Evidence map›Paper›PMID 20845083›Full record

ArticleAge (Dordrecht, Netherlands)2011

Age relationships of postmortem observations in Portuguese Water Dogs.

Kevin Chase, Dennis F Lawler, Lawrence D McGill, Shawn Miller, Mark Nielsen, Karl G Lark

Abstract read
In one paragraph

Article in Age (Dordrecht, Netherlands), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Polymorphisms in theCanine medicine and genetics · 2020
    Article
  2. Pathology of Gray Wolf Shoulders: Lessons in Species and Aging.Anatomical record (Hoboken, N.J. : 2007) · 2016
    Article
  3. Article
  4. Article
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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.

Kevin ChaseDepartment of Biology, University of Utah, 257 South 1400 E., Salt Lake City, UT 84112, USA.
Dennis F Lawler
Lawrence D McGill
Shawn Miller
Mark Nielsen
Karl G Lark

Funding

GENETIC ARCHITECTURE OF THE MAMMALIAN (CANID) SKELETONR01GM063056 · NIGMS · UNIVERSITY OF UTAH · PI LARK, KARL GORDON · 2002 to 2015
$4.2M
NIGMS NIH HHS GM063056NIGMS NIH HHS R01 GM063056
6 · The paper itself

Abstract

A dog model has been used to evaluate histological changes arising from senescence. Autopsies of 145 Portuguese Water Dogs have been used to evaluate the individual and group "state of health" at time of death. For each dog, weights or dimensions of organs or tissues were obtained, together with histological evaluation of tissues. Twenty-three morphological metrics correlated significantly to age at death. Many of these involved muscles; others were associated with derivatives of embryonic foregut. The latter included lengths of the small intestine and trachea as well as weights of the stomach and some lung lobes. Nearly all of the dogs examined had histological changes in multiple tissues, ranging from two to 12 per dog. Associations among pathologies included inflammatory bowel disease with osteoporosis and dental calculus/periodontitis with atherosclerosis and amyloidosis. In addition, two clusters of histological changes were correlated to aging: hyperplasia, frequency of adenomas, and hemosiderosis constituted one group; inflammation, plasmacytic and lymphocytic infiltration, fibrosis, and atrophy, another. Heritability analysis indicated that many of the changes in tissue/organ morphology or histology could be heritable and possibly associated with IGF1, but more autopsies will be required to substantiate these genetic relationships.

Indexed as

AgingAnimalsAnimal StructuresAutopsyDogsLongevityNeoplasms

Identifiers

PMID20845083
PMCPMC3168605

What OpenQuestion holds

Textmetadata
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.