Evidence map›Paper›PMID 37218734›Full record

ArticleJournal of neurosurgery. Case lessons2023

Etiology of spastic foot drop among 16 patients undergoing electrodiagnostic studies: patient series.

Lisa B E Shields, Vasudeva G Iyer, Yi Ping Zhang, Christopher B Shields

Open access · hybridAbstract read
In one paragraph

Article in Journal of neurosurgery. Case lessons, 2023. 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
0.2field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  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

4 authors at 2 institutions in 1 country.

Lisa B E Shields1Norton Neuroscience Institute, Norton Healthcare, Louisville, Kentucky.
Vasudeva G Iyer2Neurodiagnostic Center of Louisville, Louisville, Kentucky; and.
Yi Ping Zhang1Norton Neuroscience Institute, Norton Healthcare, Louisville, Kentucky.
Christopher B Shields1Norton Neuroscience Institute, Norton Healthcare, Louisville, Kentucky.
Norton Healthcare · USNeurological Surgery · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDifferentiating foot drop due to upper motor neuron (UMN) lesions from that due to lower motor neuron lesions is crucial to avoid unnecessary surgery or surgery at the wrong location. Electrodiagnostic (EDX) studies are useful in evaluating patients with spastic foot drop (SFD). OBSERVATIONS: Among 16 patients with SFD, the cause was cervical myelopathy in 5 patients (31%), cerebrovascular accident in 3 (18%), hereditary spastic paraplegia in 2 (12%), multiple sclerosis in 2 (12%), chronic cerebral small vessel disease in 2 (12%), intracranial meningioma in 1 (6%), and diffuse brain injury in 1 (6%). Twelve patients (75%) had weakness of a single leg, whereas 2 others (12%) had bilateral weakness. Eleven patients (69%) had difficulty walking. The deep tendon reflexes of the legs were hyperactive in 15 patients (94%), with an extensor plantar response in 9 patients (56%). Twelve patients (75%) had normal motor and sensory conduction, 11 of whom had no denervation changes of the legs. LESSONS: This study is intended to raise awareness among surgeons about the clinical features of SFD. EDX studies are valuable in ruling out peripheral causes of foot drop, which encourages diagnostic investigation into a UMN source for the foot drop.

Indexed as

electrodiagnostic studieselectromyographynerve conduction studiesneurologyneurosurgeryspastic foot drop

Identifiers

PMID37218734
PMCPMC10550648
OpenAlexW4377564646

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.