Evidence map›Paper›PMID 39950674›Full record

ReviewThe American journal of gastroenterology2025

Contemporary Landscape of Medical Technology in Gastroenterology Between 2013 and 2023.

Megan M Hennessey, Shan Xue, Rebecca Z Strigenz, Pamela Bagley, Eric D Shah

Abstract readReview
In one paragraph

Review in The American journal of gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Megan M HennesseyDartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA.
Shan XueDartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA.
Rebecca Z StrigenzDartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA.
Pamela BagleyDartmouth College, Hanover, New Hampshire, USA.
Eric D ShahUniversity of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0003-3611-8628

Funding

Guideline to Implementation: A Rapid Clinical Care Pathway to Care for Patients Affected by Chronic ConstipationK23DK134752 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Eric Dinesh Shah · 2023 to 2026
$776k
NIDDK NIH HHS DK134752NIDDK NIH HHS K23 DK134752
6 · The paper itself

Abstract

Medical technology in gastroenterology spans devices, point-of-care diagnostics, digital health, and artificial intelligence. We conducted a narrative review of US Food and Drug Administration (FDA)-reviewed medical technology on the available evidence base to support uptake in clinical practice. Seven hundred thirteen new gastrointestinal devices were FDA approved or cleared between 2013 and 2023. The most frequent technologies had indications for use in general endoscopy (442 or 62.0% of all new technologies) with advanced endoscopy technologies being the second most common (172 or 24.1%). Ninety-nine new technologies had indications for use outside of the endoscopy suite. Ninety-nine percent of new technologies were FDA cleared against existing technologies through the 510(k) pathway rather than approved on new clinical data. Among the 19 devices with clinical trial data, trials were limited in sample size and generally evaluated disease-related changes or technical success rather than patient-reported outcomes that anchor drug trials. Twelve devices (63.2%) had favorable, published cost-effective data. To promote evidence-based discussion and uptake of new technology, and especially disruptive or high-risk technology, we propose a practical framework informed by balancing probable efficacy and safety and considering cost-effectiveness.

Indexed as

Biomedical TechnologyGastroenterologyArtificial IntelligenceDevice ApprovalEndoscopy, GastrointestinalHumansUnited StatesUnited States Food and Drug Administrationdigital healthendoscopic devicemachine learningmedical devicepoint-of-care

Identifiers

PMID39950674
PMCPMC12350751

What OpenQuestion holds

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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.