Evidence map›Paper›PMID 27775039›Full record

ArticleScientific reports2016

Microchip-based ultrafast serodiagnostic assay for tuberculosis.

Vigneshwaran Mani, Bhairav Paleja, Karima Larbi, Pavanish Kumar, Jo Ann Tay, Jie Yee Siew, Fatih Inci, ShuQi Wang, Cynthia Chee, Yee Tang Wang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Review
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  4. Review
  5. Article
  6. A systematic review of potential screening biomarkers for active TB disease.Journal of clinical tuberculosis and other mycobacterial diseases · 2021
    Review
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  8. Article
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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

13 authors at 5 institutions in 4 countries.

Vigneshwaran ManiSingapore Immunology Network, Agency for Science, Technology and Research (A*STAR), Singapore.
Bhairav PalejaSingapore Immunology Network, Agency for Science, Technology and Research (A*STAR), Singapore.
Karima LarbiSingapore Immunology Network, Agency for Science, Technology and Research (A*STAR), Singapore.
Pavanish KumarSingapore Immunology Network, Agency for Science, Technology and Research (A*STAR), Singapore.
Jo Ann TaySingapore Immunology Network, Agency for Science, Technology and Research (A*STAR), Singapore.
Jie Yee SiewSingapore Immunology Network, Agency for Science, Technology and Research (A*STAR), Singapore.
Fatih InciDemirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Stanford University School of Medicine, Department of Radiology, Canary Center at Stanford for Cancer Early Detection, Palo Alto, California, USA.
ShuQi WangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affliliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Cynthia CheeTuberculosis Control Unit (TBCU), Tan Tock Seng Hospital, Singapore.
Yee Tang WangTuberculosis Control Unit (TBCU), Tan Tock Seng Hospital, Singapore.
Utkan DemirciDemirci Bio-Acoustic-MEMS in Medicine (BAMM) Laboratory, Stanford University School of Medicine, Department of Radiology, Canary Center at Stanford for Cancer Early Detection, Palo Alto, California, USA.
Gennaro De LiberoSingapore Immunology Network, Agency for Science, Technology and Research (A*STAR), Singapore.
Amit SinghalSingapore Immunology Network, Agency for Science, Technology and Research (A*STAR), Singapore.
Singapore Immunology Network · SGAgency for Science, Technology and Research · SGStanford University · USTan Tock Seng Hospital · SGState Key Laboratory of Diagnosis and Treatment of Infectious Diseases

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Access to point-of-care (POC), rapid, inexpensive, sensitive, and instrument-free tests for the diagnosis of tuberculosis (TB) remains a major challenge. Here, we report a simple and low-cost microchip-based TB ELISA (MTBE) platform for the detection of anti-mycobacterial IgG in plasma samples in less than 15 minutes. The MTBE employs a flow-less, magnet-actuated, bead-based ELISA for simultaneous detection of IgG responses against multiple mycobacterial antigens. Anti-trehalose 6,6'-dimycolate (TDM) IgG responses were the strongest predictor for differentiating active tuberculosis (ATB) from healthy controls (HC) and latent tuberculosis infections (LTBI). The TDM-based MTBE demonstrated superior sensitivity compared to sputum microscopy (72% vs. 56%) with 80% and 63% positivity among smear-positive and smear-negative confirmed ATB samples, respectively. Receiver operating characteristic analysis indicated good accuracy for differentiating ATB from HC (AUC = 0.77). Thus, TDM-based MTBE can be potentially used as a screening device for rapid diagnosis of active TB at the POC.

Identifiers

PMID27775039
PMCPMC5075771
OpenAlexW2535643169

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.