ArticleMethodsX2025
AI-pocalypse now: Automating the systematic literature review with SPARK (Systematic processing and automated review Kit) - gathering, organising, filtering, and scaffolding.
Article in MethodsX, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Researchers today face significant challenges reshaping the landscape of academic, government, and industry research due to the exponential growth of global research outputs and the advent of Generative Artificial Intelligence (GenAI). The annual increase in published works has made it difficult for traditional literature review and data analysis methods to keep pace, often rendering reviews outdated by the time of publication. In response, this methods article introduces a suite of new tools designed to automate a number of stages for systematic literature reviews. Designated SPARK (Systematic Processing and Automated Review Kit), the new computational-based approaches presented in this article automate the collection, organisation, and filtering of journal articles, alongside a data extraction scaffolding technique, for use in a systematic literature review on trauma-informed policing. As global research outputs rise, so does the need for automated methods. This paper highlights how these methods can enhance research efficiency and impact.•Hard-coded tools can be utilised to automate research.•Hard-coded tools do not carry the dangers of 'hallucinations' that GenAI infused tools may.•Hard-coded automation tools allow researchers to keep up to date with contemporary research outputs while maintaining a high level of control in the research process.
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.