Evidence map›Paper›PMID 40191453›Full record

Review3 Biotech2025

Analytical techniques and molecular platforms for detection and surveillance of antimicrobial resistance: advancements of the past decade.

Abhinandan Patnaik, Sharad Kumar Rai, Ram Kumar Dhaked

Abstract readReview
In one paragraph

Review in 3 Biotech, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Abhinandan PatnaikBiotechnology Division, Defence Research and Development Establishment, Jhansi Road, Gwalior, 474002 MP India.
Sharad Kumar RaiBiotechnology Division, Defence Research and Development Establishment, Jhansi Road, Gwalior, 474002 MP India.
Ram Kumar DhakedBiotechnology Division, Defence Research and Development Establishment, Jhansi Road, Gwalior, 474002 MP India.ORCID 0000-0003-3106-9994

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing countries have been able to control and minimise the mortality rates caused by pathogenic infections by ensuring affordable access to antibiotics. However, a large number of bacterial ailments are treated with wrong antibiotic prescription due to improper disease diagnosis. Apart from healthcare, antibiotics are also imprudently utilised in crop processing and animal husbandry. This unsupervised usage of antibiotics has propelled the generation of multidrug-resistant species of bacteria. Presently, several traditional antimicrobial susceptibility/resistance tests (AST/ART) are available; however, the accuracy and reproducibility of these tests are often debatable. Rigorous efforts are essential to develop techniques and methods which substantially decrease turnaround time for resistance screening. The present review has comprehensively incorporated the improvements in instrumentation and molecular methods for antimicrobial resistance studies. We have enlisted some innovative takes on conventional techniques such as isothermal calorimetry, Raman spectroscopy, mass spectrometry and microscopy. The contributions of modern molecular tools such as CRISPR-Cas, aptamers and Oxford-MinION sequencers have also been discussed. Persistent evolution has been observed towards adding innovation in diagnostic platforms for drug resistome screening, with the major attraction being the involvement of non-conventional analytical methods and technological improvements in existing setups. This review highlights these updates and provides a detailed account of principal developments in molecular methods for the testing of drug resistance in bacteria.

Indexed as

Antimicrobial resistanceDiagnosticsMultidrug resistancePathogens

Identifiers

PMID40191453
PMCPMC11965067

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.