Evidence map›Paper›PMID 34859110›Full record

ArticleOpen forum infectious diseases2021

Next-Generation Sequencing to Detect Pathogens in Pediatric Febrile Neutropenia: A Single-Center Retrospective Study of 112 Cases.

Kazuhiro Horiba, Yuka Torii, Toshihiko Okumura, Suguru Takeuchi, Takako Suzuki, Jun-Ichi Kawada, Hideki Muramatsu, Yoshiyuki Takahashi, Tomoo Ogi, Yoshinori Ito

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

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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 at 1 institution in 1 country.

Kazuhiro HoribaDepartment of Genetics, Research Institute of Environmental Medicine, Nagoya University, Nagoya, Japan.
Yuka ToriiDepartment of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Toshihiko OkumuraDepartment of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Suguru TakeuchiDepartment of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Takako SuzukiDepartment of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Jun-Ichi KawadaDepartment of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Hideki MuramatsuDepartment of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Yoshiyuki TakahashiDepartment of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Tomoo OgiDepartment of Genetics, Research Institute of Environmental Medicine, Nagoya University, Nagoya, Japan.
Yoshinori ItoDepartment of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID https://orcid.org/0000-0001-7199-7088
Nagoya University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFebrile neutropenia (FN) is a frequent complication in immunocompromised patients. However, causative microorganisms are detected in only 10% of patients. This study aimed to detect the microorganisms that cause FN using next-generation sequencing (NGS) to identify the genome derived from pathogenic microorganisms in the bloodstream. Here, we implemented a metagenomic approach to comprehensively analyze microorganisms present in clinical samples from patients with FN.

methodsFN is defined as a neutrophil count <500 cells/µL and fever ≥37.5°C. Plasma/serum samples of 112 pediatric patients with FN and 10 patients with neutropenia without fever (NE) were sequenced by NGS and analyzed by a metagenomic pipeline, PATHDET.

resultsThe putative pathogens were detected by NGS in 5 of 10 FN patients with positive blood culture results, 15 of 87 FN patients (17%) with negative blood culture results, and 3 of 8 NE patients. Several bacteria that were common in the oral, skin, and gut flora were commonly detected in blood samples, suggesting translocation of the human microbiota to the bloodstream in the setting of neutropenia. The cluster analysis of the microbiota in blood samples using NGS demonstrated that the representative bacteria of each cluster were mostly consistent with the pathogens in each patient.

conclusionsNGS technique has great potential for detecting causative pathogens in patients with FN. Cluster analysis, which extracts characteristic microorganisms from a complex microbial population, may be effective to detect pathogens in minute quantities of microbiota, such as those from the bloodstream.

Indexed as

blood microbiomefebrile neutropeniametagenomicsmicrobial diversitynext-generation sequencing

Identifiers

PMID34859110
PMCPMC8634086
OpenAlexW3158108036

What OpenQuestion holds

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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.