Evidence map›Paper›PMID 38096093›Full record

ArticleIEEE transactions on bio-medical engineering2024

Smart Capsule for Targeted Detection of Inflammation Levels Inside the GI Tract.

Sachin Kadian, Sarath Gopalakrishnan, Vidhya Selvamani, Sadid Khan, Trevor Meyer, Rithu Thomas, Muhammad Masud Rana, Pedro P Irazoqui, Mohit S Verma, Rahim Rahimi

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 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
4.4field-weighted citation impact, top 5% 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, 16 citations in OpenAlex.

  1. An Edible HAdvanced healthcare materials · 2026
    Article
  2. Article
  3. Review
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

10 authors at 2 institutions in 1 country.

Sachin Kadian
Sarath Gopalakrishnan
Vidhya Selvamani
Sadid Khan
Trevor Meyer
Rithu Thomas
Muhammad Masud Rana
Pedro P Irazoqui
Mohit S Verma
Rahim Rahimi
Purdue University West Lafayette · USJohns Hopkins University · US

Funding

Swallowable smart capsule for targeted gastrointestinal microbiome samplingR21DK128715 · NIDDK · PURDUE UNIVERSITY · PI CAMPBELL, WAYNE W, CROSS, TZU-WEN LIU · 2022 to 2023
$407k
NIDDK NIH HHS R21 DK128715
6 · The paper itself

Abstract

Effective management of Inflammatory Bowel Disease (IBD) is contingent upon frequent monitoring of inflammation levels at targeted locations within the gastrointestinal (GI) tract. This is crucial for assessing disease progression and detecting potential relapses. To address this need, a novel single-use capsule technology has been devised that enables region-specific inflammation measurement, thereby facilitating repeatable monitoring within the GI tract. The capsule integrates a pH-responsive coating for location-specific activation, a chemiluminescent paper-based myeloperoxidase (MPO) sensor for inflammation detection, and a miniaturized photodetector, complemented by embedded electronics for real-time wireless data transmission. Demonstrating linear sensitivity within the physiological MPO concentration range, the sensor is capable of effectively identifying inflammation risk in the GI fluid. Luminescence emitted by the sensor, proportional to MPO concentration, is converted into an electrical signal by the photodetector, generating a quantifiable energy output with a sensitivity of 6.14 µJ/U.ml

Indexed as

PeroxidaseAnimalsEquipment DesignGastrointestinal TractInflammationInflammatory Bowel DiseasesLuminescent MeasurementsSignal Processing, Computer-AssistedSwinePeroxidase

Identifiers

PMID38096093
PMCPMC11187759
OpenAlexW4389747814

What OpenQuestion holds

Textmetadata
LicenceTDM
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.