SynthesisEuropean journal of clinical pharmacology2017
Can systematic reviews contribute to regulatory decisions?
Synthesis in European journal of clinical pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 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
5 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Toxic effects of nanomaterials for health applications: How automation can support a systematic review of the literature?Journal of applied toxicology : JAT · 2022Pooled it
- Comparative Effectiveness and Safety of Direct Oral Anticoagulants: Overview of Systematic Reviews.Drug safety · 2019Pooled it
- Enhancing the quality and efficiency of regulatory science literature reviews through innovation and collaboration with library and information science experts.Frontiers in medicine · 2024Article
- Safety of psychotropic medicines: looking beyond randomised evidence.Epidemiology and psychiatric sciences · 2018Article
- Public health psychopharmacology: a new research discipline comes of age?Epidemiology and psychiatric sciences · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe new call on independent research on drugs issued in October 2016 by the Italian Medicines Agency (AIFA) explicitly reported that proposals based on systematic reviews were not admissible, and no justification or explanation for this choice was given. Prompted by this policy decision, here, we briefly discuss the potential usefulness of systematic reviews in responding to regulatory needs. First, systematic reviews, by collecting, analysing and critically appraising all relevant studies on a specific topic, may be used by different stakeholders as a basis for making clinical and policy recommendations, including regulatory recommendations. Second, systematic reviews may advance knowledge as primary clinical research does. Third, systematic reviews may be particularly useful to detect signals of unknown adverse effects. Fourth, systematic reviews may be used to identify knowledge gaps. PROPOSAL: Systematic reviews may simultaneously produce new findings and summarize existing knowledge, with the potential of informing regulatory decisions more pragmatically and more rapidly than other research designs. We suggest that national and international calls on independent research on drugs should not put primary clinical research against systematic reviews, as it implies a focus on the methods instead of on the questions being asked. As most calls only broadly define the research areas and the topics to be covered, we argue that it should be up to the applicant to make a proposal on which design provides the most valid and useful answer, and up to the assessors to carefully check the validity, feasibility and relevance of such a proposal.
Indexed as
Identifiers
28064354What 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.