Evidence map›Paper›PMID 35760855›Full record

ArticleScientific reports2022

A hands-free stool sampling system for monitoring intestinal health and disease.

Sonia Grego, Claire M Welling, Graham H Miller, Peter F Coggan, Katelyn L Sellgren, Brian T Hawkins, Geoffrey S Ginsburg, Jose R Ruiz, Deborah A Fisher, Brian R Stoner

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
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  8. Passive monitoring by smart toilets for precision health.Science translational medicine · 2023
    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 1 institution in 1 country.

Sonia GregoElectrical and Computer Engineering, Center for Water, Sanitation, Hygiene and Infectious Disease (WaSH-AID), Duke University, Durham, NC, USA. sonia.grego@duke.edu.
Claire M WellingElectrical and Computer Engineering, Center for Water, Sanitation, Hygiene and Infectious Disease (WaSH-AID), Duke University, Durham, NC, USA.
Graham H MillerElectrical and Computer Engineering, Center for Water, Sanitation, Hygiene and Infectious Disease (WaSH-AID), Duke University, Durham, NC, USA.
Peter F CogganElectrical and Computer Engineering, Center for Water, Sanitation, Hygiene and Infectious Disease (WaSH-AID), Duke University, Durham, NC, USA.
Katelyn L SellgrenElectrical and Computer Engineering, Center for Water, Sanitation, Hygiene and Infectious Disease (WaSH-AID), Duke University, Durham, NC, USA.
Brian T HawkinsElectrical and Computer Engineering, Center for Water, Sanitation, Hygiene and Infectious Disease (WaSH-AID), Duke University, Durham, NC, USA.
Geoffrey S GinsburgDuke Center for Applied Genomics and Precision Medicine, School of Medicine, Duke University, Durham, NC, USA.
Jose R RuizDivision of Gastroenterology, School of Medicine, Duke University, Durham, NC, USA.
Deborah A FisherDivision of Gastroenterology, School of Medicine, Duke University, Durham, NC, USA.
Brian R StonerElectrical and Computer Engineering, Center for Water, Sanitation, Hygiene and Infectious Disease (WaSH-AID), Duke University, Durham, NC, USA.
Duke University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analysis of stool offers simple, non-invasive monitoring for many gastrointestinal (GI) diseases and access to the gut microbiome, however adherence to stool sampling protocols remains a major challenge because of the prevalent dislike of handling one's feces. We present a technology that enables individual stool specimen collection from toilet wastewater for fecal protein and molecular assay. Human stool specimens and a benchtop test platform integrated with a commercial toilet were used to demonstrate reliable specimen collection over a wide range of stool consistencies by solid/liquid separation followed by spray-erosion. The obtained fecal suspensions were used to perform occult blood tests for GI cancer screening and for microbiome 16S rRNA analysis. Using occult blood home test kits, we found overall 90% agreement with standard sampling, 96% sensitivity and 86% specificity. Microbiome analysis revealed no significant difference in within-sample species diversity compared to standard sampling and specimen cross-contamination was below the detection limit of the assay. Furthermore, we report on the use of an analogue turbidity sensor to assess in real time loose stools for tracking of diarrhea. Implementation of this technology in residential settings will improve the quality of GI healthcare by facilitating increased adherence to routine stool monitoring.

Indexed as

Gastrointestinal MicrobiomeOccult BloodFecesHumansRNA, Ribosomal, 16SSpecimen HandlingRNA, Ribosomal, 16S

Identifiers

PMID35760855
PMCPMC9237014
OpenAlexW4283585675

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.