ArticleJournal of gastroenterology2022
Effects of a novel endoscopic reporting system with voice recognition on the endoscopic procedure time and report preparation time: propensity score matching analysis.
Article in Journal of gastroenterology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed, 6 citations in OpenAlex.
- Bootstrapping multimodal large language model with medical knowledge for automatic esophagogastroduodenoscopy diagnosis and reporting.Nature communications · 2026Article
- Colonoscopy report generation using voice recognition system.Endoscopy · 2026Article
- Domain specific multimodal large language model for automated endoscopy reporting with multicenter prospective validation.NPJ digital medicine · 2026Article
- Speech Recognition System Generates Highly Accurate Endoscopic Reports in Clinical Practice.Internal medicine (Tokyo, Japan) · 2023Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWith the increase in endoscopic procedures, endoscopists are spending more time creating reports. Although medical reports have largely become electronic, most of the current reporting systems require manual operation. This study aimed to evaluate the efficacy of a novel endoscopic reporting system that uses voice recognition (VR) technology.
methodsWe retrospectively reviewed consecutive patients who underwent esophagogastroduodenoscopy between September 2019 and March 2020 at a general hospital in Japan. The novel reporting system, used during endoscopic procedures, is equipped with VR and provides automatic responses by playing back recognized words. Differences in total time spent on the endoscopic procedure and report preparation between the manual entry (ME) and VR groups were evaluated using a propensity score matching method.
resultsWe enrolled 356 patients: 226 and 130 patients in the ME and VR groups, respectively. Propensity score matching created 101 matched pairs. After matching, the median report preparation time (311 vs. 383 s, P = 0.009) and median total time (765 vs. 842 s, P = 0.053) in the VR group were shorter than those in the ME group. The VR system independently shortened the total and report preparation times by 156 s (95% confidence interval, - 274 to - 37 s; P = 0.009) and 118 s (95% confidence interval, - 220 to - 15 s; P = 0.023), respectively, on multiple linear regression analysis.
conclusionsThe VR system could save the report preparation time and the total time. This novel system may improve the efficiency of endoscopy-related tasks.
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.