Unknown

Dataset Information

0

The currency and completeness of specialized databases of COVID-19 publications.


ABSTRACT:

Objective

Several specialized collections of COVID-19 literature have been developed during the global health emergency. These include the WHO COVID-19 Global Literature Database, Cochrane COVID-19 Study Register, CAMARADES COVID-19 SOLES, Epistemonikos' COVID-19 L-OVE, and LitCovid. Our objective was to evaluate the completeness of these collections and to measure the time from when COVID-19 articles are posted to when they appear in the collections.

Study design and setting

We tested each selected collection for the presence of 440 included studies from 25 COVID-19 systematic reviews. We sampled 112 journals and prospectively monitored their websites until a new COVID-19 article appeared. We then monitored for 2 weeks to see when the new articles appeared in each collection. PubMed served as a comparator.

Results

Every collection provided at least one record not found in PubMed. Four records (1%) were not in any of the sources studied. Collections contained between 83% and 93% of the primary studies with the WHO database being the most complete. By 2 weeks, between 60% and 78% of tracked articles had appeared.

Conclusion

Our findings support the use of the best performing COVID-19 collections by systematic reviews to replace paywalled databases.

SUBMITTER: Butcher R 

PROVIDER: S-EPMC8942908 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

The currency and completeness of specialized databases of COVID-19 publications.

Butcher Robyn R   Sampson Margaret M   Couban Rachel J RJ   Malin James Edward JE   Loree Sara S   Brody Stacy S  

Journal of clinical epidemiology 20220324


<h4>Objective</h4>Several specialized collections of COVID-19 literature have been developed during the global health emergency. These include the WHO COVID-19 Global Literature Database, Cochrane COVID-19 Study Register, CAMARADES COVID-19 SOLES, Epistemonikos' COVID-19 L-OVE, and LitCovid. Our objective was to evaluate the completeness of these collections and to measure the time from when COVID-19 articles are posted to when they appear in the collections.<h4>Study design and setting</h4>We t  ...[more]

Similar Datasets

| S-EPMC9874771 | biostudies-literature
| S-EPMC10185478 | biostudies-literature
| S-EPMC7506363 | biostudies-literature
| S-EPMC8475971 | biostudies-literature
| S-EPMC9364859 | biostudies-literature
| S-EPMC8931386 | biostudies-literature
| S-EPMC8654585 | biostudies-literature
| S-EPMC8485960 | biostudies-literature
| S-EPMC9263802 | biostudies-literature
| S-EPMC8858007 | biostudies-literature