Trial reportComputational and mathematical methods in medicine2022
The Value of Gastric Cancer Staging by Endoscopic Ultrasonography Features in the Diagnosis of Gastroenterology.
Trial report in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 5 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Diagnostic value of conventional endoscopic ultrasound for lymph node metastasis in upper gastrointestinal neoplasia: A meta-analysis.World journal of gastroenterology · 2023Pooled it
- Research trends in endoscopic applications in early gastric cancer: A bibliometric analysis of studies published from 2012 to 2022.Frontiers in oncology · 2023Review
- Retracted: The Value of Gastric Cancer Staging by Endoscopic Ultrasonography Features in the Diagnosis of Gastroenterology.Computational and mathematical methods in medicine · 2023Article
- Clinical Study on the Evaluation of the Condition of Patients with Gastric Tumors and the Choice of Surgical Treatment by Gastric Ultrasonic Filling Method.Contrast media & molecular imaging · 2022Article
- Deep learning model for diagnosing early gastric cancer using preoperative computed tomography images.Frontiers in oncology · 2022Article
Corrections and comments
- Retraction · 2023-07-12Concerns/Issues about Data · Concerns/Issues about Results and/or Conclusions · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Peer Review · Informed/Patient Consent - None/Withdrawn · Investigation by Journal/Publisher · Investigation by Third Party · Lack of IRB/IACUC Approval and/or Compliance · Computer-Aided Content or Computer-Generated Content · Unreliable Results and/or Conclusions ·
- Retracted
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This research was aimed at exploring the application value of endoscopic ultrasonography (EUS) in the diagnosis of gastric cancer staging and the correlation between staging and clinical features of gastric cancer. A total of 72 patients with gastric cancer were selected and randomly divided into two groups. The patients in the pathological group underwent postoperative pathological examination, while those in the EUS group received preoperative EUS examination. The results showed that the staging accuracy of EUS was 73.33% for T1, 78.57% for T2, 27% for T3, and 100% for T4, compared with the pathological staging. The accuracy of N- and N+ was 42.5% and 82.3% in EUS, respectively, and the total accuracy was 55.7%. There was no considerable difference in the accuracy of T staging between early gastric cancer and advanced gastric cancer (
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.