the quality of method reporting in
TRANSCRIPT
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Bio-Health Informatics GroupSchool of Computer Science
The Quality of Method Reporting in Biology
ExperimentsRobert Stevens
Bio-Health Informatics GroupSchool of Computer Science
University of [email protected]
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Bio-Health Informatics GroupSchool of Computer Science
Why is good method reporting important?
Results are determined by method
Understanding method helps understanding the results
Are the results valid?
Can these two sets of results be compared?
Can these results be reproduced?
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Bio-Health Informatics GroupSchool of Computer Science
The origin of our work
inhibitors of iNO synthase
Experiment [1]
Experiment [2]
+
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=[…] the treatment of infected C57BL/6 mice with inhibitors of NO synthase increased parasitaemia and mortality.
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iNO synthase-knockout
=[…] blood parasitaemia and survival rates are similar between wild-type and iNOS-deficient mice.
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Bio-Health Informatics GroupSchool of Computer Science
Our Approach
What should be reported in a parasite host experiment?
Select papers for a range of parasite types
Code against what should be reported
Generate some metrics
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Bio-Health Informatics GroupSchool of Computer Science
Investigate experiments on a range of organisms
Leishmania
Schistosoma
Toxoplasma
Plasmodium
Trypanosoma Trichuris Mycobacterium
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Bio-Health Informatics GroupSchool of Computer Science
A checklist for Trypanosoma experiments
Identify the species of the parasite
Describe the age of the animal
Describe the ratio -parasites per cell- used
Describe the way of inoculationIn vivo
Describe the supplements / antibiotics used
Expe
rimen
tal
cond
ition
sHo
stPa
rasit
e
In vitro
The full checklist is here: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0101131
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Bio-Health Informatics GroupSchool of Computer Science
Finally 23 papers on Trypanosomiasis and 10 papers selected for each of the other species.
Selecting papers
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Bio-Health Informatics GroupSchool of Computer Science
Compliance of parasite reporting with checklist
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Bio-Health Informatics GroupSchool of Computer Science
Compliance of host reporting with checklist
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Bio-Health Informatics GroupSchool of Computer Science
Compliance of experiment reporting with checklist
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Bio-Health Informatics GroupSchool of Computer Science
Summary of assessing Trypanosoma experiments
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Bio-Health Informatics GroupSchool of Computer Science
Time
Literature survey using text mining
From 1994 to 2014 15,311 full-text articles F-measure ~0.92
Sex and Age matter in biomedical research
* Copy Right Disclaimer *The images posted on this slide are available in various places on the Internet, and believed to be public domain. Copyright Fair Use Act (title 17, U.S. Code). Under Section 107 of the Copyright Act 1976, allowance is made for “fair use” for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing.
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Bio-Health Informatics GroupSchool of Computer Science
Our Approach
Sex and age are two important factors widely mis-reported
PubMed Query: ("Mice"[Mesh] AND (mouse[ti] OR mice[ti])) AND (Journal Article[ptyp] NOT Review[ptyp] AND ("1994/01/01"[PDAT] : "2014/12/31"[PDAT]) AND "animals"[MeSH Terms:noexp] AND English[lang]) AND pubmed pmc[sb]
Look for papers doing experiments on mice with full text open access articles
Use text-mining to look for sex and age reporting
Factor results according to disease and biological mechanism area
Do the metrics
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Bio-Health Informatics GroupSchool of Computer Science
Pie-chart (a) showing an overview of the reporting and non-reporting (none) of sex only, age, or both sex and age in a set of 15,311 studies published between 1994 and 2014 by stating the number and percentage of articles in each portion.
The chronological change of the reporting and non-reporting is displayed both in a stacked area plot (b) and a scatter plot after normalisation [per articles/year] (c).
Reporting sex and/or age in mouse-model experiments
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Bio-Health Informatics GroupSchool of Computer Science
Bar-chart (d) showing the number and percentage of articles reporting/not reporting of sex or age. The chronological change of the reporting and non-reporting of sex (e) is displayed in scatter plots after normalisation [per articles/year].
Reporting sex and/or age in mouse-model experiments
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Bio-Health Informatics GroupSchool of Computer Science
The distribution is presented in stacked bar charts that illustrate the percentage of the reporting and non-reporting of sex; stating the number of articles corresponding to each percentage inside the stacks.
Distribution of reporting of the sex in mouse model of a group of diseases
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Bio-Health Informatics GroupSchool of Computer Science
The reporting of sex was assessed for each disease by the topic of research whether genetics (a), immunology (b), physiopathology (c), or therapy (d).
This analysis was performed in the set of 14,225 articles published from 2001, when the US Institute of Medicine reported that sex matters in disease and therapy.
Distribution of reporting of the sex in mouse model of a group of diseases by research approach
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Bio-Health Informatics GroupSchool of Computer Science
The graph shows the reporting in particular diseases. All these diseases that are among the most frequently reported causes of death world-wide or commonly used models.
Distribution of reporting of the sex in mouse model of diseases
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Bio-Health Informatics GroupSchool of Computer Science
Why is reporting often poor?
Space allowed in papers The “expert” function Specificity of checklists Historic lack of awareness of the importance of some
factors Method as a second class citizen in reporting Editors: “A recent survey indicates that almost half of
journal editors who responded (n = 67) consider completeness of reporting to be one of the top three factors when making a publication decision. In the same survey, however, 18% of the editors who were interviewed perceived endorsement of a reporting guideline as burdensome” - Larissa Shamseer, Systematic Reviews 2012, 1:24.
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Bio-Health Informatics GroupSchool of Computer Science
Acknowledgements
Oscar Florez-Vargas did the majority of the work
Andy Brass and Robert Stevens supervise Oscar’s Ph.D.
Sheena Cruickshank collaborates on parasitology
Michael Bramhall works on parasite based mouse models of colitis
George Karystianis2, and Goran Nenadic collaborated on the text-mining
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Bio-Health Informatics GroupSchool of Computer Science
doi: 10.1371/journal.pone.0101131. eCollection 2014
doi: 10.1097/MIB.0000000000000369
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