Evidence map›Paper›PMID 35391735›Full record

ArticleFrontiers in microbiology2022

Integration of Interleukin-6 Improves the Diagnostic Precision of Metagenomic Next-Generation Sequencing for Infection in Immunocompromised Children.

Di Wang, Min Lai, Hua Song, Jing-Ying Zhang, Fen-Ying Zhao, Juan Liang, Wei-Qun Xu, Yong-Min Tang, Xiao-Jun Xu

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Observational
  4. Article
  5. Article
  6. Review
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

9 authors.

Di WangDivision/Center of Hematology-Oncology, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Min LaiDivision/Center of Hematology-Oncology, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Hua SongDivision/Center of Hematology-Oncology, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Jing-Ying ZhangDivision/Center of Hematology-Oncology, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Fen-Ying ZhaoDivision/Center of Hematology-Oncology, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Juan LiangDivision/Center of Hematology-Oncology, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Wei-Qun XuDivision/Center of Hematology-Oncology, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Yong-Min TangDivision/Center of Hematology-Oncology, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Xiao-Jun XuDivision/Center of Hematology-Oncology, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The performance of metagenomic next-generation sequencing (mNGS) in identifying pathogens in immunocompromised children was not very clear. The purpose of this study is to assess the performance of mNGS in this population and to investigate whether the integration of serum cytokines and mNGS assay could improve diagnostic accuracy. We retrospectively collected the clinical data of pediatric patients who suffered febrile diseases and underwent mNGS determination simultaneously in the department of hematology/oncology between January 2019 and March 2021. Specimens were sent for conventional microbiological test (CMT), mNGS, and serum cytokine measurement in parallel. A total of 258 episodes of febrile diseases were enrolled, mNGS was positive in 224 cases, while CMT was positive in 78 cases. mNGS and CMT were both positive in 70 (27.1%) cases and were both negative in 26 (10.1%) cases. There were 154 (59.7%) cases positive by mNGS only while 8 (3.1%) were positive by CMT only. It was common that two or more pathogens were simultaneously detected by mNGS in a single specimen, with only 61 tests identified a single organism. Whether the organisms reported by mNGS were the microbiological etiology of infection was evaluated. Of the 224 cases with positive mNGS results, 135 (58.4%), 30 (13.0%), and 59 (28.6%) were considered as "probable," "possible," and "unlikely," respectively. Patients with high IL-6 (≥ 390 pg/ml) were likely to be bacterial infection. Although mNGS reported mixed pathogens, 84.6% (33/39) and 83.3% (10/12) of patients presenting high IL-6 were confirmed as bacterial infection in the training and validation cohort, respectively. In conclusion, mNGS analysis demonstrates promising diagnostic potential in rapidly identifying clinically relevant pathogens. Given the detection of many clinically irrelevant organisms, the integration of IL-6 improves the precision of mNGS results interpretation.

Indexed as

childrenimmunocompromisedinterleukin-6metagenomic next-generation sequencingpathogen

Identifiers

PMID35391735
PMCPMC8982073

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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.