Evidence map›Paper›PMID 39844843›Full record

ArticleFrontiers in cellular and infection microbiology2024

Metagenomic next-generation sequencing for the clinical identification of spinal infection-associated pathogens.

Tengfei Shi, Yuhan Lin, Xuexin Zheng, Hongliang Ruan, Rui Zhang, Yinhuan Liu, Shaohan Xu, Huafeng Wang

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Metagenomic next-generation sequencing for the diagnosis of suspected spinal infections from biopsy samples: a novel biopsy toolkit design and real-life diagnostic value.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
  5. Infection and drug resistance · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. 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

8 authors.

Tengfei Shi *Department of Clinical Laboratory, Fuzhou Second General Hospital, Fuzhou, Fujian, China.
Yuhan Lin *Department of Spine Surgery, Fuzhou Second General Hospital, Fuzhou, Fujian, China.
Xuexin ZhengDepartment of Clinical Laboratory, Fuzhou Second General Hospital, Fuzhou, Fujian, China.
Hongliang RuanDepartment of Spine Surgery, Fuzhou Second General Hospital, Fuzhou, Fujian, China.
Rui ZhangDepartment of Clinical Laboratory, Fuzhou Second General Hospital, Fuzhou, Fujian, China.
Yinhuan LiuDepartment of Clinical Laboratory, Fuzhou Second General Hospital, Fuzhou, Fujian, China.
Shaohan XuDepartment of Clinical Laboratory, Fuzhou Second General Hospital, Fuzhou, Fujian, China.
Huafeng WangDepartment of Spine Surgery, Fuzhou Second General Hospital, Fuzhou, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to evaluate the efficacy of metagenomic next-generation sequencing (mNGS) technology for identifying pathogens associated with spinal infection (SI). Methods: A retrospective analysis was conducted on clinical data from 193 patients with suspected SI between August 2020 and September 2024. Based on histopathological results, the patients were divided into the SI group (n=162) and the non-SI group (n=31). The diagnostic performance of mNGS technology was compared with that of laboratory examination, imaging examination, and microbial culture. Results: Among SI group, mNGS detected 135 pathogens in 77.78% (126/162) of the cases, including nine cases of multiple infections. One or more pathogens were detected using mNGS in 86 patients with SI and negative microbial cultures. Conclusion: The pathogens responsible for SI are complex and diverse. As a novel diagnostic method, mNGS exhibits a high sensitivity and extensive pathogen coverage for SI diagnosis. When combined with imaging and laboratory indicators, mNGS can significantly improve the accuracy of SI diagnosis and provide strong support for clinical treatment.

Indexed as

BacteriaHigh-Throughput Nucleotide SequencingMetagenomicsSpinal DiseasesAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective StudiesYoung Adultmetagenomic next-generation sequencingmicrobial culturepathogenssensitivityspecificityspinal infection

Identifiers

PMID39844843
PMCPMC11753247

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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.