Back

Validation of semi-automatic citation screening software for creating clinical practice guidelines

Oami, T.; Okada, Y.; Fukuda, T.; Sakuraya, M.; Nakada, T.-a.; Shime, N.

2022-11-18 intensive care and critical care medicine
10.1101/2022.11.17.22282374 medRxiv
Show abstract

BackgroundThis study aims to investigate the quality of the literature search and workload saving using the semi-automatic software for citation screening in the development of the Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock (J-SSCG). MethodsWe will conduct a prospective study to compare the efficiency of citation screening between the conventional method using Rayyan and semi-automatic citation screening using ASReview. The two independent reviewers will conduct literature searches for clinical questions. During the session, we objectively measure the time to accomplish the citation screening. After the citation screening, we will calculate the sensitivity and specificity from the results of the conventional and semi-automatic procedures. Also, we will compare the accumulated time between the two methods. Trial registrationThis research is submitted with the University hospital medical information network clinical trial registry (UMIN-CTR) [UMIN000049366]. Conflicts of interestAll authors declare no conflicts of interest to have. FundingNone

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.