Evidence map›Paper›PMID 29331964›Full record

ArticleBMJ open2018

What are the characteristics of vitamin D metabolism in opioid dependence? An exploratory longitudinal study in Australian primary care.

Albert Stuart Reece, Gary Kenneth Hulse

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMJ open, 2018. 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
0.2field-weighted citation impact, top 50% 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, 4 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 1 institution in 1 country.

Albert Stuart ReeceDepartment of Psychiatry and Clinical Neurosciences, University of Western Australia, Brisbane, Queensland, Australia.ORCID MBBS(Hons.),FRCS(Ed.),FRCS(Glas.),FRACGP,MD(UNSW).
Gary Kenneth HulseDepartment of Psychiatry and Clinical Neurosciences, University of Western Australia, Perth, Queensland, Australia.ORCID Ph.D,Ph.D
University of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCompare vitamin D levels in opioid dependence and control population and adjust for relevant confounding effects. Nuclear hormone receptors (including the vitamin D receptor) have been shown to be key transducers and regulators of intracellular metabolism and comprise an important site of pathophysiological immune and metabolic dysregulation potentially contributing towards pro-ageing changes observed in opioid-dependent patients (ODPs).

designLongitudinal prospective comparing ODPs with general medical controls (GMCs).

settingPrimary care.

participantsProspective review comparing 1168 ODP (72.5% men) and 415 GMC (51.6% men, p<0.0001). Mean ages were 33.92±0.31 (mean±SEM) and 41.22±1.32 years, respectively (p<0.0001). Opioid use in the ODP has been previously reported and shown to be typical.

interventionsNil. Observational study only. PRIMARY AND SECONDARY OUTCOMES: Serum vitamin D levels and relevant biochemical parameters.

resultsVitamin D levels were higher in the ODP (70.35±1.16 and 57.06±1.81 nmol/L, p<0.0001). The difference in ages between the two groups was handled in an age-matched case

conclusionVitamin D was higher in ODP in both sexes in bivariate, cross-sectional, case

Indexed as

Analgesics, OpioidAdultAge FactorsAlanine TransaminaseAustraliaCase-Control StudiesCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleOpioid-Related DisordersPrimary Health CareProspective StudiesVitamin DVitaminsAlanine TransaminaseAnalgesics, OpioidVitamin DVitaminsageingbiomarkerheroinopioid dependencevitamin D

Identifiers

PMID29331964
PMCPMC5780717
OpenAlexW2785672891

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.