Evidence map›Paper›PMID 38229441›Full record

ArticleClinical endoscopy2024

Novel upper gastrointestinal bleeding sensor capsule: a first human feasibility and safety trial.

Lukas Bajer, Marvin Ryou, Christopher C Thompson, Pavel Drastich

Open access · goldAbstract read
In one paragraph

Article in Clinical endoscopy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Lukas BajerDepartment of Gastroenterology and Hepatology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
Marvin RyouEnteraSense Limited, Galway, Ireland.
Christopher C ThompsonEnteraSense Limited, Galway, Ireland.
Pavel DrastichDepartment of Gastroenterology and Hepatology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
Institute of Clinical and Experimental Medicine · CZ

Funding

European Union's Horizon 2020 research and innovation programme 831055
6 · The paper itself

Abstract

BACKGROUND/

aimsUpper gastrointestinal bleeding (UGIB) is the most common GI condition requiring hospitalization, and can be diagnosed by direct visualization. The present study aimed to evaluate the safety and feasibility of using the PillSense system (EnteraSense Ltd.), a novel diagnostic tool designed for the rapid in vivo detection of UGIB, in human volunteers.

methodsIn the present study, 10 volunteers swallowed a PillSense capsule, followed by 2 servings of an autologous blood preparation. Participants were monitored for capsule passage, overall tolerability of the procedure, and adverse events.

resultsThe procedure was completed per the protocol established in the present study in 9/10 cases. In 9 of the subjects, after capsule ingestion, the device indicated the absence of blood with sensor output values of 1. After the ingestion of the first blood mixture, the sensor outputs of all devices increased from 2.8 to 4, indicating that each camera detected blood. The sensor output remained within that range after the ingestion of the second mixture; however, in one case, the baseline capsule signal was positive, because of a preexisting condition. The passage of the capsule was verified in all patients, and no adverse events were reported.

conclusionThe first trial of the PillSense system in human subjects demonstrated the feasibility, safety, and tolerability of utilizing this product as a novel, noninvasive, and easy-to-use triage tool for the diagnosis of patients suspected of having UGIB.

Indexed as

CapsulesGastrointestinal hemorrhageTriage

Identifiers

PMID38229441
PMCPMC10984735
OpenAlexW4390951572

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.