Evidence map›Paper›PMID 41503235›Full record

ArticleThe Lancet regional health. Western Pacific2025

Mapping the landscape of healthcare-associated infections in China, 2015-2019: a nation-wide observational study.

Hong-Wu Yao, Chen-Long Lv, Yao Tian, Yu-Zheng Zhang, Zheng-Hao Yu, Ming-Mei Du, Cheng-Xue Ma, Ji-Jiang Suo, Shuo Zhao, Yu Zhang and 18 more

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2025. 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
–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

3 citing papers in PubMed.

  1. Article
  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

28 authors.

Hong-Wu YaoDepartment of Disease Prevention and Control, The First Medical Center, Chinese PLA General Hospital, Beijing, PR China.
Chen-Long LvState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Science, Beijing, PR China.
Yao TianState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Science, Beijing, PR China.
Yu-Zheng ZhangNational Center for Mental Health, China, Beijing, PR China.
Zheng-Hao YuDepartment of Disease Prevention and Control, The First Medical Center, Chinese PLA General Hospital, Beijing, PR China.
Ming-Mei DuDepartment of Disease Prevention and Control, The First Medical Center, Chinese PLA General Hospital, Beijing, PR China.
Cheng-Xue MaDepartment of Disease Prevention and Control, The First Medical Center, Chinese PLA General Hospital, Beijing, PR China.
Ji-Jiang SuoDepartment of Disease Prevention and Control, The First Medical Center, Chinese PLA General Hospital, Beijing, PR China.
Shuo ZhaoNational Institute of Hospital Administration, The China's National Health Commission, Beijing, PR China.
Yu ZhangNational Institute of Hospital Administration, The China's National Health Commission, Beijing, PR China.
Yu-Bin XingDepartment of Disease Prevention and Control, The First Medical Center, Chinese PLA General Hospital, Beijing, PR China.
An-Ran ZhangState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Science, Beijing, PR China.
Yan-Ling BaiDepartment of Disease Prevention and Control, The First Medical Center, Chinese PLA General Hospital, Beijing, PR China.
Bo-Wei LiuDepartment of Disease Prevention and Control, The First Medical Center, Chinese PLA General Hospital, Beijing, PR China.
Zhong-Qiang YanDepartment of Disease Prevention and Control, The First Medical Center, Chinese PLA General Hospital, Beijing, PR China.
Ju-Yuan LiuHospital Infection Control Department, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, PR China.
Meng CaiHospital Infection Control Department, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, PR China.
Rui HuoHangZhou XingLin Information Technology CO., LTD, Hangzhou, PR China.
Jian LinHangZhou XingLin Information Technology CO., LTD, Hangzhou, PR China.
Chun-Ping ChenHangZhou XingLin Information Technology CO., LTD, Hangzhou, PR China.
Bao-Gui JiangState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Science, Beijing, PR China.
Qiang XuState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Science, Beijing, PR China.
Jin-Jin ChenState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Science, Beijing, PR China.
Qing-Bin LuDepartment of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, PR China.
Yang YangDepartment of Biostatistics, College of Public Health and Health Professions, and Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA.
Wei LiuState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Science, Beijing, PR China.
Li-Qun FangState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Science, Beijing, PR China.
Yun-Xi LiuDepartment of Disease Prevention and Control, The First Medical Center, Chinese PLA General Hospital, Beijing, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Healthcare-associated infections (HAIs), complicated by antimicrobial resistance continue to affect all countries with unprecedented threat, especially for developing countries. Our objective was to explore the epidemiological features, spatiotemporal heterogeneity and associated factors of HAIs and HAI related multi-drug resistant organisms (MDROs) in China. Methods: We used national surveillance data that were collected from 6867 sampled hospitals during 2015-2019 to determine the annual incidence of HAIs, key HAI-related quality indicators and associated factors. Findings: During 2015-2019, total of 4,959,230 HAIs were reported in sampled hospitals in China, with the overall incidence and prevalence estimated as 1.1 and 2.3 per 100 inpatients, which showed decline trend over time. Carbapenem-resistant Interpretation: The study increases the understanding of HAIs and antimicrobial resistance. It highlights high-risk areas of HAIs and MDROs of concern, where targeted measures to continuously enhance management and policies implementation of HAIs are needed. Funding: The Foundation of State Key Laboratory of Pathogen and Biosecurity of China (Grant No. SKLPBS2443) and Infection Prevention and Control Research Project of "Gan·Dong China" (Grant No. GY2023022-A).

Indexed as

Antimicrobial useHealthcare-associated infectionMulti-drug resistant organismsRisk factorsSpatiotemporal heterogeneity

Identifiers

PMID41503235
PMCPMC12768928

What OpenQuestion holds

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Registered trials

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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.