Notice bibliographique
Résumé
The 2024 three-year plan for Optometry & Vision Science included increasing the number of feature issues,1 and the journal has already published four high-level and well-received feature issues on: Advances in Vision Impairment Research in June 2024. Advances in Ocular Surface Research in September 2024 Aging, the Eye and Vision System in February 2025 Advances in Refractive Error Research in May 2025. We are excited to say that our next feature issue is on advances in glaucoma research. The world of glaucoma research continues to move quickly. Over the last 25 years, we have seen the redefinition of glaucoma as a neurodegenerative disease, imaging of retinal changes in previously unimaginable detail, have redefined normal tension glaucoma, improved functional testing, have new clinical guidelines, developed new pharmacological, laser, and surgical treatments, have new ways to measure intraocular pressure and examine the anterior chamber angle, and have seen the dawn of artificial intelligence, home monitoring, and personalized medicine. Especially pertinent to Optometry & Vision Science, in many parts of the world, we have seen optometrists take a leading role in the treatment and management of glaucoma, expanding and enhancing care provision. There is a great excitement that the next decade will see current research in neuroinflammation, neuroprotection, and neurorestoration lead to cures and eventually sight restoration. Boosting mitochondrial function, helping the retina to heal itself, clinical imaging at the cellular level, and tailoring interventions to the type and stage of disease are all approaches offering hope to our patients. These advances sit alongside ever-improving diagnostic and monitoring techniques, improved care pathways, and better understanding of how glaucoma affects vision and the daily activities of those with the disease. We invite you to join us in ensuring that the feature issue on advances in glaucoma research will disseminate, educate, and help prepare us all to understand the progress that is shaping our future clinical impact. DEADLINE The deadline for submission of papers to this feature issue is November 3, 2025. We are happy to accept submissions after the deadline, but late submissions requiring major revisions may not complete the peer review process in time for inclusion in the feature issue. Of course, if a slightly late submission received a “minor revision” decision, it would very likely be published in the feature issue. PUBLICATION ONLINE BEFORE THE ISSUE Each individual paper is published online quickly after acceptance and appears in the pre-publication area of Optometry & Vision Science’s webpages (https://journals.lww.com/optvissci/toc/pre-publication). The feature issue itself will then likely be published in the May or June 2026 issue. TOPICAL AREAS Our team of feature issue editors has highlighted several areas that we would particularly keen to receive submissions in. These include: AI and glaucoma Bioinformatics and glaucoma Diagnostics and disease detection Evaluating progression and disease management Innovative case series Disease mechanisms Clinical psychophysics, including perimetry Imaging (including Optical Coherence Tomography, Optical Coherence Tomography Angiography, adaptive optics, and oximetry) Animal models Cell and molecular biology Neuroinflammation, neuroprotection, and neuroregeneration Quality of life and task performance THE FEATURE ISSUE EDITORS The glaucoma research feature issue team is: Jonathan Denniss, University of Bradford, Bradford, United Kingdom, lead co-editor. John Flanagan, University of California at Berkeley, Berkley, California, lead co-editor. Bang Bui, The University of Melbourne, Victoria, Australia. Brad Fortune, Devers Eye Institute, Portland, Oregon. Danica Marrelli, University of Houston, Houston, Texas. Nimesh Patel, University of Houston, Houston, Texas. Jeremy Sivak, University of Toronto, Toronto, Canada. Joanne Wood, Queensland University of Technology, Queensland, Australia. Please pass on this call for papers to colleagues who may be interested in submitting papers. Please prepare submissions according to the Instructions for Authors: https://edmgr.ovid.com/ovs/accounts/ifauth.htm and submit them online at https://www.editorialmanager.com/ovs/default2.aspx, noting that your paper is being submitted for consideration of this feature issue.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,013 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,003 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,009 | 0,005 |
| Science ouverte | 0,003 | 0,003 |
| Intégrité de la recherche | 0,006 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,219 | 0,139 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».