Evidence map›Paper›PMID 29201873›Full record

ReviewAnnals of translational medicine2017

An innovative robotic platform for magnetically-driven painless colonoscopy.

Federico Bianchi, Gastone Ciuti, Anastasios Koulaouzidis, Alberto Arezzo, Danail Stoyanov, Sebastian Schostek, Calogero Maria Oddo, Arianna Menciassi, Paolo Dario

Open access · hybridAbstract readReview
In one paragraph

Review in Annals of translational medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 14% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 19 citations in OpenAlex.

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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

9 authors at 4 institutions in 2 countries.

Federico BianchiThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Gastone CiutiThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Anastasios KoulaouzidisEndoscopy Unit, The Royal Infirmary of Edinburgh, Edinburgh, Scotland, UK.
Alberto ArezzoDepartment of Surgical Sciences, University of Torino, Torino, Italy.
Danail StoyanovCentre for Medical Image Computing and the Department of Computer Science, University College London, London, UK.
Sebastian SchostekOvesco Endoscopy AG, Tübingen, Germany.
Calogero Maria OddoThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Arianna MenciassiThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Paolo DarioThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Scuola Superiore Sant'Anna · ITEdinburgh Royal Infirmary · GBUniversity College London · GBUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) represents a significant medical threat with a dramatic impact on the healthcare system with around 1.3 million patients worldwide, causing more than 700 thousand deaths annually. A key-aspect to successful and cost-effective disease management is represented by the early detection of CRC at asymptomatic stage. For this reason, population screening is highly recommended for patients older than 50 years or at high risk for familiarity. Currently, the standard endoscopic techniques do not meet this need. In recent years, innovative endoscopic robotic techniques and active locomotion devices have been developed as alternatives to conventional colonoscopy. The magnetically-driven robotic platform, presented by the authors, is conceived to perform less invasive and more comfortable colonoscopy with the aim to promote screening campaigns for detection of early colorectal neoplasm.

Indexed as

Gastrointestinal endoscopy (GI endoscopy)magnetically-driven robotic platformpainless endoscopyrobotic-aided colonoscopysoft-tether colonoscopic capsule

Identifiers

PMID29201873
PMCPMC5690967
OpenAlexW2767120573

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.