ArticleBMJ open2026
Modelling pharyngolaryngeal effectiveness using multimodal non-invasive sensors: study protocol for the PhLEs clinical trial.
Emmanuelle Cugy, Clémence Devoucoux, Jérôme Farinas, Sandrine Mouysset, Linda Nicolini, Muriel Lalain, Alain Ghio, Benoit Lepage, Eric Verin, Sylvain Moriniere and 2 more
Abstract read
In one paragraphArticle in BMJ open, 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
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
12 authors.
Jérôme FarinasIRIT (Information Technology Research Institute), Toulouse University, CNRS (National Centre for Scientific Research), Toulouse INP, UT3, Toulouse, France.ORCID http://orcid.org/0000-0002-7456-9019 Sandrine MouyssetIRIT (Information Technology Research Institute), Toulouse University, CNRS (National Centre for Scientific Research), Toulouse INP, UT3, Toulouse, France.ORCID http://orcid.org/0000-0003-0407-0527 Linda NicoliniNyx Medical, Colomiers, France.
Muriel LalainCNRS (National Centre for Scientific Research), LPL, Aix-Marseille University, Aix-en-Provence, France.
Alain GhioCNRS (National Centre for Scientific Research), LPL, Aix-Marseille University, Aix-en-Provence, France.
Benoit LepageUniv Toulouse, CHU Toulouse, USMR (Methodological Research Support Unit), Toulouse, France, Toulouse University, Toulouse, France.
Eric VerinGRHVN UR 3830 (Ventilatory and Neurological Handicaps Research Group), Experimental Surgery Laboratory, Rouen Normandy University, Rouen, France.
Sylvain MoriniereOtorhinolaryngology and Head and Neck Surgery, Regional University Hospital Centre Tours, Tours, France.
Gaelle SorianoUniv Toulouse, CHU Toulouse, Geriatrics, Toulouse, France, University Hospital Centre Toulouse, Toulouse, France.
Virginie WoisardUniv Toulouse, CHU Toulouse, Larrey Hospital, Department of Otorhinolaryngology and Head and Neck Surgery, IUCT-Oncopole, Toulouse, France, University Hospital of Toulouse, Toulouse, France woisard.v@chu-toulouse.fr.ORCID http://orcid.org/0000-0003-3895-2827 Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
PubMed holds no abstract for this paper.
Indexed as
Artificial IntelligenceLaryngologyRisk FactorsWearable Devices
Identifiers
PMID42864132
PMCPMC13662041
What OpenQuestion holds
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