Evidence map›Paper›PMID 29882167›Full record

ReviewCurrent infectious disease reports2018

Improving Dengue Diagnostics and Management Through Innovative Technology.

Jesus Rodriguez-Manzano, Po Ying Chia, Tsin Wen Yeo, Alison Holmes, Pantelis Georgiou, Sophie Yacoub

Erratum issuedAbstract readReview
In one paragraph

Review in Current infectious disease reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  5. Article
  6. Observational
  7. Review
  8. Article
  9. Article
  10. Article
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  12. Article
  13. Continuous physiological monitoring using wearable technology to inform individual management of infectious diseases, public health and outbreak responses.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2020
    Review
  14. Development and Performance of Dengue Diagnostic Clinical Algorithms in Colombia.The American journal of tropical medicine and hygiene · 2020
    Article
  15. Article
  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Jesus Rodriguez-ManzanoCentre for Bio-inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London, UK.
Po Ying ChiaCommunicable Diseases Centre, Institute for Infectious Disease and Epidemiology, Tan Tock Seng Hospital, Singapore, Singapore.
Tsin Wen YeoCommunicable Diseases Centre, Institute for Infectious Disease and Epidemiology, Tan Tock Seng Hospital, Singapore, Singapore.
Alison HolmesDepartment of Medicine, Imperial College London, London, UK.
Pantelis GeorgiouCentre for Bio-inspired Technology, Department of Electrical and Electronic Engineering, Imperial College London, London, UK.
Sophie YacoubDepartment of Medicine, Imperial College London, London, UK. syacoub@oucru.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewDengue continues to be a major global public health threat. Symptomatic infections can cause a spectrum of disease ranging from a mild febrile illness to severe and potentially life-threatening manifestations. Management relies on supportive treatment with careful fluid replacement. The purpose of this review is to define the unmet needs and challenges in current dengue diagnostics and patient monitoring and outline potential novel technologies to address these needs. RECENT

findingsThere have been recent advances in molecular and point-of-care (POC) diagnostics as well as technologies including wireless communication, low-power microelectronics, and wearable sensors that have opened up new possibilities for management, clinical monitoring, and real-time surveillance of dengue. Novel platforms utilizing innovative technologies for POC dengue diagnostics and wearable patient monitors have the potential to revolutionize dengue surveillance, outbreak response, and management at population and individual levels. Validation studies of these technologies are urgently required in dengue-endemic areas.

Indexed as

Dengue diagnosticsManagementNovel technologyPoint-of-careSensorsWearables

Identifiers

PMID29882167
PMCPMC5992235

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.