Oct 2026· The Laryngoscope· 0 citations· 27 references
Medicine
Abstract
Objective
Pregnancy produces physiologic adaptations that may affect laryngeal tissues, respiratory support for phonation, and voice quality. We performed a scoping review exploring the influence of pregnancy on voice and laryngeal outcomes.
DATA SOURCES
PubMed, CINAHL, and Web of Science.
REVIEW
Methods
A scoping review was conducted per PRISMA-ScR guidelines. Searches of PubMed, CINAHL, and Web of Science yielded 1350 studies screened in Covidence by two reviewers. Of 107 full texts reviewed, 22 met inclusion criteria. We included human studies in which pregnancy was the primary exposure and voice-related outcomes were measured. Pregnancy-specific animal studies were included when modeling mechanisms of laryngeal change.
Results
Twenty-two studies met inclusion criteria and were grouped into domains: acoustic/aerodynamic (n = 16), patient-reported/perceptual (n = 12), physiologic laryngeal (n = 5), mechanistic animal studies (n = 4), singing voice (n = 4), and respiratory (n = 1); several studies contributed to multiple domains. Acoustic measures (fundamental frequency, jitter, shimmer) were generally unchanged, while multiple studies reported reduced maximum phonation time (MPT) during pregnancy. Subjective voice measures tended to worsen, and singer studies reported reduced vocal range and timbre changes. Physiologic studies noted increased vocal fold edema and reduced motility, most prominent in the third trimester. Mechanistic models supported hormone-associated mucosal changes and altered laryngeal protein expression.
Conclusions
The literature on voice changes during pregnancy is limited and heterogeneous, with evidence concentrated in late pregnancy. Pregnancy is more consistently associated with reduced phonatory efficiency and worse perceived voice function than with major acoustic vocal changes.
LEVEL OF EVIDENCE
N/A.
The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al.· Journal of Systems and Softw...· 111 citations· ⚡8
This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.
Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al.· Journal of Systems and Softw...· 78 citations· ⚡6
This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.
D. Graziotin, Xiaofeng Wang, P. Abrahamsson· SSE@SIGSOFT FSE· 56 citations· ⚡4
This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.
Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson· International Conference on...· 44 citations· ⚡5
It is demonstrated that linker-free PROTACs can outperform traditional designs, marking a paradigm shift in PROTAC development for targeted protein degradation.
Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.