ArticleBMJ open2022
Predatory conferences: a systematic scoping review.
Article in BMJ open, 2022. 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.
- Scientific Meetings in Medical Oncology: Are We Facing a Time- and Resource-Consuming Plethora?Current oncology (Toronto, Ont.) · 2026Article
- [Predatory journals: What are they and how to avoid them?]Revista medica del Instituto Mexicano del Seguro Social · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo systematically map the scholarly literature on predatory conferences and describe the present state of research and the prevalent attitudes about these conferences.
methodsThis scoping review follows Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Four databases were searched (PubMed/Medline, Web of Science, Scopus and ProQuest Social Sciences Premium Collection). In addition, the included studies' reference lists were scanned for additional papers not found in the searches. Peer-reviewed publications were included irrespective of study design. Letters and commentary were included if they were peer reviewed. Editorials and literature reviews were excluded.
resultsFrom 809 initial publications, 20 papers were included in the review, from 12 countries and covered a wide range of science disciplines, from nursing/medicine to energy/technology and computer science. More than half were empirical and published after 2017. In most papers, a definition of the term predatory conferences was put forward. Spam email invitations with flattering language were the most common characteristics, and the conferences were often hosted by unknown organisations that used copied pictures without permission. High fees, lack of peer review, and a multidisciplinary scope were signal features. All papers explicitly or implicitly suggested possible reasons for participating in predatory conferences. Some reasons were related to the overall context of academic work, the nature of predatory conferences (eg, researchers falling prey to misleading information about a conference or choosing a conference based on an attractive location) and the personal characteristics of researchers. Only one paper reported empirically identified reasons for participating in predatory conferences. The three countermeasures proposed most frequently to deal with predatory conferences were increasing education, emphasising responsibilities of universities and funders, and publishing lists of predatory publishers associated with conferences.
conclusionsThis review identified a scarcity of research concerning predatory conferences. Future empirical as well as fully analytical research should be encouraged by funders, journals and research institutions.
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.