ArticleEuropean journal of public health2022
Contest of Best Practices tackling social inequalities in cancer prevention: an iPAAC initiative.
Article in European journal of public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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0 citing papers in PubMed, 1 citations in OpenAlex.
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Current health promotion and early cancer detection programmes yield different results depending on the social group and have a different impact among individuals. Thus, they may generate social inequalities in health. The Contest of Best Practices tackling social inequalities in cancer prevention is an initiative that emerged in the framework of the Innovative Partnership for Action Against Cancer Joint Action. This contest identifies interventions that have proven to be effective in reducing social inequalities in cancer prevention in European countries, with the aim of sharing lessons learned and inspiring solutions, as well as facilitating replication in other health systems and similar social settings.
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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.