Evidence map›Paper›PMID 41859942›Full record

ReviewCurrent opinion in otolaryngology & head and neck surgery2026

Rehabilitation treatment specification system: latest tools, trials, and pathways to advance the science underlying voice therapy.

Jarrad H Van Stan

Abstract readReview
In one paragraph

Review in Current opinion in otolaryngology & head and neck surgery, 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

1 author.

Jarrad H Van StanDepartment of Laryngeal Surgery, Massachusetts General Hospital, Boston.

Funding

RTSS-Voice: Towards a unified system to classify treatments for muscle tension dysphoniaR01DC020247 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI Jarrad Van Stan · 2022 to 2026
$2.5M
Measuring what happens in voice therapy: refinement and testing of a voice therapy taxonomyR21DC016124 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI VAN STAN, JARRAD · 2017 to 2021
$555k
NIDCD NIH HHS R01 DC020247NIDCD NIH HHS R21 DC016124
6 · The paper itself

Abstract

purpose of reviewThis review summarizes the latest advances in applying the rehabilitation treatment specification system (RTSS) to voice therapy. RECENT

findingsRecent RTSS work has moved beyond conceptual endorsement to practical demonstrations in vocal rehabilitation. Multiple studies now provide complete RTSS specifications of voice therapy protocols and everyday clinical care, supporting content validity and enabling direct comparison of treatment components across approaches and sites. RTSS-guided intervention development has produced componentized protocols that translate treatment theories into explicit ingredient-target hypotheses suitable for refinement through empirical testing. RTSS-based mapping has also clarified overlap and meaningful differences across evidence-based therapies. Finally, RTSS-informed evidence synthesis has reduced heterogeneity in meta-analytic work by regrouping studies according to mechanism-relevant component categories (organ functions vs. skills & habits), yielding more interpretable patterns of treatment effects. SUMMARY: The RTSS is emerging as a practical infrastructure for cumulative, component-based voice therapy science, supporting clearer intervention reporting, mechanistic interpretation, cross-disciplinary transfer, and scalable adoption in routine documentation.

Indexed as

Voice DisordersVoice TrainingHumansadherencemeta-analysismotor learningrehabilitationtreatmentvoice therapy

Identifiers

PMID41859942
PMCPMC13007710

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.