Trial reportInternational journal of colorectal disease2018
Differences with experienced nurse assistance during colonoscopy in detecting polyp and adenoma: a randomized clinical trial.
Trial report in International journal of colorectal disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02292563 (Can Experienced Endoscopy Nurse Participation During Screening Colonoscopy Increase Polyp and Adenoma Detection Rate?), which is not on this map. Cited by 8 papers, 2 of them syntheses that pooled it.
What it found
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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.
Can Experienced Endoscopy Nurse Participation During Screening Colonoscopy Increase Polyp and Adenoma Detection Rate?:A Prospective Randomized Trial
Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.
- The effect of nurse assisted colonoscopy on adenoma detection rates: A meta-analysis of randomized controlled trials.International journal of colorectal disease · 2024Pooled it
- Pooled it
- Association of active endoscopy nurse participation with adenoma detection during screening colonoscopy: a retrospective cohort study.BMC gastroenterology · 2026Article
- Mapping Competence in Gastrointestinal Endoscopy Nursing Practice: An Item Response Theory Analysis of Perceived Skill Acquisition and Maintenance in Italy.Healthcare (Basel, Switzerland) · 2026Article
- Single Versus Second Observer vs Artificial Intelligence to Increase the ADENOMA Detection Rate of Colonoscopy-A Network Analysis.Digestive diseases and sciences · 2024Article
- Artificial Intelligence in Endoscopy.Visceral medicine · 2021Review
- Is artificial intelligence the final answer to missed polyps in colonoscopy?World journal of gastroenterology · 2020Review
- Comparison of Outcomes of Colorectal Polypectomy Using Traditional Snare and Rotary Snare: A Prospective Randomized Controlled Trial.Gastroenterology research and practice · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
objectivesThis study aims to evaluate whether the participation of an experienced endoscopy nurse in colonoscopy increases the polyp detection rate (PDR) and adenoma detection rate (ADR) of experienced colonoscopists.
methodsThis study was a randomized controlled trial. Patients were randomly assigned to the experienced colonoscopist alone (single observer) group, or experienced nurse participation (dual observer) group. The primary outcome was the PDR and ADR. The advanced lesion detection rate was also recorded.
resultsA total of 587 patients were included in the analysis. Among these patients, 291 patients were assigned to the single observer group, while 296 patients were assigned to the dual observer group. The PDR was 33% in the single observer group and 41.9% in the dual observer group (P = 0.026), while the ADR was 23.0% in the single observer group and 30.4% in the dual observer group (P = 0.043). No significant difference was found for advanced lesions between groups.
conclusionsThe present data demonstrated that experienced nurse observation during colonoscopy can improve polyp and adenoma detection rates, even if the colonoscopist is experienced.
trial registrationClinicaltrials.gov No. NCT02292563. https://clinicaltrials.gov/ct2/results?cond=&term=NCT02292563&cntry=&state=&city=&dist=.
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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.