Cochrane

Machine learning reduced workload with minimal risk of missing studies: development and evaluation of a randomized controlled trial classifier for Cochrane Reviews

James Thomas, Steve McDonald, Anna H Noel-Storr et al.

2020 · 228 Zit.

Identifying and managing problematic trials: A research integrity assessment tool for randomized controlled trials in evidence synthesis

Stephanie Weibel, Maria Popp, Stefanie Reis et al.

2022 · 87 Zit.

Tailored PRISMA 2020 flow diagrams for living systematic reviews: a methodological survey and a proposal

Lara A Kahale, Rayane El-Khoury, Ibrahim El Mikati et al.

2022 · 49 Zit.

Erythropoietin or Darbepoetin for patients with cancer - meta-analysis based on individual patient data

Julia Bohlius, Sven Trelle, Olaf Weingart et al.

2008 · 38 Zit.

When beauty is but skin deep: dealing with problematic studies in systematic reviews

Stephanie Boughton, Jack Wilkinson, Lisa Bero

2021 · 34 Zit.

Opportunities, challenges and risks of using artificial intelligence for evidence synthesis

Waldemar Siemens, Erik von Elm, Harald Binder et al.

2025 · 23 Zit.

Reducing the residue of retractions in evidence synthesis: ways to minimise inappropriate citation and use of retracted data

Caitlin Bakker, Stephanie Boughton, Clóvis Mariano Faggion et al.

2023 · 20 Zit.

INSPECT-SR: a tool for assessing trustworthiness of randomised controlled trials

Jack Wilkinson, Calvin Heal, Ella Flemyng et al.

2025 · 7 Zit.

Identifying and managing problematic trials: a Research Integrity Assessment (RIA) tool for randomized controlled trials in evidence synthesis

Stephanie Weibel, Maria Popp, Stefanie Reis et al.

2022 · 6 Zit.

Comparison of preprints and final journal publications from COVID-19 Studies: Discrepancies in results reporting and spin in interpretation

Lisa Bero, Rosa Lawrence, Louis Leslie et al.

2021 · 4 Zit.

Position Statement on Artificial Intelligence (AI) Use in Evidence Synthesis Across Cochrane, the Campbell Collaboration, JBI, and the Collaboration for Environmental Evidence 2025

Ella Flemyng, Anna H Noel-Storr, Biljana Macura et al.

2025 · 4 Zit.

Reporting guideline for chatbot health advice studies: The CHART statement

Bright Huo, Gary S. Collins, David Chartash et al.

2025 · 3 Zit.

Position statement on artificial intelligence (AI) use in evidence synthesis across Cochrane, the Campbell Collaboration, JBI and the Collaboration for Environmental Evidence 2025

Ella Flemyng, Anna H Noel-Storr, Biljana Macura et al.

2025 · 3 Zit.

Implications of the artificial intelligence extensions to the guidelines for consolidated standards of reporting trials and for standard protocol item recommendations for interventional trials (the CONSORT-AI and SPIRIT-AI extensions)

Ameenat Lola Solebo, Tasanee Braithwaite

2020 · 2 Zit.

Position statement on artificial intelligence (AI) use in evidence synthesis across Cochrane, the Campbell Collaboration, JBI, and the Collaboration for Environmental Evidence 2025

Ella Flemyng, Anna H Noel-Storr, Biljana Macura et al.

2025 · 2 Zit.