroenterology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215004, China.
Jing HuDepartment of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, China.
Pengpeng XuDepartment of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Hongmei YiDepartment of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Chunhua ZhouDepartment of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Chunhui OuyangDepartment of Gastroenterology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410008, China.
Yongjun WangDepartment of Gastroenterology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410008, China.
Taojing RanDepartment of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Duowu ZouDepartment of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Yubei GuDepartment of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID40693577
PMCPMC13593088

What OpenQuestion holds

Textmetadata
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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.