Literature DB >> 31504928

Can artificial intelligence replace manual search for systematic literature? Review on cutaneous manifestations in primary Sjögren's syndrome.

Laure Orgeolet1, Nathan Foulquier2, Laurent Misery1, Pascal Redou2, Jacques-Olivier Pers3, Valérie Devauchelle-Pensec3,4, Alain Saraux3,4.   

Abstract

OBJECTIVES: Manual systematic literature reviews are becoming increasingly challenging due to the sharp rise in publications. The primary objective of this literature review was to compare manual and computer software using artificial intelligence retrieval of publications on the cutaneous manifestations of primary SS, but we also evaluated the prevalence of cutaneous manifestations in primary SS.
METHODS: We compared manual searching and searching with the in-house computer software BIbliography BOT (BIBOT) designed for article retrieval and analysis. Both methods were used for a systematic literature review on a complex topic, i.e. the cutaneous manifestations of primary SS. Reproducibility was estimated by computing Cohen's κ coefficients and was interpreted as follows: slight, 0-0.20; fair, 0.21-0.40; moderate, 0.41-0.60; substantial, 0.61-0.80; and almost perfect, 0.81-1.
RESULTS: The manual search retrieved 855 articles and BIBOT 1042 articles. In all, 202 articles were then selected by applying exclusion criteria. Among them, 155 were retrieved by both methods, 33 by manual search only, and 14 by BIBOT only. Reliability (κ = 0.84) was almost perfect. Further selection was performed by reading the 202 articles. Cohort sizes and the nature and prevalence of cutaneous manifestations varied across publications. In all, we found 52 cutaneous manifestations reported in primary SS patients. The most described ones were cutaneous vasculitis (561 patients), xerosis (651 patients) and annular erythema (215 patients).
CONCLUSION: Among the final selection of 202 articles, 155/202 (77%) were found by the two methods but BIBOT was faster and automatically classified the articles in a chart. Combining the two methods retrieved the largest number of publications.
© The Author(s) 2019. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Sjogren’s syndrome; artificial intelligence; skin manifestation; systematic literature review

Mesh:

Year:  2020        PMID: 31504928     DOI: 10.1093/rheumatology/kez370

Source DB:  PubMed          Journal:  Rheumatology (Oxford)        ISSN: 1462-0324            Impact factor:   7.580


  2 in total

Review 1.  Wearable activity trackers and artificial intelligence in the management of rheumatic diseases : Where are we in 2021?

Authors:  Thomas Davergne; Joanna Kedra; Laure Gossec
Journal:  Z Rheumatol       Date:  2021-10-11       Impact factor: 1.372

2.  The Predictive Role of Neutrophil-to-Lymphocyte Ratio (NLR), Platelet-to-Lymphocyte Ratio (PLR), Monocytes-to-Lymphocyte Ratio (MLR) and Gammaglobulins for the Development of Cutaneous Vasculitis Lesions in Primary Sjögren's Syndrome.

Authors:  Ancuta Mihai; Ana Caruntu; Daniela Opris-Belinski; Ciprian Jurcut; Alina Dima; Constantin Caruntu; Ruxandra Ionescu
Journal:  J Clin Med       Date:  2022-09-21       Impact factor: 4.964

  2 in total

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