Evidence map›Paper›PMID 41576415›Full record

ReviewCurrent opinion in otolaryngology & head and neck surgery2026

Speech and language therapy management of laryngotracheal stenosis - what has changed.

Gemma Clunie, Guri Sandhu, Justin Roe

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

3 authors.

Gemma ClunieImperial College London, Faculty of Medicine, Department of Surgery & Cancer.
Guri SandhuImperial College London, Faculty of Medicine, Department of Surgery & Cancer.
Justin RoeImperial College London, Faculty of Medicine, Department of Surgery & Cancer.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewTo examine how the clinical management of adults with laryngotracheal stenosis (LTS) by speech and language therapists (SLTs) has evolved over the past decade. The review highlights changes in assessment, counselling, and rehabilitation practices in response to advances in surgical interventions and explores implications for multidisciplinary care. RECENT

findingsRecent literature and clinical experience demonstrate that SLTs play a critical role in managing voice and swallowing outcomes for patients with LTS. While established care pathways exist for reconstructive surgery, the increasing use of minimally invasive endoscopic procedures and complex cases require more nuanced, individualized approaches. Prospective studies have defined the impact of LTS and its treatments on voice and swallowing, and a core outcome set (COS-LTS) has been developed to standardize outcome reporting in future research. Psychosocial support and patient-centred decision-making have become integral components of care. SUMMARY: Adults with LTS experience multifaceted challenges affecting breathing, voice, and swallowing. SLTs are essential members of the multidisciplinary team, providing pre and postoperative assessment, counselling, and rehabilitation. Advances in treatment options and recognition of psychosocial impacts necessitate flexible, holistic care strategies. Future research should focus on validating outcome measures, implementing the COS-LTS, and incorporating patient priorities to optimize functional and quality-of-life outcomes.

Indexed as

Language TherapyLaryngostenosisSpeech TherapyTracheal StenosisHumanslaryngotracheal stenosisoutcomesspeech and language therapyswallowingvoice

Identifiers

PMID41576415
PMCPMC13152048

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Registered trials

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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.