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A bibliometric analysis of systematic reviews and meta-analyses in ophthalmology, from 2000 to 2020

<p><span>Objectives:</span><span> To establish the scientometric landscape of </span><span>systematic reviews and meta-analyses (SRMAs) published in the field of ophthalmology over time.</span></p> <p><span>Results</span><span>: A total of 2,660 SRMAs were included, and t</span><span>he average annual growth rate was 21.26%. </span><span>China and the USA were the most productive countries, while </span><span>Singapore was</span><span> the country with the highest </span><span>average citations per document. Wong TY was not only the most productive, but also the most frequently cited author. The most productive affiliation was National University of Singapore (n=236). SRMA output in most subspecialties had steadily increased with retina/vitreous (n=986), glaucoma (n=411) and cornea/external diseases (n=303) constantly as the most dominant fields. Rates of </span><span>pre-registration and guideline compliance had dramatically increased over time</span><span>, with 20.0% and 63.5% of SRMA being pre-registered and reported guideline in 2020, respectively. However, SRMAs published on ophthalmic journals tended to be less frequently pre-registered and guideline complied than those on non-ophthalmic journals (both P &lt; 0.05).</span></p> <p><span>Conclusions</span><span>:</span><span> The annual output of SRMAs has been rapidly increasing over the past two decades. China and the USA were the most productive countries, whereas Singapore had the most prolific and influential scholar and institution. R</span><span>aising awareness and </span><span>implementation </span><span>of SRMA pre-registration and guideline compliance </span><span>is still necessary to ensure quality, especially for ophthalmic journals.</span></p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
12
Access
12
Reuse readiness
0
Engagement
8

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