Evidence map›Paper›PMID 39233549›Full record

Observational studySpine2025

Pathogenic Detection by Metagenomic Next-generation Sequencing in Spinal Infections.

Chuqiang Yin, Yanan Cong, Huafeng Wang, Dechun Wang, Xizhong Yang, Xuesong Wang, Ting Wang

Abstract readObservational Study
In one paragraph

Observational study in Spine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Clinical utility of metagenomic next-generation sequencing in diagnosing spinal infections: a systematic review and meta-analysis.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
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  5. 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
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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

7 authors.

Chuqiang YinDepartment of Spinal Surgery, the Affiliated Hospital of Qingdao University, Shandong, China.
Yanan CongHealth Management Center, the Affiliated Hospital of Qingdao University, Shandong, China.
Huafeng WangDepartment of Spinal Surgery, Fuzhou Second Hospital, Fujian, China.
Dechun WangDepartment of Spinal Surgery, Qingdao Municipal Hospital Group, Shandong, China.
Xizhong YangDepartment of Spinal Surgery, Qingdao Haici Hospital Affiliated to Qingdao University, Shandong, China.
Xuesong WangSpinal Department of Qingdao Central Hospital, Qingdao Central Hospital, Shandong, China.
Ting WangDepartment of Spinal Surgery, the Affiliated Hospital of Qingdao University, Shandong, China.ORCID 0000-0003-1094-7161

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

designA retrospective, observational study.

objectiveTo evaluate the ability and value of metagenomic next-generation sequencing (mNGS) in detecting pathogens from spinal infections.

backgroundThe pathogenic diagnosis of primary spinal infection is challenging. The widespread application of mNGs in clinical practice makes it particularly useful in detecting rare, emerging, and atypical complex infectious diseases.

methodsFrom January 2019 to December 2023, 120 samples were retrospectively collected from patients suspected of spinal infections and undergoing treatment. Pairwise comparisons between traditional laboratory tests and mNGS were conducted for all cases.

resultsAmong the 120 cases, 95 were diagnosed as spinal infections, while 25 were classified as noninfectious. Microbiological evidence was found in 59 cases, while 36 cases were clinically diagnosed as spinal infections without definitive microbiological evidence. Rare microorganisms such as Aspergillus fumigatus , Taifanglania major , and Coxiella burnetii were detected by mNGS. The positive rate of mNGS was significantly higher at 88.42% compared with microbiological culture (43.16%), P <0.001. At the genus level, mNGS exhibited a consistency rate of 86.44% (51/59) with confirmed microorganisms. MNGS demonstrated very good agreement with clinically confirmed microorganisms at the genus level (κ=0.833). The sensitivity, specificity, positive predictive value, and negative predictive value of mNGS were 86.44%, 92.00%, 96.23%, and 74.19%, respectively.

conclusionsThe mNGS test exhibits rapidity, efficiency, and accuracy, rendering it of immense diagnostic and therapeutic value in the realm of spinal infection diseases.

Indexed as

High-Throughput Nucleotide SequencingMetagenomicsSpinal DiseasesAdolescentAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective StudiesYoung Adult

Identifiers

PMID39233549
PMCPMC11771361

What OpenQuestion holds

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Registered trials

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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.