ArticleVeterinary pathology2009
A data-capture tool for mouse pathology phenotyping.
Article in Veterinary pathology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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
15 citing papers in PubMed.
- A Review of Current Standards and the Evolution of Histopathology Nomenclature for Laboratory Animals.ILAR journal · 2018Article
- Training mouse pathologists: 16Lab animal · 2018Article
- Training mouse pathologists: 15 years of workshops on the pathology of mouse models of human disease.Lab animal · 2017Article
- Approaches to Investigating Complex Genetic Traits in a Large-Scale Inbred Mouse Aging Study.Veterinary pathology · 2016Article
- The Vital Role of Pathology in Improving Reproducibility and Translational Relevance of Aging Studies in Rodents.Veterinary pathology · 2016Article
- Genetic determinants of fibro-osseous lesions in aged inbred mice.Experimental and molecular pathology · 2016Article
- Skin Diseases in Laboratory Mice: Approaches to Drug Target Identification and Efficacy Screening.Methods in molecular biology (Clifton, N.J.) · 2016Article
- Phenotypic characterization of the KK/HlJ inbred mouse strain.Veterinary pathology · 2014Article
- Training pathologists in mouse pathology.Veterinary pathology · 2012Article
- Identification of fat4 and tsc22d1 as novel candidate genes for spontaneous pulmonary adenomas.Cancer research · 2011Article
- The mouse as a model for understanding chronic diseases of aging: the histopathologic basis of aging in inbred mice.Pathobiology of aging & age related diseases · 2011Article
- Commentary: mouse genetic nomenclature. Standardization of strain, gene, and protein symbols.Veterinary pathology · 2010Article
- Pathbase and the MPATH ontology. Community resources for mouse histopathology.Veterinary pathology · 2010Article
- Where's the mouse info?Veterinary pathology · 2009Article
- A mouse by any other name ...The Journal of investigative dermatology · 2009Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The Mouse Disease Information System is a free Microsoft Access database (http://research.jax.org/faculty/sundberg/index.html) designed by veterinary pathologists to aid veterinary pathologists in data acquisition, analysis, and coordination of tissue-sample archives. Linking the system to the Mouse Anatomy and Mouse Pathology Ontologies provides controlled vocabulary (and spelling) for organ, tissue, and diagnosis. Severity scores provide a quantitative assessment of all lesions to enable quantitative trait locus analysis for large-scale studies. Individual diagnoses can be verified for their definition by online linkage to Pathbase.net. Histologic images can be accessed from Pathbase by using the Mouse Pathology Ontology directly for comparison with slides being viewed at the time of data entry and providing the user with a reference and a "virtual second opinion."
Indexed as
Identifiers
What 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.