Evidence map›Paper›PMID 27680330›Full record

ReviewNeurologia medico-chirurgica2016

Status and Future Perspectives of Utilizing Big Data in Neurosurgical and Stroke Research.

Ataru Nishimura, Kunihiro Nishimura, Akiko Kada, Koji Iihara, J-ASPECT Study GROUP

Abstract readReview
In one paragraph

Review in Neurologia medico-chirurgica, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Proactive outcome monitoring and standardisation of physiotherapy stroke rehabilitation - A retrospective functional outcomes analysis of Accelerated Stroke Ambulation Programme (ASAP).Hong Kong physiotherapy journal : official publication of the Hong Kong Physiotherapy Association Limited = Wu li chih liao · 2023
    Article
  2. Registry Studies of Stroke in Japan.Journal of atherosclerosis and thrombosis · 2023
    Article
  3. Review
  4. Article
  5. Article
  6. Impact of industry 4.0 to create advancements in orthopaedics.Journal of clinical orthopaedics and trauma · 2020
    Article
  7. Article
  8. Article
  9. 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

5 authors.

Ataru NishimuraDepartment of Neurosurgery, Graduate School of Medical Sciences, Kyushu University.
Kunihiro Nishimura
Akiko Kada
Koji Iihara
J-ASPECT Study GROUP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The management, analysis, and integration of Big Data have received increasing attention in healthcare research as well as in medical bioinformatics. The J-ASPECT study is the first nationwide survey in Japan on the real-world setting of stroke care using data obtained from the diagnosis procedure combination-based payment system. The J-ASPECT study demonstrated a significant association between comprehensive stroke care (CSC) capacity and the hospital volume of stroke interventions in Japan; further, it showed that CSC capabilities were associated with reduced in-hospital mortality rates. Our study aims to create new evidence and insight from 'real world' neurosurgical practice and stroke care in Japan using Big Data. The final aim of this study is to develop effective methods to bridge the evidence-practice gap in acute stroke healthcare. In this study, the authors describe the status and future perspectives of the development of a new method of stroke registry as a powerful tool for acute stroke care research.

Indexed as

Biomedical ResearchDatabases as TopicData MiningNeurosurgical ProceduresRegistriesStrokeHumansJapan

Identifiers

PMID27680330
PMCPMC5221776

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.