Publisher Correction: Global estimates on the number of people blind or visually impaired by cataract: a meta-analysis from 2000 to 2020 (Eye, (2024), 10.1038/s41433-024-02961-1)
Notice bibliographique
Résumé
Correction to: Eyehttps://doi.org/10.1038/s41433-024-02961-1, published online 09 March 2024 The original online version of this article was revised. First of all, the author list has been corrected from “Konrad Pesudovs, Van Charles Lansingh, John H. Kempen, Ian Tapply, Arthur G. Fernandes, Maria V. Cicinelli, Alessandro Arrigo, Nicolas Leveziel, Paul Svitil Briant, Theo Vos, Serge Resnikoff, Hugh R. Taylor, Tabassom Sedighi, Seth Flaxman, Jaimie Steinmetz, Rupert R. A. Bourne, Vision Loss Expert Group of the Global Burden of Disease Study and the GBD 2019 Blindness and Vision Impairment Collaborators” to include only the following institutional authors “Vision Loss Expert Group of the Global Burden of Disease Study and the GBD 2019 Blindness and Vision Impairment Collaborators”. The list of the individual authors and affiliations now appear at the end of the original paper. Furthermore, the following Article Note has been added: “These authors contributed equally: Jaimie Steinmetz and Rupert R. A. Bourne. These authors share the last authorship: Seth Flaxman and Jaimie Steinmetz.” The title of Table 1 has been corrected from “Number of people (mean [95% UI]) with blindness (presenting visual acuity <3/60) or MSVI (presenting visual acuity <6/18, ≥3/60) due to Cataract, the age-standardized prevalence (%) in people of all ages and aged ≥50 years (mean [95% UI]), and the percentage of all blindness or MSVI attributed to Cataract (95% UI) in world regions in 2020” to “Number of people of all ages (mean [95% UI]) with blindness (presenting visual acuity <3/60) or MSVI (presenting visual acuity <6/18, ≥3/60) due to Cataract, the age-standardized prevalence (%) in people aged ≥50 years (mean [95% UI]), and the percentage of all blindness or MSVI attributed to Cataract in people aged ≥50 years (95% UI) in world regions in 2020”. The following Data Availability statement was added: “Data sources for the Global Vision Database are listed at the following weblink http://www.anglia.ac.uk/verigbd. Fully disaggregated data is not available publicly due to data sharing agreements with some principal investigators yet requests for summary data can be made to the corresponding author.” Furthermore, the information in the “Funding” section was incomplete. The following information was added: “This study was funded by Brien Holden Vision Institute, Fondation Thea, Fred Hollows Foundation, Bill & Melinda Gates Foundation, Lions Clubs International Foundation (LCIF), Sightsavers International, and University of Heidelberg.” The “Competing interests” section has been corrected from “The authors declare no competing interests” to the following detailed information: GBD 2019 Blindness and Vision Impairment Collaborators Declarations N S Bayileyegn reports participation on a Data Safety Monitoring Board or Advisory Board with Jimma University, and leadership or fiduciary roles in board, society, committee or advocacy groups, paid or unpaid with Jimma University as a discipline committee member; outside the submitted work. S Bhaskar reports grants or contracts from the Japan Society for the Promotion of Science (JSPS), JSPS International Fellowship, Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT), the Australian Academy of Science, Grant-in-Aid for Scientific Research (KAKENHI); leadership or fiduciary roles in board, society, committee or advocacy groups, paid or unpaid with Rotary District 9675 as the District Chair of Diversity, Equity, and Inclusion; the Global Health & Migration Hub Community and the Global Health Hub Germany (Berlin, Germany) as the Chair and Manager; PLOS One, BMC Neurology, Frontiers In Neurology, Frontiers in Stroke, Frontiers in Public Health and BMC Medical Research Methodology as an Editorial Board Member; and with the College of Reviewers, Canadian Institutes of Health Research (CIHR), and the Government of Canada as a Member; outside the submitted work.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,000 | 0,006 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,042 | 0,001 |
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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».