Evidence map›Paper›PMID 32168833›Full record

ArticleJournal of clinical medicine2020

Degenerative Cervical Myelopathy: How to Identify the Best Responders to Surgery?

Rocco Severino, Aria Nouri, Enrico Tessitore

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% of its field
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 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Evaluating tissue injury in cervical spondylotic myelopathy with spinal cord MRI: a systematic review.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 · 2024
    Pooled it
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  8. Detection of cerebral reorganization associated with degenerative cervical myelopathy using diffusion spectral imaging (DSI).Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia · 2021
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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

3 authors at 2 institutions in 2 countries.

Rocco SeverinoDivision of Neurosurgery, IRCCS Neuromed, 86077 Pozzilli (IS), Italy.
Aria NouriDepartment of Neurosurgery, Hôpitaux Universitaires de Genève (HUG), 1205 Geneva, Switzerland.
Enrico TessitoreDepartment of Neurosurgery, Hôpitaux Universitaires de Genève (HUG), 1205 Geneva, Switzerland.
Hôpital Beau-Séjour · CHIstituto Neurologico Mediterraneo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgery is the only definitive treatment for degenerative cervical myelopathy (DCM), however, the degree of neurological recovery is often unpredictable. Here, we assess the utility of a multidimensional diagnostic approach, consisting of clinical, neurophysiological, and radiological parameters, to identify patients likely to benefit most from surgery. Thirty-six consecutive patients were prospectively analyzed using the modified Japanese Orthopedic Association (mJOA) score, MEPs/SSEPs and advance and conventional MRI parameters, at baseline, and 3- and 12-month postoperatively. Patients were subdivided into "normal" and "best" responders (<50%, ≥50% improvement in mJOA), and correlation between Diffusion Tensor Imaging (DTI) parameters, mJOA, and MEP/SSEP latencies were examined. Twenty patients were "best" responders and 16 were "normal responders", but there were no statistical differences in age, T2 hyperintensity, and midsagittal diameter between them. There was a significant inverse correlation between the MEPs central conduction time and mJOA in the preoperative period (

Indexed as

ADCdegenerative cervical myelopathy (DCM), surgical outcomeDTIFAMEPMRIneurophysiologysignal changes spinal canalSSEP

Identifiers

PMID32168833
PMCPMC7141260
OpenAlexW3010971583

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.