Evidence map›Paper›PMID 41838125›Full record

ArticleDysphagia2026

Mapping the DIGEST Decision Tree to the IDDSI Framework to Promote Reproducibility and Global Implementation.

Katherine A Hutcheson, Catriona M Steele, Peter Lam, Carly E A Barbon

Abstract read
In one paragraph

Article in Dysphagia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Katherine A HutchesonDepartment of Head and Neck Surgery, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA. karnold@mdanderson.org.ORCID http://orcid.org/0000-0003-3710-5706
Catriona M SteeleToronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada.
Peter LamUniversity of British Columbia, Vancouver, BC, Canada.
Carly E A BarbonDepartment of Head and Neck Surgery, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA.

Funding

Establishing Reference Values and Clinical Decision Points for Quantitative Videofluoroscopic Measures of SwallowingR01AG077481 · NIA · UNIVERSITY HEALTH NETWORK · PI Emily Kate Plowman, Catriona Margaret Steele · 2022 to 2026
$4.3M
Dissemination and implementation of DIGEST™ as an evidence-based measurement tool for dysphagia in cancerR01CA271223 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Katherine Arnold Hutcheson · 2023 to 2026
$2.6M
Division of Cancer Prevention, National Cancer Institute R01271223NCI NIH HHS R01 CA271223NIA NIH HHS R01 AG077481
6 · The paper itself

Abstract

The Dynamic Imaging Grade of Swallowing Toxicity (DIGEST) is an evidence-based tool used to grade the results of radiographic and endoscopic evaluations of pharyngeal swallowing function. DIGEST uses a decision tree to derive dysphagia grades (0 = normal, 1 = mild, 2 = moderate, 3 = severe, 4 = profound/life threatening) based on patterns of penetration/aspiration and residue events over different bolus types (e.g., liquid, pudding, solid) and consistencies (e.g., thin or thick liquid). Generic terminology was used to describe bolus types and consistencies in the original DIGEST decision tree. In this commentary, the investigators map the DIGEST decision tree to the International Dysphagia Diet Standardisation Initiative (IDDSI) terminology. The goal of this work is to promote reproducibility in clinical implementation of DIGEST by clarifying the original generic descriptors of bolus type/consistency with the IDDSI terminology.

Indexed as

ConsistenciesDIGESTDysphagiaIDDSI

Identifiers

PMID41838125
PMCPMC13292032

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.