ArticleJournal of clinical medicine2026
Assessing the Accuracy and Readability of Generative Artificial Intelligence Responses for Esophageal and Gastric Cancer Patients.
Shanhu Ran, Wenlong Guan, Ran Wei, Yukun Chen, Bo Zhang, Yating Wang, Mingguang Zhang, Zixian Wang, Wei Liao, Fan Chen
Abstract read
In one paragraphArticle in Journal of clinical medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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0cells of the map it votes in
0citing papers in PubMed
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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 registryThe 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.
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3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
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4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
10 authors.
Shanhu RanDepartment of Intensive Care Unit, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Wenlong GuanState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou 510060, China.
Ran WeiState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou 510060, China.ORCID 0000-0002-5121-3650 Yukun ChenState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou 510060, China.
Bo ZhangDepartment of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.ORCID 0000-0002-6546-8443 Mingguang ZhangDepartment of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.ORCID 0000-0002-9033-1000 Zixian WangState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou 510060, China.
Wei LiaoDepartment of Intensive Care Unit, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.ORCID 0000-0002-7945-6726 Fan ChenState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou 510060, China.ORCID 0000-0002-1808-1668 Funding
CAMS Innovation Fund for Medical Sciences 2025-I2M-XHXX-059National Natural Science Foundation of China Young Scientist Fund 82203299
6 · The paper itselfAbstract
PubMed holds no abstract for this paper.
Indexed as
accuracyesophageal cancergastric cancergenerative artificial intelligencereadability
Identifiers
PMID42074760
PMCPMC13116805
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