Evidence map›Paper›PMID 37197258›Full record

ReviewTranslational gastroenterology and hepatology2023

History of colonoscopy and technological advances: a narrative review.

Manesh Kumar Gangwani, Abeer Aziz, Dushyant Singh Dahiya, Mohamad Nawras, Muhammad Aziz, Sumant Inamdar

Registry-linked trialOpen access · diamondAbstract readReview
In one paragraph

Review in Translational gastroenterology and hepatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06664762 (Left Lateral Position Versus Supine Position in Colonoscopy, a Multicenter Single-blind Randomized Clinical Trial Study), which is not on this map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
5.3field-weighted citation impact, top 4% of its field
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.

NCT06664762 nacompletednot on this mapstarted 2024, after this paper: background citation

Left Lateral Position Versus Supine Position in Colonoscopy, a Multicenter Single-blind Randomized Clinical Trial Study

TypeinterventionalSponsorHospital Civil de GuadalajaraRan2024 to 2025Enrolled144ConditionsColorectal Cancer ScreeningArmsLeft lateral position intervention, Supine position intervention
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Polyp Detection in Colonoscopy Training: A Qualitative Analysis of Resident Challenges and Expert Strategies.Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting · 2025
    Article
  10. Article
  11. Article
  12. Review
  13. Article
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

6 authors at 4 institutions in 1 country.

Manesh Kumar GangwaniDepartment of Medicine, University of Toledo Medical Center, Toledo, OH, USA.
Abeer AzizDepartment of Gastroenterology and Hepatology, Augusta University, Augusta, GA, USA.
Dushyant Singh DahiyaDepartment of Medicine, Central Michigan University College of Medicine, Saginaw, MI, USA.
Mohamad NawrasDepartment of Medicine, University of Toledo Medical Center, Toledo, OH, USA.
Muhammad AzizDepartment of Gastroenterology and Hepatology, University of Toledo Medical Center, Toledo, OH, USA.
Sumant InamdarDepartment of Gastroenterology and Hepatology, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
University of Toledo Medical Center · USAugusta University · USCentral Michigan University · USUniversity of Arkansas for Medical Sciences · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: Colonoscopy is an ever-growing procedure, being the primary diagnostic and therapeutic modality to manage lower gastrointestinal pathologies. It has a decades-old history with significant successive endoscopic innovations that eventually led to the development of the current colonoscope, as we know it today. Methods: We reviewed multiple databases in non-systemic fashion using PubMed, Embase and Cochrane library to shed light on historic timeline of advancements and groundbreaking landmark achievements currently underway. Key Content and Findings: Initially starting off as a rudimentary rigid, device that utilized candles as a light source, the primitive colonoscope was adapted to a semi-rigid framework to allow better maneuverability. Improved lenses allowed better viewing quality and the development of video capabilities with the capability of performing both diagnostic and therapeutic interventions transformed the colonoscope completely into a modern interventional device. Its utility started gaining attention in the late 90s when multiple guidelines were published, supporting its impact on survival for colorectal screening. Over the years, the therapeutic component of colonoscopy has evolved further allowing it to be used as a treatment modality for several lower gastrointestinal pathologies including control of lower gastrointestinal bleeds, management of large bowel perforation, foreign body removal and dilatation of colonic stenosis. With improving technological advances, success rates of colonoscopic interventions continue to rise and new therapeutic modalities underway further enhancing their role. Multiple developments are underway including use of artificial intelligence (AI) with as endocuff vision, amplify EYE and G-EYE among others that hold great promise for the future of colonoscopy. Conclusions: With our review, we hope to further the understanding clinicians about the colonoscope and help contribute towards its further developments.

Indexed as

advancesColonoscopyhistorytechnology

Identifiers

PMID37197258
PMCPMC10184027
OpenAlexW4366547486

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.