Evidence map›Paper›PMID 21726668›Full record

ReviewComparative biochemistry and physiology. Toxicology & pharmacology : CBP2012

The challenges of implementing pathogen control strategies for fishes used in biomedical research.

Christian Lawrence, Don G Ennis, Claudia Harper, Michael L Kent, Katrina Murray, George E Sanders

Open access · greenAbstract readReview
In one paragraph

Review in Comparative biochemistry and physiology. Toxicology & pharmacology : CBP, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.5field-weighted citation impact, top 19% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 34 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Christian LawrenceAquatic Resources Program, Children's Hospital Boston, Boston, MA 02115, USA. clawrence@enders.tch.harvard.edu
Don G Ennis
Claudia Harper
Michael L Kent
Katrina Murray
George E Sanders
Boston Children's Hospital · USOregon State University · USUnited States Geological Survey · US

Funding

Control of Diseases in Zebrafish Research FacilitiesR24RR017386 · NCRR · OREGON STATE UNIVERSITY · PI KENT, MICHAEL LAWRENCE · 2003 to 2011
$1.8M
NCRR NIH HHS R24 RR017386
6 · The paper itself

Abstract

Over the past several decades, a number of fish species, including the zebrafish, medaka, and platyfish/swordtail, have become important models for human health and disease. Despite the increasing prevalence of these and other fish species in research, methods for health maintenance and the management of diseases in laboratory populations of these animals are underdeveloped. There is a growing realization that this trend must change, especially as the use of these species expands beyond developmental biology and more towards experimental applications where the presence of underlying disease may affect the physiology animals used in experiments and potentially compromise research results. Therefore, there is a critical need to develop, improve, and implement strategies for managing health and disease in aquatic research facilities. The purpose of this review is to report the proceedings of a workshop entitled "Animal Health and Disease Management in Research Animals" that was recently held at the 5th Aquatic Animal Models for Human Disease in September 2010 at Corvallis, Oregon to discuss the challenges involved with moving the field forward on this front.

Indexed as

Animal DiseasesAnimal FeedAnimalsAnimals, LaboratoryBiomedical ResearchFishesLaboratory Animal ScienceSpecific Pathogen-Free Organisms

Identifiers

PMID21726668
PMCPMC3338152
OpenAlexW2085335419

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.