Evidence map›Paper›PMID 36980322›Full record

ReviewDiagnostics (Basel, Switzerland)2023

Antibiotic Resistance Diagnosis in ESKAPE Pathogens-A Review on Proteomic Perspective.

Sriram Kalpana, Wan-Ying Lin, Yu-Chiang Wang, Yiwen Fu, Amrutha Lakshmi, Hsin-Yao Wang

Full text readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Pooled it
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  12. Identification of Potential Inhibitors of Three NDM Variants ofCurrent computer-aided drug design · 2025
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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

6 authors.

Sriram KalpanaDepartment of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan 333423, Taiwan.
Wan-Ying LinSyu Kang Sport Clinic, Taipei 112053, Taiwan.
Yu-Chiang WangDepartment of Medicine, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0003-2821-5022
Yiwen FuDepartment of Medicine, Kaiser Permanente Santa Clara Medical Center, Santa Clara, CA 95051, USA.ORCID 0000-0002-9038-2086
Amrutha LakshmiDepartment of Biochemistry, University of Madras, Guindy Campus, Chennai 600025, India.
Hsin-Yao WangDepartment of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan 333423, Taiwan.ORCID 0000-0001-5581-6793

Funding

Linkou Chang Gung Memorial Hospital CMRPG3M0851, CMRPG3L1011Ministry of Science and Technology, Taiwan 111-2320-B-182A-002-MY2
6 · The paper itself

Abstract

Antibiotic resistance has emerged as an imminent pandemic. Rapid diagnostic assays distinguish bacterial infections from other diseases and aid antimicrobial stewardship, therapy optimization, and epidemiological surveillance. Traditional methods typically have longer turn-around times for definitive results. On the other hand, proteomic studies have progressed constantly and improved both in qualitative and quantitative analysis. With a wide range of data sets made available in the public domain, the ability to interpret the data has considerably reduced the error rates. This review gives an insight on state-of-the-art proteomic techniques in diagnosing antibiotic resistance in ESKAPE pathogens with a future outlook for evading the "imminent pandemic".

Indexed as

antibiotic resistancebacterial resistanceESKAPEMALDI-TOFmass spectrometryproteomics

Identifiers

PMID36980322
PMCPMC10047325

What OpenQuestion holds

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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.