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Record W3103673442 · doi:10.1177/0300060520969538

Successful treatment of unilateral neck pain with transforaminal epidural steroid injection on the left C3 nerve root: a case report

2020· article· en· W3103673442 on OpenAlexaff
Min Cheol Chang, Mathieu Boudier‐Revéret, Ming‐Yen Hsiao, Shaw‐Gang Shyu

Bibliographic record

VenueJournal of International Medical Research · 2020
Typearticle
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsUniversité de Montréal
FundersNational Research Foundation of Korea
KeywordsMedicineRadicular painNeck painDermatomeEpidural steroid injectionReferred painAnesthesiaNerve rootSurgeryCervical NerveNeuropathic painMagnetic resonance imagingLow back painRadiologyLumbar

Abstract

fetched live from OpenAlex

In clinical practice, neck pain is one of the most common complaints. Although most of the cervical radicular pain is manifested in the neck and upper extremities, C3 or C4 radicular pain only results in neck pain. It does not produce upper extremity radiating pain. This case report describes a 70-year-old male that presented with a numeric rating scale score of 5 out of 10 for the left neck pain that he had been experiencing for the previous 1 month. Hyperalgesia was present on the left C3 dermatome. Foraminal stenosis at the left C2-C3 was observed on cervical magnetic resonance imaging. In order to manage the neck pain on the left side due to the foraminal stenosis at the left C2-C3, a transforaminal epidural steroid injection (TFESI) was undertaken on the left C3 nerve root. Thirty minutes after TFESI, the patient's neck pain had completely resolved. At the 1-month and 3-month follow-ups, no neck pain was evident. Clinicians should consider the possibility of C3 radicular pain as a cause of neck pain, especially when the neck pain presents as neuropathic pain combined with sensory deficits.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.001
Science and technology studies0.0030.002
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0080.002
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.084
GPT teacher head0.408
Teacher spread0.325 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

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