Screening for in vitro systematic reviews: a comparison of screening methods and training of a machine learning classifier.

Publication Year: 2023

DOI:
10.1042/CS20220594

PMCID:
PMC9885807

PMID:
36630537

Journal Information

Full Title: Clin Sci (Lond)

Abbreviation: Clin Sci (Lond)

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Medicine

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
5/6
83.3% Transparent
Transparency Indicators
Click on green indicators to view evidence text
Core Indicators
Evidence found in paper:

"the study protocol for the comparison of screening methods is available at https://osf io/cq48b/ .; the study protocol for the development of a machine learning classifier is available at https://osf io/bjsp2/ . data availability data and code used in the analysis are available on github ( https://github com/emma-wilson/in-vitro-screening ) and are shared under a creative commons attribution 4 0 international license."

Evidence found in paper:

"data availability data and code used in the analysis are available on github ( https://github com/emma-wilson/in-vitro-screening ) and are shared under a creative commons attribution 4 0 international license."

Evidence found in paper:

"Competing Interests The authors declare that there are no competing interests associated with the manuscript."

Evidence found in paper:

"Funding S.K.M. and F.C. were supported by the German Federal Ministry of Education and Research (BMBF) under the Confirmatory Preclinical Studies and Systematic Reviews Initiative [grant number 01KC190]."

Protocol Registration
Open Access
Paper is freely available to read
Additional Indicators
Replication
Novelty Statement
Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025