Evidence map›Paper›PMID 26488011›Full record

ArticleAnnals of translational medicine2015

Rapid infectious diseases diagnostics using Smartphones.

Matthew Bates, Alimuddin Zumla

Abstract read
In one paragraph

Article in Annals of translational medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Human-Device Interaction in the Life Science Laboratory.Advances in biochemical engineering/biotechnology · 2022
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Current Trends of Nanobiosensors for Point-of-Care Diagnostics.Journal of analytical methods in chemistry · 2019
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Optical visualization and quantification of enzyme activity using dynamic droplet lenses.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  15. Review
  16. Article
  17. 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.

Matthew Bates1 Department of Paediatrics, UNZA-UCLMS Research and Training Programme, University Teaching Hospital, Lusaka, Zambia ; 2 Division of Infection and Immunity, Centre for Clinical Microbiology, University College London, London, UK ; 3 NIHR Biomedical Research Centre, UCL Hospitals, London, UK.
Alimuddin Zumla1 Department of Paediatrics, UNZA-UCLMS Research and Training Programme, University Teaching Hospital, Lusaka, Zambia ; 2 Division of Infection and Immunity, Centre for Clinical Microbiology, University College London, London, UK ; 3 NIHR Biomedical Research Centre, UCL Hospitals, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The "Smartphone" is an almost universal possession in high-income populations, and is rapidly becoming so in lower-income regions, particularly among urban populations, and serves social networking and a quest for information and knowledge. The field of infectious disease diagnostics is at a potential watershed moment, with the essential building blocks for the development of diagnostic assays being ever more available and affordable, which is leading to creative innovative approaches to developing much-needed accurate and simple point-of-care (POC) diagnostic tools for high disease burden, low-income settings. We review the importance and implications of a paper published in Science Translational Medicine on the development of a smartphone-powered and -controlled multiplex immunological assay that tests for HIV and syphilis simultaneously. This is reviewed in the context of other prototype smartphone-enabled/assisted diagnostic devices, and how such developments might shape the future of the POC diagnostics field.

Indexed as

diagnosisdiagnosticshelminthHIVmicroscopepoint-of-care (POC)polymerase chain reaction (PCR)SmartphoneTB

Identifiers

PMID26488011
PMCPMC4583588

What OpenQuestion holds

Textmetadata
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.