ReviewMicroorganisms2026
Algorithmic Determinants of Performance Heterogeneity in Whole-Genome Sequencing-Based Prediction of Drug Resistance in
Baozhen Peng, Yang Zhou, Xiangchen Li, Huihui Liu, Bing Zhao, Ping Hou, Xichao Ou, Yanlin Zhao
Abstract readReview
In one paragraphReview in Microorganisms, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
8 authors.
Baozhen PengNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing 102206, China.
Yang ZhouNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing 102206, China.
Xiangchen LiCosmos Wisdom Mass Spectrometry Center, Zhejiang University Medical School, Hangzhou 310058, China.
Huihui LiuChinese Field Epidemiology Training Program, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing 100050, China.
Bing ZhaoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing 102206, China.
Ping HouTuberculosis Reference Laboratory, Hainan Provincial Center for Disease Control and Prevention, Haikou 570203, China.
Xichao OuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing 102206, China.ORCID 0000-0002-3126-4450 Yanlin ZhaoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention & Chinese Academy of Preventive Medicine, Beijing 102206, China.ORCID 0000-0002-7890-4312 Funding
Hainan Health Science and Technology Innovation Collaborative Project WSJK2024MS191National Key Research and Development Program of China 2023YFC2307301Prevention and Control of Emerging and Major Infectious Disease-National Science and Technology Major Project 2025ZD01901005
6 · The paper itselfAbstract
Whole-genome sequencing (WGS) is an increasingly adopted platform for predicting drug resistance in
Indexed as
bioinformatic toolsdiagnostic accuracydrug resistance predictionmachine learningmeta-analysisMycobacterium tuberculosisphenotypic drug susceptibility testingwhole-genome sequencing
Identifiers
PMID42655168
PMCPMC13515934
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