Evidence map›Paper›PMID 35204505›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Investigating Unfavorable Factors That Impede MALDI-TOF-Based AI in Predicting Antibiotic Resistance.

Hsin-Yao Wang, Yu-Hsin Liu, Yi-Ju Tseng, Chia-Ru Chung, Ting-Wei Lin, Jia-Ruei Yu, Yhu-Chering Huang, Jang-Jih Lu

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 34% 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, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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 5 institutions in 1 country.

Hsin-Yao WangDepartment of Laboratory Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan City 333423, Taiwan.ORCID 0000-0001-5581-6793
Yu-Hsin LiuDepartment of Anesthesiology, Chang Gung Memorial Hospital at Linkou, Taoyuan City 333423, Taiwan.
Yi-Ju TsengDepartment of Computer Science, National Yang Ming Chiao Tung University, Hsinchu 300093, Taiwan.ORCID 0000-0002-1814-5553
Chia-Ru ChungDepartment of Computer Science and Information Engineering, National Central University, Taoyuan City 320317, Taiwan.ORCID 0000-0002-4548-7620
Ting-Wei LinDepartment of Laboratory Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan City 333423, Taiwan.
Jia-Ruei YuDepartment of Laboratory Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan City 333423, Taiwan.
Yhu-Chering HuangDivision of Pediatric Infectious Diseases, Department of Pediatrics, Chang Gung Memorial Hospital, Taoyuan City 333423, Taiwan.
Jang-Jih LuDepartment of Laboratory Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan City 333423, Taiwan.
Chang Gung Memorial Hospital · TWChang Gung University · TWLinkou Chang Gung Memorial Hospital · TWNational Central University · TWNational Yang Ming Chiao Tung University · TW

Funding

Chang Gung Memorial Hospital CMRPG3L0401Chang Gung Memorial Hospital CMRPG3L0431Chang Gung Memorial Hospital CMRPG3L1011
6 · The paper itself

Abstract

The combination of Matrix-Assisted Laser Desorption/Ionization Time-of-Flight (MALDI-TOF) spectra data and artificial intelligence (AI) has been introduced for rapid prediction on antibiotic susceptibility testing (AST) of

Indexed as

antibiotic susceptibility testartificial intelligencematrix-assisted laser desorption/ionization time-of-flightmethicillin-resistant Staphylococcus aureus

Identifiers

PMID35204505
PMCPMC8871102
OpenAlexW4210765907

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.