Evidence map›Paper›PMID 31540408›Full record

ArticlePharmacy (Basel, Switzerland)2019

The Use of Primary Care Electronic Health Records for Research: Lipid Medications and Mortality in Elderly Patients.

Adam J Hodgkins, Judy Mullan, Darren Mayne, Andrew Bonney

Open access · goldAbstract read
In one paragraph

Article in Pharmacy (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 85% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Adam J HodgkinsGraduate Medicine, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong 2522, Australia. adam@hodgkins.com.au.ORCID 0000-0002-2535-2673
Judy MullanGraduate Medicine, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong 2522, Australia. jmullan@uow.edu.au.
Darren MayneGraduate Medicine, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong 2522, Australia. darren.mayne@health.nsw.gov.au.ORCID 0000-0002-9370-3463
Andrew BonneyGraduate Medicine, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong 2522, Australia. abonney@uow.edu.au.
University of Wollongong · AUThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

General practice electronic health record (EHR) data have significant potential for clinical research. This study demonstrates the feasibility of utilising longitudinal EHR data analysis to address clinically relevant outcomes and uses the relationship between lipid medication prescription and all-cause mortality in the elderly as an exemplar for the validity of this methodology. EHR data were analysed to describe the association of lipid medication use, non-use or cessation with all-cause mortality in patients aged ≥75 years. Survival analysis with Cox regression was used to calculate hazard ratios, which were adjusted for confounders. There was no significant difference in all-cause mortality among patients according to their use, non-use, or cessation of lipid medications. The outcomes of this study correlate well with the results of other research works. This single-practice study demonstrates the feasibility and potential of analysing EHR data to address important clinical issues such as the relationship between all-cause mortality and lipid medication prescription in the elderly.

Indexed as

agedaged 80 and overelectronic health recordsfamily practicehypolipidemic agentssurvival analysis

Identifiers

PMID31540408
PMCPMC6789657
OpenAlexW2973517645

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.