Evidence map›Paper›PMID 38355463›Full record

ArticleBMC medical education2024

A training program for improving the capacity of infection high-throughput sequencing and diagnosis in China.

Dong Zhang, Yunfeng Cheng, Yuan Ji, Qing Miao, Bojiang Chen, Jing Wang, Guoqiu Wu, Chenyan Yuan, Guangjuan Zheng, Han Liu and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

20 authors.

Dong ZhangDepartment of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Yunfeng ChengZhongshan Hospital, Fudan University, 180 Fenglin Rd, 200032, Shanghai, China.
Yuan JiZhongshan Hospital, Fudan University, 180 Fenglin Rd, 200032, Shanghai, China.
Qing MiaoZhongshan Hospital, Fudan University, 180 Fenglin Rd, 200032, Shanghai, China.
Bojiang ChenPrecision Medicine Center, Precision Medicine Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, 610041, Chengdu, China.
Jing WangPrecision Medicine Center, Precision Medicine Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, 610041, Chengdu, China.
Guoqiu WuCenter of Clinical Laboratory Medicine, Zhongda Hospital, Southeast University, 210009, Nanjing, Jiangsu, China.
Chenyan YuanCenter of Clinical Laboratory Medicine, Zhongda Hospital, Southeast University, 210009, Nanjing, Jiangsu, China.
Guangjuan ZhengGenetic Testing Lab, The Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
Han LiuGenetic Testing Lab, The Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
Xinmin QiuGenetic Testing Lab, The Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
Jie GongDepartment of Clinical Laboratory, Wuhan Center for Clinical Laboratory, Wuhan, Hubei, China.
Hongping BaDepartment of Clinical Laboratory, Wuhan Center for Clinical Laboratory, Wuhan, Hubei, China.
Liping PanDepartment of Clinical Laboratory, Wuhan Center for Clinical Laboratory, Wuhan, Hubei, China.
Xiaoling MaDepartment of Laboratory Medicine, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, 230000, Hefei, Anhui, China.
Yingjie QiDepartment of Laboratory Medicine, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, 230000, Hefei, Anhui, China.
Yuru ShiDepartment of Laboratory Medicine, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, 230000, Hefei, Anhui, China.
Qi ZhangBeijing life oasis public service center, Beijing, China.
Dan LiBGI Genomics, 518083, Shenzhen, China.
Yingchun XuDepartment of Clinical Laboratory, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China. xycpumch@139.com.

Funding

National High Level Hospital Clinical Research Funding 2022-PUMCH-B-074
6 · The paper itself

Abstract

backgroundInfectious diseases are a serious threat to human especially since the COVID-19 outbreak has proved the importance and urgency of their diagnosis and treatment again. Metagenomic next-generation sequencing (mNGS) has been widely used and recognized in clinical and carried out localized testing in hospitals. Increasing the training of mNGS detection technicians can enhance their professional quality and more effectively realize the application value of the hospital platform.

methodsBased on the initial theoretical understanding and practice of the mNGS platform for localization construction, we have designed a training program to enhance the ability of technicians to detect pathogens by utilizing mNGS, and hence to conduct training practices nationwide.

resultsUntil August 30, 2022, the page views of online classes have reached 51,500 times and 6 of offline small-scale training courses have been conducted. A total of 67 trainees from 67 hospitals have participated in the training with a qualified rate of 100%. After the training course, the localization platform of 1 participating hospital has been put into use, 2 have added the mNGS localization platform for admission, among which 3 have expressed strong intention of localization.

conclusionsThis study focuses on the training procedures and practical experience of the project which is the first systematic standardized program of mNGS in the world. It solves the training difficulties in the current industry, and effectively promotes the localization construction and application of mNGS in hospitals. It has great development potential in the future and is worth further promotion.

Indexed as

COVID-19High-Throughput Nucleotide SequencingChinaCOVID-19 TestingDisease OutbreaksHospitalizationHumansSensitivity and SpecificityDiagnosisLocalizationMetagenomicPathogenSmall-scale training course

Identifiers

PMID38355463
PMCPMC10865699

What OpenQuestion holds

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LicenceCC BY
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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.