Evidence map›Paper›PMID 17170607›Full record

ReviewJournal of clinical hypertension (Greenwich, Conn.)2006

Organ systems dependent on nitric oxide and the potential for nitric oxide-targeted therapies in related diseases.

Norman K Hollenberg

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of clinical hypertension (Greenwich, Conn.), 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Effect on health from consumption of meat and meat products.Journal of animal science and technology · 2021
    Review
  3. Review
  4. Flavanols, the Kuna, cocoa consumption, and nitric oxide.Journal of the American Society of Hypertension : JASH
    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.

Norman K HollenbergDepartment of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. djpagecapo@rics.bwh.harvard.edu
Brigham and Women's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nitric oxide (NO) is a universal messenger molecule that plays diverse and essential physiologic roles in multiple organ systems, including the vasculature, bone, muscle, heart, kidney, liver, and central nervous system. NO is produced by 3 known isoforms-endothelial, neuronal, and inducible NO synthase-each of which perform distinct functions. Impairment of NO bioactivity may be an important factor in the pathogenesis of a wide range of conditions, including preeclampsia, osteoporosis, nephropathy, liver disease, and neurodegenerative diseases. Although increased levels of NO synthase or NO bioactivity have been associated with some of these disease states, research increasingly suggests that preservation or promotion of normal NO bioactivity may be beneficial in reducing the risks and perhaps reversing the underlying pathophysiology. Based on this rationale, studies investigating the use of NO-donating or NO-promoting agents in some of these diseases have produced positive results, at least to some degree, in either animal or human studies. Further investigation of NO-targeted therapies in these diverse diseases is clearly mandated.

Indexed as

Alzheimer DiseaseAnimalsBone and BonesBrainChronic DiseaseFemaleHumansKidney DiseasesLiver DiseasesNeurodegenerative DiseasesNitric OxideOsteoporosisOxidative StressPre-EclampsiaPregnancyNitric Oxide

Identifiers

PMID17170607
PMCPMC8109608
OpenAlexW2077398880

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.