Evidence map›Paper›PMID 28785963›Full record

ArticleThe journal of headache and pain2017

Lifting the burden of headache in China: managing migraine in a SMART way.

Shengyuan Yu, Timothy J Steiner

Open access · goldAbstract readLetter
In one paragraph

Article in The journal of headache and pain, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Health equity, care access and quality in headache - part 2.The journal of headache and pain · 2023
    Review
  4. Article
  5. Article
  6. Review
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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

2 authors at 2 institutions in 3 countries.

Shengyuan YuDepartment of Neurology, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China. yusy1963@126.com.
Timothy J SteinerDepartment of Neuroscience, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Chinese PLA General Hospital · CNNorwegian University of Science and Technology · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With support from Lifting The Burden , a UK-registered charitable organization, a nationwide survey of headache disorders in the Chinese adult population was conducted in 2008-2009. This project, which was within the Global Campaign against Headache, showed that headache disorders have a major adverse impact on public health in China. Subsequently, as essential support for implementing headache services around the country, an enactment of stage 3 (intervention) of the Global Campaign against Headache - the continuing medical education (CME) program Headache Schools - was established. 'SMART' (Screen, Migraine, Aura, Red flag and Treatment), a systematic and operational disease management model, was introduced with the aims of enhancing neurologists' knowledge of migraine, standardizing their diagnostic and treatment approaches, and improving their practices and outcomes. To date, 615 neurologists have been trained and 135 headache clinics have been established. In future, as we promote SMART in CME, we can use the database of our computerized clinical decision support systems to evaluate the impact on treatment outcomes.

Indexed as

Health Knowledge, Attitudes, PracticeChinaEducation, Medical, ContinuingHumansMigraine DisordersNeurologyChinaContinuing medical educationGlobal campaign against headacheHeadache schoolsLifting the burdenMigraineSmart

Identifiers

PMID28785963
PMCPMC5547011
OpenAlexW2744523856

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.