Predictive modeling for score translation among patient-reported outcome measures in chronic rhinosinusitis with nasal polyps: a cross-sectional study

Predictive modeling among PRO questionnaires in CRSwNP is both feasible and clinically impactful. These models facilitate the translation of scores between instruments, thus enhancing clinical decision-making, streamlining patient assessments, and supporting data harmonization in multicentric and longitudinal studies. Future research should pursue external and longitudinal validations to ensure broader applicability and reliability of these predictive tools.

Authors

Institutions

Publication Details

Journal
European Archives of Oto-Rhino-Laryngology
Published
2025-06-18
DOI
https://doi.org/10.1007/s00405-025-09446-1
Citations
2
Primary Topic
Sinusitis and nasal conditions
Type
article
Field-Weighted Citation Impact
3.70

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predictive modeling for score translation among patient-reported outcome measures in chronic rhinosinusitis with nasal polyps: a cross-sectional study

Rafael Lomas‐Vega, María Soledad Sánchez‐Torices, Javier Modesto García‐Fernández, M A Montilla-Ibáñez et al.
2 citations
European Archives of Oto-Rhino-Laryngology
Sinusitis and nasal conditions
3.70
article

Predictive modeling for score translation among patient-reported outcome measures in chronic rhinosinusitis with nasal polyps: a cross-sectional study

Rafael Lomas‐Vega, María Soledad Sánchez‐Torices, Javier Modesto García‐Fernández, M A Montilla-Ibáñez, M A Feliz-Fernández
article en
2 citations

Abstract

Predictive modeling among PRO questionnaires in CRSwNP is both feasible and clinically impactful. These models facilitate the translation of scores between instruments, thus enhancing clinical decision-making, streamlining patient assessments, and supporting data harmonization in multicentric and longitudinal studies. Future research should pursue external and longitudinal validations to ensure broader applicability and reliability of these predictive tools.

European Archives of Oto-Rhino-LaryngologyVol. 282(9)
Universidad de Jaén (ES), Complejo Hospitalario de Jaén (ES)
Universidad de Jaén
Life in Land
Openalex Percentile: Top 7%
Sinusitis and nasal conditions
3.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.