Evidence map›Paper›PMID 39165848›Full record

ArticleInfection and drug resistance2024

Utility of Metagenomic Next-Generation Sequencing for Diagnosis of Infectious Diseases in Critically Ill Immunocompromised Pediatric Patients.

Xiangzhi Xu, Yafeng Zheng, Xiaojing Zhang, Chenmei Zhang, Wei Gai, Zihao Yang

Abstract read
In one paragraph

Article in Infection and drug resistance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Clinical features ofFrontiers in medicine · 2025
    Article
  7. Article
  8. 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

6 authors.

Xiangzhi Xu *Department of Pediatric Intensive Care Unit, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.ORCID 0009-0004-1727-9068
Yafeng Zheng *WillingMed Technology (Beijing) Co., Ltd, Beijing, People's Republic of China.ORCID 0000-0002-1132-3433
Xiaojing Zhang *WillingMed Technology (Beijing) Co., Ltd, Beijing, People's Republic of China.
Chenmei ZhangDepartment of Pediatric Intensive Care Unit, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Wei GaiWillingMed Technology (Beijing) Co., Ltd, Beijing, People's Republic of China.
Zihao YangDepartment of Pediatric Intensive Care Unit, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Infections cause high rates of illness and death in children worldwide. However, studies on the clinical value of metagenomic next-generation sequencing (mNGS) for immunocompromised children are still limited. Patients and Methods: From June 2021 to December 2023, 119 samples were collected at Pediatric Intensive Care Unit (PICU) of a single-center pediatric hospital and classified into two groups based on their immune states. We compared the diagnostic performance of mNGS and conventional microbiological test (CMT) for pathogen identification, and assessed the clinical impacts of mNGS. Results: Among the 119 samples, 48 (40.34%) belonged to the immunocompromised children. mNGS had a higher positivity rate than CMT (76.47% vs 55.46%, Conclusion: In patients from PICU, mNGS had a greater clinical significance in immunocompromised children compared to immunocompetent children. mNGS technology is an important auxiliary method for achieving accurate diagnosis and treatment of critically ill pediatric patients.

Indexed as

clinical impactimmunocompromisedinfectious diseasesmNGSpediatrics

Identifiers

PMID39165848
PMCPMC11334925

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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.