Evidence map›Paper›PMID 38267434›Full record

ArticleNature communications2024

Rapid and visual identification of β-lactamase subtypes for precision antibiotic therapy.

Wenshuai Li, Jingqi Li, Hua Xu, Hongmei Gao, Dingbin Liu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
8.4field-weighted citation impact, top 2% 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

3 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Metabolism-Based Biomarkers for Rapid Phenotypic Antibiotic Susceptibility Testing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. 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

5 authors at 1 institution in 1 country.

Wenshuai LiState Key Laboratory of Medicinal Chemical Biology, Frontiers Science Centers for Cell Responses and New Organic Matter, College of Chemistry, Nankai University, Tianjin, 300071, China.
Jingqi LiState Key Laboratory of Medicinal Chemical Biology, Frontiers Science Centers for Cell Responses and New Organic Matter, College of Chemistry, Nankai University, Tianjin, 300071, China.
Hua XuDepartment of Intensive Care Unit, Key Laboratory for Critical Care Medicine of the Ministry of Health, Emergency Medicine Research Institute, Tianjin First Center Hospital, School of Medicine, Nankai University, Tianjin, 300071, China.
Hongmei GaoDepartment of Intensive Care Unit, Key Laboratory for Critical Care Medicine of the Ministry of Health, Emergency Medicine Research Institute, Tianjin First Center Hospital, School of Medicine, Nankai University, Tianjin, 300071, China.
Dingbin LiuState Key Laboratory of Medicinal Chemical Biology, Frontiers Science Centers for Cell Responses and New Organic Matter, College of Chemistry, Nankai University, Tianjin, 300071, China. liudb@nankai.edu.cn.ORCID 0000-0003-4153-9822
Nankai University · CN

Funding

National Natural Science Foundation of China (National Science Foundation of China) 21977053
6 · The paper itself

Abstract

The abuse of antibiotics urgently requires rapid identification of drug-resistant bacteria at the point of care (POC). Here we report a visual paper sensor that allows rapid (0.25-3 h) discrimination of the subtypes of β-lactamase (the major cause of bacterial resistance) for precision antibiotic therapy. The sensor exhibits high performance in identifying antibiotic-resistant bacteria with 100 real samples from patients with diverse bacterial infections, demonstrating 100% clinical sensitivity and specificity. Further, this sensor can enhance the accuracy of antibiotic use from 48% empirically to 83%, and further from 50.6% to 97.6% after eliminating fungal infection cases. Our work provides a POC testing platform for guiding effective management of bacterial infections in both hospital and community settings.

Indexed as

Bacterial Infectionsbeta-LactamasesAnti-Bacterial AgentsHospitalsHumansPoint-of-Care SystemsAnti-Bacterial Agentsbeta-Lactamases

Identifiers

PMID38267434
PMCPMC10808423
OpenAlexW4391160398

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.