Evidence map›Paper›PMID 39211440›Full record

ArticleChina CDC weekly2024

Infection and Genomic Characteristics of

Xiangdong Yang, Wen Wang, Chajin Cui, Binbin Yu, Qing Zhang, Yanhua Wang

Abstract read
In one paragraph

Article in China CDC weekly, 2024. 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
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Xiangdong YangEcological Medicine Research Center, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Wen WangEcological Medicine Research Center, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Chajin CuiMedical Laboratory Department, Yunnan Luxi County People's Hospital, Honghe Hani-Yi Autonomous Prefecture, Yunnan Province, China.
Binbin YuDepartment of Zoonotic Disease Control and Prevention, Yunnan Institute of Endemic Diseases Control & Prevention, Dali Bai Autonomous Prefecture, Yunnan Province, China.
Qing ZhangDepartment of Zoonotic Disease Control and Prevention, Yunnan Institute of Endemic Diseases Control & Prevention, Dali Bai Autonomous Prefecture, Yunnan Province, China.
Yanhua WangEcological Medicine Research Center, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: A 20-month-old boy was admitted to the hospital with a maximum temperature of 40 °C and a single convulsion. Unexpectedly, blood culture detected What is added by this report?: After incubation of the patient's blood for 48 hours, the cultured strain was identified as What are the implications for public health practice?: It should be underscored that relying solely on automatic bacterial identification instruments for accurate strain identification is unreliable. Moreover, our study suggests that the potential effect of T6SS should be considered when studying the genetic features of a patient's clinical phenotypes.

Indexed as

Campylobacter jejuniType VI Secretion SystemValine–glycine repeat protein GWhole-genome sequencing

Identifiers

PMID39211440
PMCPMC11350234

What OpenQuestion holds

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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.