Evidence map›Paper›PMID 41082792›Full record

ArticleJournal of neurosurgery. Case lessons2025

Management of a three-column unstable injury in nonagenarian patients: illustrative case.

Francisco Rivera, Arnau Benet

Abstract read
In one paragraph

Article in Journal of neurosurgery. Case lessons, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Francisco RiveraDepartment of Neurosurgery, Centro de Educacion Medica e Investigaciones Clinicas University Institute, Ciudad Autónoma de Buenos Aires, Argentina.ORCID 0009-0005-8979-1906
Arnau BenetDepartment of Neurosurgery, California Neurosurgical Specialists, Thousand Oaks, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThree-column unstable fractures represent unstable spinal injuries. Chance fractures, while traditionally occurring in younger populations due to high-energy trauma, are increasingly being observed in older patients following injury caused by low-energy mechanisms. Management of this type of fracture in nonagenarians presents unique challenges due to multiple comorbidities, frailty, and limited evidence-based guidelines for this vulnerable population. OBSERVATIONS: The authors present the case of a 92-year-old male with baseline dementia who sustained a C5-6 three-column unstable fracture following a ground-level fall. Despite the fracture's instability, conservative management with cervical collar immobilization was chosen over surgical intervention after extensive family discussion, considering the patient's advanced age, cognitive status, medical comorbidities, and history of noncompliance. A systematic literature review revealed no articles addressing three-column unstable injuries in nonagenarians and only 1 previous case report addressing Chance fractures in patients > 90 years of age, highlighting the scarcity of evidence for this population. LESSONS: Management of three-column unstable fractures in nonagenarians requires individualized decision-making that balances surgical indications with patient-specific factors including cognitive status, compliance potential, family dynamics, and overall functional goals. The lack of standardized protocols necessitates a multidisciplinary approach integrating medical, surgical, psychosocial, and family considerations to optimize outcomes in this vulnerable population. https://thejns.org/doi/abs/10.3171/CASE25406.

Indexed as

chance fractureconservative managementnonagenarianspine traumasurgical decision-making

Identifiers

PMID41082792
PMCPMC12525758

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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.