Evidence map›Paper›PMID 41584315›Full record

ReviewNorth American Spine Society journal2026

The diagnostic value of metagenomic next-generation sequencing versus traditional microbiological testing in native pyogenic spinal infections: A systematic review and meta-analysis.

Othman Ibrahim, Rewa Aboushaala, Namrah Ahmed, Andrew Savoia, Sloane O Ward, Shriya N Patel, Gregory Lopez, Sarah E Sansom, Brett Williams, Kern Singh and 2 more

Abstract readReview
In one paragraph

Review in North American Spine Society journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Othman IbrahimDepartment of Microbial Pathogens and Immunity, Rush Medical College, Rush University Medical Center, 1735 W. Harrison St. Cohn Bldg, Chicago, IL, 60612, United States.
Rewa AboushaalaDepartment of Microbial Pathogens and Immunity, Rush Medical College, Rush University Medical Center, 1735 W. Harrison St. Cohn Bldg, Chicago, IL, 60612, United States.
Namrah AhmedDepartment of Microbial Pathogens and Immunity, Rush Medical College, Rush University Medical Center, 1735 W. Harrison St. Cohn Bldg, Chicago, IL, 60612, United States.
Andrew SavoiaDepartment of Orthopedic Surgery, Rush Medical College, Rush University Medical Center, 1611 W. Harrison St.Chicago, Chicago, IL, 60612, United States.
Sloane O WardDepartment of Orthopedic Surgery, Rush Medical College, Rush University Medical Center, 1611 W. Harrison St.Chicago, Chicago, IL, 60612, United States.
Shriya N PatelDepartment of Orthopedic Surgery, Rush Medical College, Rush University Medical Center, 1611 W. Harrison St.Chicago, Chicago, IL, 60612, United States.
Gregory LopezDepartment of Orthopedic Surgery, Rush Medical College, Rush University Medical Center, 1611 W. Harrison St.Chicago, Chicago, IL, 60612, United States.
Sarah E SansomDepartment of Internal Medicine, Division of Infectious Diseases, Division of Clinical Microbiology, Rush Medical College, Rush University Medical Center, Chicago, 600 S Paulina St #140, Chicago, IL, 60612, United States.
Brett WilliamsDepartment of Internal Medicine, Division of Infectious Diseases, Division of Clinical Microbiology, Rush Medical College, Rush University Medical Center, Chicago, 600 S Paulina St #140, Chicago, IL, 60612, United States.
Kern SinghDepartment of Orthopedic Surgery, Rush Medical College, Rush University Medical Center, 1611 W. Harrison St.Chicago, Chicago, IL, 60612, United States.
Lena Al-HarthiDepartment of Microbial Pathogens and Immunity, Rush Medical College, Rush University Medical Center, 1735 W. Harrison St. Cohn Bldg, Chicago, IL, 60612, United States.
Khaled AboushaalaDepartment of Microbial Pathogens and Immunity, Rush Medical College, Rush University Medical Center, 1735 W. Harrison St. Cohn Bldg, Chicago, IL, 60612, United States.

Funding

Institutional Career Development Core (Chapter 1)KL2TR002387 · NCATS · UNIVERSITY OF CHICAGO · PI ERIC C BEYER, Lisa L Barnes · 2017 to 2026
$7.6M
NCATS NIH HHS KL2 TR002387
6 · The paper itself

Abstract

Background: Native pyogenic spinal infections (PSIs), including spondylodiscitis and vertebral osteomyelitis, are challenging to diagnose due to low culture sensitivity and delayed results. Metagenomic next-generation sequencing (mNGS) has emerged as a promising diagnostic tool, but its comparative clinical utility remains uncertain. The purpose of this study is to systematically compare the diagnostic performance and clinical impact of mNGS versus conventional microbial culture in detecting pathogens responsible for native PSIs. Methods: The current systematic review and meta-analysis was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A comprehensive literature search was performed across 6 major databases. Eligible studies directly compared mNGS with standard culture for native PSIs and reported diagnostic performance metrics. Data were extracted and analyzed using a random-effects model to produce pooled estimates. Study quality was assessed using the Newcastle-Ottawa Scale. Primary outcomes included pooled sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Secondary outcomes assessed diagnostic yield, time to diagnosis, treatment modification, and false-positive or contamination events. Results: A total of 1,227 patients from 12 studies were included, encompassing those with suspected or confirmed native PSIs. Pooled sensitivity and specificity of mNGS were 89.7% (95% CI: 85.6-93.1%) and 86.2% (95% CI: 80.5-91.0%), respectively. mNGS demonstrated a significantly higher diagnostic yield (69-90%) compared to culture (27.2-44.7%) and enabled faster diagnosis (range, 17.7-48 hours). mNGS informed antimicrobial selection in up to 70.3% of cases and detected a broader pathogen spectrum. The incidence of false positives was low (range, 1-5) but non-negligible, emphasizing the need for careful interpretation. Conclusions: mNGS outperforms conventional culture in sensitivity, speed, and breadth of pathogen detection in native PSIs and supports more tailored antimicrobial therapy. However, careful interpretation is necessary due to potential false positives. These findings support the integration of mNGS into clinical workflows, particularly in complex or culture-negative infections.

Indexed as

Culture-negative infectionsDiagnostic accuracyMetagenomic next-generation sequencingMicrobial identificationmNGSPathogen detectionSpinal epidural abscessSpinal infectionsSpondylodiscitisVertebral osteomyelitis

Identifiers

PMID41584315
PMCPMC12830174

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.