ArticleFrontiers in artificial intelligence2021
Sysrev: A FAIR Platform for Data Curation and Systematic Evidence Review.
Article in Frontiers in artificial intelligence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 6 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
37 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Transmission Risk of Intentional Transplantation of Kidneys From Donors With Active Hepatitis B to Recipients Without Active Hepatitis B: A Systematic Review and Meta-Analysis.Transplantation · 2026Pooled it
- Examining inclusivity: the use of AI and diverse populations in health and social care: a systematic review.BMC medical informatics and decision making · 2025Pooled it
- Comparing robotic and open partial nephrectomy under the prism of surgical precision: a meta-analysis of the average blood loss rate as a novel variable.Journal of robotic surgery · 2024Pooled it
- Animal sources of antimicrobial-resistant bacterial infections in humans: a systematic review.Epidemiology and infection · 2023Pooled it
- Pooled it
- Transfer Learning for Alzheimer's Disease through Neuroimaging Biomarkers: A Systematic Review.Sensors (Basel, Switzerland) · 2021Pooled it
- Mapping Scrub Typhus Across Multiple Hosts in India.EcoHealth · 2026Review
- Causality analysis of toxicological mechanisms in networked systems such as adverse outcome pathway networks.Archives of toxicology · 2026Review
- Beyond diet and health: scoping umbrella review of the wider impact and influence of ultra-processed foods.BMC public health · 2026Article
- Industry-defined opportunities for advancing big data capabilities in biopharmaceutical manufacturing.Frontiers in bioengineering and biotechnology · 2026Review
- HIDmap: a physiology-based map of human immune system development to support animal-free research and regulatory innovation.Frontiers in immunology · 2026Article
- An assessment of data and code sharing in research funded by the Nathan Shock Centers, 2017-2022: a meta-research study.Innovation in aging · 2026Article
- Evidence-based AI: from trailblazer to trustblazer?Frontiers in artificial intelligence · 2026Article
- Phyllosphere microbiomes uncovered: Research trends, geographic disparities, and key microbial players.Genetics and molecular biology · 2026Article
- AI snake oil? A risk/benefit analysis for toxicology.Frontiers in artificial intelligence · 2026Article
- Analytical approaches for medication management for patient safety: a scoping review.npj health systems · 2025Article
- Identifying and addressing the anthropogenic drivers of global change in the North Sea: a systematic map.Environmental evidence · 2025Article
- Ontogeny of drug-induced fatty liver disease (DIFLD): from key initiating events to disease phenotypes.Archives of toxicology · 2025Review
- Artificial Intelligence and Automation in Evidence Synthesis: An Investigation of Methods Employed in Cochrane, Campbell Collaboration, and Environmental Evidence Reviews.Cochrane evidence synthesis and methods · 2025Article
- Assessing risk of bias in toxicological studies in the era of artificial intelligence.Archives of toxicology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Well-curated datasets are essential to evidence based decision making and to the integration of artificial intelligence with human reasoning across disciplines. However, many sources of data remain siloed, unstructured, and/or unavailable for complementary and secondary research. Sysrev was developed to address these issues. First, Sysrev was built to aid in systematic evidence reviews (SER), where digital documents are evaluated according to a well defined process, and where Sysrev provides an easy to access, publicly available and free platform for collaborating in SER projects. Secondly, Sysrev addresses the issue of unstructured, siloed, and inaccessible data in the context of generalized data extraction, where human and machine learning algorithms are combined to extract insights and evidence for better decision making across disciplines. Sysrev uses FAIR - Findability, Accessibility, Interoperability, and Reuse of digital assets - as primary principles in design. Sysrev was developed primarily because of an observed need to reduce redundancy, reduce inefficient use of human time and increase the impact of evidence based decision making. This publication is an introduction to Sysrev as a novel technology, with an overview of the features, motivations and use cases of the tool.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.