Evidence map›Paper›PMID 41635883›Full record

ArticleBrain & spine2025

Stability, neurology, infection, and morbidity (SNIM): The quest towards a unified framework for assessment and management of spinal infection:A narrative review and position paper of the EANS spondylodiscitis study group.

Jonathan Neuhoff, Santhosh G Thavarajasingam, Ehab Shiban, Andreas K Demetriades, Frank Kandziora, Florian Ringel, Benjamin Davies, Andreas Kramer

Abstract readEditorial
In one paragraph

Article in Brain & spine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Jonathan NeuhoffCenter for Spinal Surgery and Neurosurgery, Berufsgenossenschaftliche Unfallklinik Frankfurt am Main, Germany.
Santhosh G ThavarajasingamDepartment of Neurosurgery, LMU University Hospital, Munich, Germany.
Ehab ShibanDepartment of Neurosurgery, Medical University Cottbus, Germany.
Andreas K DemetriadesEdinburgh Spinal Surgery Outcome Studies Group, Department of Neurosurgery, Royal Infirmary Edinburgh, NHS Lothian, Edinburgh, United Kingdom.
Frank KandzioraCenter for Spinal Surgery and Neurosurgery, Berufsgenossenschaftliche Unfallklinik Frankfurt am Main, Germany.
Florian RingelDepartment of Neurosurgery, LMU University Hospital, Munich, Germany.
Benjamin DaviesDepartment of Academic Neurosurgery, Addenbroke's Hospital, Cambridge University Hospital NHS Healthcare Trust, Cambridge, United Kingdom.
Andreas KramerDepartment of Neurosurgery, LMU University Hospital, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Primary spinal infections - including spondylodiscitis, vertebral osteomyelitis and epidural abscess - are increasingly prevalent and clinically heterogeneous, yet no standardized assessment or treatment guidelines currently exist. This position paper proposes a structured framework to support clinical evaluation and management and to guide future trials. Major findings: Based on a comprehensive literature review and expert consensus, the authors identify four core domains essential for spinal infection evaluation: Stability, Neurology, Infection, and Morbidity (SNIM). Stability is assessed through clinical and radiographic indicators such as vertebral destruction, deformity, and pain. Neurological deficits-including radicular weakness or myelopathy-remain key indications for decompression, supported by imaging of neural compression. Infection control depends on accurate pathogen identification, targeted antimicrobial therapy, and, when indicated, surgical debridement or abscess drainage. Morbidity, including age, frailty and comorbidities, modifies treatment strategies and influences conservative and surgical outcomes, necessitating tailored, risk-adapted approaches. Building on these domains, the paper formulates testable hypotheses related to surgical interventions and introduces a conceptual treatment algorithm designed to reduce clinical heterogeneity and inform prospective study design. Conclusion: The SNIM framework is presented as a preliminary model intended to harmonize terminology, support trial development, and structure future research. While not a validated classification system, it provides a foundation for stratifying patients and exploring outcome-relevant variables. The proposed algorithm reflects current expert interpretation and is offered as a hypothesis-generating tool to be refined through collaborative validation efforts. This paper aims to stimulate ongoing research and multidisciplinary engagement in the evolving field of spinal infection management.

Identifiers

PMID41635883
PMCPMC12861960

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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.