Evidence map›Paper›PMID 10981152›Full record

ReviewCurrent hypertension reports2000

Strategy for uncovering complex determinants of hypertension using animal models.

G T Cicila

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current hypertension reports, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Vitamin B6: a molecule for human health?Molecules (Basel, Switzerland) · 2010
    Review
  2. Manipulating the mouse genome: approaches and applications.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
    Article
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

1 author at 1 institution in 1 country.

G T CicilaDepartment of Physiology and Molecular Medicine, Medical College of Ohio, Block Health Science Building, 3035 Arlington Avenue, Toledo, OH 43614, USA. gcicila@mco.edu
University of Toledo Medical Center · US

Funding

BLOOD PRESSURE CANDIDATE GENE SCREENING--A NEW PARADIGMR01HL062338 · NHLBI · UNIVERSITY OF TOLEDO HEALTH SCI CAMPUS · PI CICILA, GEORGE T · 1999 to 2001
$427k
NHLBI NIH HHS HL62338
6 · The paper itself

Abstract

Hypertension is a complex, multifactorial disorder resulting from the interaction of multiple genetic and environmental factors. While rodent models of hypertension have proved useful for identifying chromosomal regions containing blood pressure quantitative trait loci (QTLs), the gene(s) responsible for strain-differences in blood pressure remain to be identified. A strategy for identifying the genetic factors underlying blood pressure in animal models is presented, grouped according to the following themes: 1) choice of hypertension model, 2) identification of chromosomal regions containing QTLs, 3) confirming the presence of QTLs and delimiting the chromosomal region containing them, 4) developing a physical map of the QTL-containing region of the chromosome, 5) identification of strong candidate gene(s), and 6) requirements for proving that a gene is responsible, in part, for blood pressure differences.

Indexed as

Chromosome MappingDisease Models, AnimalAnimalsGenotypeHumansHypertensionMiceRatsRats, Inbred StrainsSequence Analysis, DNA

Identifiers

PMID10981152
OpenAlexW1991271439

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.