Evidence map›Paper›PMID 31272504›Full record

ArticleBMC public health2019

Bibliometric analysis of cardiometabolic disorders studies involving NO

Yu-Kai Huang, Rosie Hanneke, Rachael M Jones

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2019. 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
0.9field-weighted citation impact, top 28% 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, 18 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

3 authors at 2 institutions in 1 country.

Yu-Kai HuangSchool of Public Health, University of Illinois at Chicago, Chicago, USA.
Rosie HannekeLibrary of the Health Sciences, University of Illinois at Chicago, Chicago, USA.
Rachael M JonesSchool of Public Health, University of Illinois at Chicago, Chicago, USA. rachael.jones@utah.edu.ORCID http://orcid.org/0000-0003-1611-7900
University of Illinois Chicago · USChicago Department of Public Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study uses bibliometric analysis to describe the state of research about the association of NO

methodsWe retrieved references published 1994-2017 from Scopus and classified references with respect to exposure, health outcome and study design using index keywords. Temporal trend, top cited references, used index keywords and the number of hypothesis testing and non-hypothesis testing study design for each group were identified.

resultsResults show PM

conclusionsWe conclude with three themes about research trends. First, the study of simultaneous exposures to multiple pollutants is a current trend, and likely to continue. Second, the association between traffic-related pollutants and diabetes and metabolic symptoms is an area for growth in research. Third, the transition to the use of H-testing study designs to explore associations between noise and cardiometabolic outcomes may be supported by improved understanding of the mechanism of action, and/or improvements to the accuracy and precision of air pollution and noise exposure assessments for environmental health research.

Indexed as

BibliometricsCardiovascular DiseasesDiabetes MellitusHumansMetabolic DiseasesNitrogen DioxideNoiseParticulate MatterVehicle EmissionsNitrogen DioxideParticulate MatterVehicle EmissionsBibliometricCardiometabolic disordersCardiovascular diseaseDiabetesExposuresFine particulate matterMultipleNitrogen dioxideNoisePM2.5Study design

Identifiers

PMID31272504
PMCPMC6610906
OpenAlexW2956116782

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.