Evidence map›Paper›PMID 28680512›Full record

ArticleWorld journal of emergency medicine2017

The presenting and prescribing patterns of migraine in an Australian emergency department: A descriptive exploratory study.

Emily Shao, James Hughes, Rob Eley

Abstract read
In one paragraph

Article in World journal of emergency medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. An Updated List of Neuromedicinal Plants of Pakistan, Their Uses, and Phytochemistry.Evidence-based complementary and alternative medicine : eCAM · 2019
    Review
  8. The Role of Genetic Polymorphisms in Chronic Pain Patients.International journal of molecular sciences · 2018
    Review
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.

Emily ShaoRoyal Brisbane and Women's Hospital, Brisbane, Australia.
James HughesEmergency Department, Princess Alexandra Hospital, Brisbane, Australia.
Rob EleyEmergency Department, Princess Alexandra Hospital, Brisbane, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMigraine is a common neurological condition that frequently presents to the emergency department (ED). Many medications are available to treat migraine. This study aims to characterize the demographics of patients who present to a large metropolitan ED with migraine, and to identify the medications used in treating this condition.

methodsThis study is a retrospective database interrogation of clinical records, used to collect quantitative data on patient demographics and medication prescriptions in the ED.

resultsA total of 2 228 patients were identified as being treated for migraine over a 10-year period. The proportion of the ED population presenting with migraine steadily increased in this time. Females (71%) more commonly presented to the ED with migraine than males. The migraine population was significantly younger (

conclusionMigraine is an increasingly common presentation to the ED. People presenting to the ED with migraine are more likely to be younger and female than the general ED population. Peak presentations for migraines occurred in January and February. The medications that are prescribed in the ED for migraine is varied and are not always in line with current evidence for the treatment of migraine. The excessive reliance on opiates and lack of the use of triptans denotes a significant variation from published guidelines.

Indexed as

AnalgesiaEmergency departmentHeadacheMigrainePain

Identifiers

PMID28680512
PMCPMC5496823

What OpenQuestion holds

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Registered trials

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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.