Evidence map›Paper›PMID 35236251›Full record

ArticleEmerging microbes & infections2022

Molecular epidemiology of carbapenem-resistant hypervirulent

Xuemei Yang, Qiaoling Sun, Jiaping Li, Yu Jiang, Yi Li, Jianping Lin, Kaichao Chen, Edward Wai-Chi Chan, Rong Zhang, Sheng Chen

Abstract read
In one paragraph

Article in Emerging microbes & infections, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
128citing papers in PubMed, 2 pooled it
–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

128 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. RecCVirulence · 2026
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  7. Molecular Epidemiology ofMicroorganisms · 2026
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68 more citing papers are in PubMed but not listed here.

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

10 authors.

Xuemei YangDepartment of Infectious Diseases and Public Health, City University of Hong Kong, Kowloon, Hong Kong.
Qiaoling SunDepartment of Clinical Laboratory Medicine, Second Affiliated Hospital of Zhejiang University, Hangzhou, People's Republic of China.
Jiaping LiDepartment of Clinical Laboratory Medicine, Second Affiliated Hospital of Zhejiang University, Hangzhou, People's Republic of China.
Yu JiangDepartment of Clinical Laboratory Medicine, Second Affiliated Hospital of Zhejiang University, Hangzhou, People's Republic of China.
Yi LiDepartment of Clinical Laboratory Medicine, Henan Provincial People's Hospital, Zhengzhou, People's Republic of China.
Jianping LinDepartment of Clinical Laboratory Medicine, Wenzhou people's Hospital, Wenzhou, People's Republic of China.
Kaichao ChenDepartment of Infectious Diseases and Public Health, City University of Hong Kong, Kowloon, Hong Kong.
Edward Wai-Chi ChanState Key Laboratory of Chirosciences, Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Kowloon, Hong Kong.
Rong ZhangDepartment of Clinical Laboratory Medicine, Second Affiliated Hospital of Zhejiang University, Hangzhou, People's Republic of China.
Sheng ChenDepartment of Infectious Diseases and Public Health, City University of Hong Kong, Kowloon, Hong Kong.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The epidemiological features of the newly emerged carbapenem-resistant hypervirulent

Indexed as

Klebsiella InfectionsKlebsiella pneumoniaeAnti-Bacterial Agentsbeta-LactamasesCarbapenemsChinaHumansMolecular EpidemiologyPhylogenyPlasmidsAnti-Bacterial Agentsbeta-LactamasesCarbapenemsCR-HvKPepidemiologyKlebsiella pneumoniaeprevalencevirulence plasmid

Identifiers

PMID35236251
PMCPMC8942559

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.