Evidence map›Paper›PMID 34589675›Full record

ArticlePediatric investigation2021

Shufeng Tian, Jikui Deng, Wenhua Huang, Linlin Liu, Yunsheng Chen, Yongqiang Jiang, Gang Liu

Open access · goldAbstract read
In one paragraph

Article in Pediatric investigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. UnravelingFrontiers in oncology · 2024
    Review
  5. Pediatric investigation · 2021
    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

7 authors at 4 institutions in 2 countries.

Shufeng TianKey Laboratory of Major Diseases in Children Ministry of Education Research Unit of Critical Infection in Children Chinese Academy of Medical Sciences 2019RU016 Department of Infectious Diseases Beijing Children's Hospital Capital Medical University National Center for Children's Health Beijing China.
Jikui DengDepartment of Infectious Diseases Shenzhen Children's Hospital Shenzhen Guangdong China.
Wenhua HuangState Key Laboratory of Pathogens and Biosecurity Institute of Microbiology and Epidemiology Beijing China.
Linlin LiuKey Laboratory of Major Diseases in Children Ministry of Education Research Unit of Critical Infection in Children Chinese Academy of Medical Sciences 2019RU016 Department of Infectious Diseases Beijing Children's Hospital Capital Medical University National Center for Children's Health Beijing China.
Yunsheng ChenDepartment of Clinical Laboratory Shenzhen Children's Hospital Shenzhen Guangdong China.
Yongqiang JiangState Key Laboratory of Pathogens and Biosecurity Institute of Microbiology and Epidemiology Beijing China.
Gang LiuKey Laboratory of Major Diseases in Children Ministry of Education Research Unit of Critical Infection in Children Chinese Academy of Medical Sciences 2019RU016 Department of Infectious Diseases Beijing Children's Hospital Capital Medical University National Center for Children's Health Beijing China.
Beijing Children’s Hospital · CNInstitute of Microbiology · BYShenzhen Children's Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceThe current lack of reliable rapid tests for distinguishing between bacterial and viral infections has contributed to antibiotic misuse.

objectiveThis study aimed to develop a novel biomarker assay that integrates

methodsThis prospective study recruited children with febrile illness from two hospitals between July 1, 2018, and June 30, 2019. A panel of three experienced pediatricians performed reference standard diagnoses of all patients (i.e., bacterial or viral infection) using available clinical and laboratory data, including a 28-day follow-up assessment. Assay operators were blinded to the reference standard diagnoses. The expression levels of

resultsOf 133 potentially eligible patients with suspected bacterial or viral infection, 35 were excluded after the application of exclusion criteria. The resulting cohort included 98 patients: 59 with viral diagnoses and 39 with bacterial diagnoses. The areas under the curve (AUCs) of diagnoses using

interpretationThe DRS was significantly more accurate than the CRP level in distinguishing between bacterial and viral infections; the combination of these two parameters exhibited greater sensitivity and specificity. This study provides information that could be useful for the clinical application of

Indexed as

Bacterial infectionFAM89AFebrile childrenIFI44LViral infection

Identifiers

PMID34589675
PMCPMC8458721
OpenAlexW3203076896

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.