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fiddle: a tool to combat publication bias by getting research out of the file drawer and into the scientific community

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fiddle: a tool to combat publication bias by getting research out of the file drawer and into the scientific community

Statistically important findings usually tend to be revealed than non-significant or null findings, leaving scientists and healthcare personnel to make choices based mostly on distorted scientific proof. Repeatedly increasing ´file drawers’ of unpublished information from well-designed experiments waste assets creates issues for researchers, the scientific group and the general public. There may be restricted consciousness of the unfavourable impression that publication bias and selective reporting have on the scientific literature.

Various publication codecs have lately been launched that make it simpler to publish analysis that’s tough to publish in conventional peer reviewed journals. These embody micropublications, information repositories, information journals, preprints, publishing platforms, and journals specializing in null or impartial outcomes. Whereas these different codecs have the potential to scale back publication bias, many scientists are unaware that these codecs exist and do not know how one can use them.

Our open supply file drawer information liberation effort (fiddle) software is a match-making Shiny app designed to assist biomedical researchers to establish essentially the most applicable publication format for his or her information. Customers can seek for a publication format that meets their wants, evaluate and distinction totally different publication codecs, and discover hyperlinks to publishing platforms. This software will help scientists in getting in any other case inaccessible, hidden information out of the file drawer into the scientific group and literature.

Pitfalls in scientific analysis: vital appraisal of articles revealed in one of many worldwide journals in Egypt

To establish and report flaws of Web-published articles within the Journal of the Egyptian Nationwide Most cancers Institute (JENCI), Cairo College, by means of a retrospective documentary research on articles revealed through the interval from 2011 to 2016. All sections have been reviewed in opposition to a collective guidelines. Articles have been grouped by publication yr into 2 intervals: early (from 2011 to 2013) and up to date (from 2014 to 2016) to establish adjustments in research traits over time. The research included 139 unique articles. Half of the titles represented purpose and 9.4% represented research design.
Abstracts have been concise, clear, with structured writing format in 98.6%, 93.5%, and 35.3%, respectively. Most introductions included the research purpose, whereas 41% had a rationale. Examine timing was reported in 59.0%, whereas the research design was reported in 25.9%. Inclusion and exclusion standards have been clearly reported in 43.1% and 40.1%, respectively. Statistical strategies have been talked about in 80.6%, full in 30.4%, and applicable in 85.7%. We briefly spotlight important particulars that ought to be included to make sure reporting high quality, which is able to enable others to make use of and profit from analysis revealed in these new codecs.
4 research reported pattern measurement estimation. Solely 52.5% and 58.3% of outcomes have been exhaustive and reply the analysis query, respectively. Incorrect statistical calculations occurred in 41.0%, inappropriate statistical checks or descriptive parameter choice in 26.6%, whereas inappropriate take a look at software occurred in 49.1%. About 60% of discussions didn’t fully cowl outcomes, 31.7% totally justified the findings, 56.1% adopted a logical circulate, and 36.7% had contradiction inside the textual content. Conclusions have been principally linked to purpose, imprecise, and extrapolating past outcomes.
On evaluating each intervals, solely a major much less misuse of statistical phrases, extra reporting battle of curiosity, extra lacking references for cited texts within the current interval, and extra participation of NCI over different institutes within the early interval have been discovered. Articles revealed in JENCI (from 2011 to 2016) had many methodological and reporting defects and a few factors of energy. Utilizing the collective guidelines developed by this research, steady coaching of researchers, involving epidemiologists all through the entire analysis course of, and making use of strict journal reporting and publication guidelines ought to be inspired.
fiddle: a tool to combat publication bias by getting research out of the file drawer and into the scientific community

A complete bibliometrics of ‘walkability’ analysis panorama: visualization of the scientific progress and future prospects

This research quantitatively investigated the scientific progress of walkability analysis panorama and its future prospects utilizing bibliometric indicators to spotlight the analysis hotspots. The outcomes accentuated multifaceted nature of walkability analysis panorama with a robust affiliation in direction of public well being disciplines. Key phrase co-occurrence evaluation emphasised that majority of the walkability research centred on the interactions between strolling and different three predominant elements resembling constructed atmosphere attributes, transportation and weight problems.

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Primarily based on the recognized analysis hotspots, a quick state-of-the-art overview of walkability research was offered. Future prospects based mostly on the unexplored analysis gaps inside the hotspots have been additionally mentioned. Excessive correlation (r = 0.99, p < 0.05) between annual publications and quotation counts demonstrated the importance of walkability research to the modern scientific group. Being one of many complete research to guage the historic trajectory of walkability analysis panorama, the findings have been anticipated to speed up a complete understanding of the walkability analysis area that can help future analysis route.