Evidence map›Paper›PMID 32644060›Full record

ReviewLab on a chip2020

Current state of the art in rapid diagnostics for antimicrobial resistance.

Rathina Kumar Shanmugakani, Balaji Srinivasan, Marshall J Glesby, Lars F Westblade, Washington B Cárdenas, Tony Raj, David Erickson, Saurabh Mehta

Open access · greenAbstract readReview
In one paragraph

Review in Lab on a chip, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
5.3field-weighted citation impact, top 3% 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

39 citing papers in PubMed, 70 citations in OpenAlex.

  1. Article
  2. Review
  3. Reducing time-to-result in bloodstream infections: comparative evaluation of VITEK® REVEAL™ and QuickMIC® for rapid phenotypic antimicrobial susceptibility testing.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Mass of components and material distribution in lateral flow assay kits.Bulletin of the World Health Organization · 2025
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. New Agents Are Coming, and So Is the Resistance.Antibiotics (Basel, Switzerland) · 2024
    Review
  19. Review
  20. 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

8 authors at 3 institutions in 4 countries.

Rathina Kumar ShanmugakaniInstitute for Nutritional Sciences, Global Health, and Technology, Cornell University, Ithaca, New York, USA. de54@cornell.edu smehta@cornell.edu.
Balaji Srinivasan
Marshall J Glesby
Lars F Westblade
Washington B Cárdenas
Tony Raj
David Erickson
Saurabh Mehta
Cornell University · USEscuela Superior Politecnica del Litoral · ECSt. John's University · US

Funding

Disparities in COVID Disease Severity and Outcomes in New York CityUL1TR002384 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI JULIANNE L IMPERATO-MCGINLEY · 2017 to 2026
$86.2M
Early Stage Diagnosis of Kaposi's Sarcoma in Limited Resource Settings using KS-DetectUH3CA202723 · NCI · CORNELL UNIVERSITY · PI ERICKSON, DAVID CARL, MARTIN, JEFFREY N · 2018 to 2021
$3.2M
FeverPhone: Point of Care Diagnosis of Acute Febrile Illness using a Mobile DeviceR01EB021331 · NIBIB · CORNELL UNIVERSITY · PI ERICKSON, DAVID CARL, MEHTA, SAURABH · 2016 to 2020
$3.0M
NCATS NIH HHS UL1 TR002384NCI NIH HHS UH3 CA202723NIBIB NIH HHS R01 EB021331
6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is a fundamental global concern analogous to climate change threatening both public health and global development progress. Infections caused by antimicrobial-resistant pathogens pose serious threats to healthcare and human capital. If the increasing rate of AMR is left uncontrolled, it is estimated that it will lead to 10 million deaths annually by 2050. This global epidemic of AMR necessitates radical interdisciplinary solutions to better detect antimicrobial susceptibility and manage infections. Rapid diagnostics that can identify antimicrobial-resistant pathogens to assist clinicians and health workers in initiating appropriate treatment are critical for antimicrobial stewardship. In this review, we summarize different technologies applied for the development of rapid diagnostics for AMR and antimicrobial susceptibility testing (AST). We briefly describe the single-cell technologies that were developed to hasten the AST of infectious pathogens. Then, the different types of genotypic and phenotypic techniques and the commercially available rapid diagnostics for AMR are discussed in detail. We conclude by addressing the potential of current rapid diagnostic systems being developed as point-of-care (POC) diagnostic tools and the challenges to adapt them at the POC level. Overall, this review provides an insight into the current status of rapid and POC diagnostic systems for AMR.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialHumansMicrobial Sensitivity TestsPoint-of-Care SystemsAnti-Bacterial Agents

Identifiers

PMID32644060
PMCPMC7428068
OpenAlexW3038611504

What OpenQuestion holds

Textmetadata
LicenceTDM
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.