Literature DB >> 29031017

How to reduce scientific irreproducibility: the 5-year reflection.

Clare Fiala1, Eleftherios P Diamandis1.   

Abstract

We discuss in depth six causes of scientific irreproducibility and their ramifications for the clinical sciences: fraud, unfounded papers published by prominent authorities, bias, technical deficiencies, fragmented science and problems with big data. Some proposed methods to combat this problem are briefly described, including an effort to replicate results from some high impact papers and a proposal that authors include detailed preclinical data in papers with supposedly high translational value. We here advocate for a 5-year reflection on papers with seemingly high clinical/translational potential, published alongside the original paper where authors reflect on the quality, reproducibility and impact of their findings. These reflections can be used as a benchmark for credibility, and begin a virtuous cycle of improving the quality of published findings in the literature.

Keywords:  high-impact publications; irreproducible findings; reflections; replication; scientific reproducibility; translational research

Mesh:

Year:  2017        PMID: 29031017     DOI: 10.1515/cclm-2017-0759

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  4 in total

Review 1.  The democratization of scientific publishing.

Authors:  Clare Fiala; Eleftherios P Diamandis
Journal:  BMC Med       Date:  2019-01-18       Impact factor: 8.775

2.  Antihyperalgesic effects of Meteorin in the rat chronic constriction injury model: a replication study.

Authors:  Jennifer Y Xie; Chaoling Qu; Gordon Munro; Kenneth A Petersen; Frank Porreca
Journal:  Pain       Date:  2019-08       Impact factor: 7.926

3.  Using Cell Cultures for the Investigation of Treatments for Attention Deficit Hyperactivity Disorder: A Systematic Review.

Authors:  Danielly Chierrito; Camila B Villas-Boas; Fernanda S Tonin; Fernando Fernandez-Llimos; Andréia C C Sanches; João C P de Mello
Journal:  Curr Neuropharmacol       Date:  2019       Impact factor: 7.363

Review 4.  Uncovering the Depths of the Human Proteome: Antibody-based Technologies for Ultrasensitive Multiplexed Protein Detection and Quantification.

Authors:  Annie H Ren; Eleftherios P Diamandis; Vathany Kulasingam
Journal:  Mol Cell Proteomics       Date:  2021-09-28       Impact factor: 7.381

  4 in total

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