Evidence map›Paper›PMID 41013905›Full record

ArticleMuscle & nerve2025

Predictive Values of Preoperative Compound Muscle Action Potential Amplitude for Surgical Outcomes in Idiopathic Ulnar Neuropathy at the Elbow.

Jae-Yong Cho, Hyeong-Jun Rhyu, Hyun-Kyo Kim, Hee-Soo Kim, Won-Taek Oh, Il-Hyun Koh, Yun-Rak Choi

Abstract read
In one paragraph

Article in Muscle & nerve, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jae-Yong ChoDepartment of Orthopaedic Surgery, Yonsei University College of Medicine, Severance Hospital, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-6729-9292
Hyeong-Jun RhyuDepartment of Orthopaedic Surgery, Yonsei University College of Medicine, Severance Hospital, Seoul, Republic of Korea.
Hyun-Kyo KimDepartment of Orthopaedic Surgery, Yonsei University College of Medicine, Severance Hospital, Seoul, Republic of Korea.
Hee-Soo KimDepartment of Orthopaedic Surgery, Yonsei University College of Medicine, Severance Hospital, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-0779-7302
Won-Taek OhDepartment of Orthopaedic Surgery, Yonsei University College of Medicine, Severance Hospital, Seoul, Republic of Korea.
Il-Hyun KohDepartment of Orthopaedic Surgery, Yonsei University College of Medicine, Severance Hospital, Seoul, Republic of Korea.
Yun-Rak ChoiDepartment of Orthopaedic Surgery, Yonsei University College of Medicine, Severance Hospital, Seoul, Republic of Korea.

Funding

Yonsei University College of Medicine 6-2023-0141
6 · The paper itself

Abstract

INTRODUCTIONS/

aimsDespite numerous studies on ulnar neuropathy at the elbow (UNE), the predictive value of preoperative compound muscle action potential (CMAP) amplitude for postoperative intrinsic function remains unclear. This study aimed to evaluate the predictive values of preoperative CMAP amplitude for surgical outcomes in idiopathic UNE.

methodsA retrospective study was conducted on patients who underwent ulnar nerve transposition for idiopathic UNE with at least 24 months of follow-up. The primary outcome was the Medical Research Council (MRC) muscle strength of the abductor digiti minimi (ADM), and poor ADM function was defined as an MRC grade ≤ 2 at the final follow-up or a grade lower than baseline. Secondary outcomes included the key pinch strength ratio, grip strength ratio, and patient-reported outcomes. Correlation and regression analyses were performed to identify factors associated with clinical outcomes, and a ROC curve was used to determine the cut-off value of preoperative CMAP amplitude for predicting poor ADM function.

resultsA total of 79 patients were included. Preoperative CMAP amplitude showed significant correlations with postoperative ADM MRC grade and key pinch strength ratio. Poor ADM function was observed in 11 patients (14%) and was independently associated with lower CMAP amplitude. The ROC curve analysis revealed a cut-off value of 6.15 mV (AUC 0.83, sensitivity 100%, specificity 71%). DISCUSSION: This study indicates that preoperative CMAP amplitude could be a key predictor of postoperative ADM function in idiopathic UNE. A cut-off of 6.15 mV may help identify patients at risk of poor recovery and guide surgical decision-making.

Indexed as

Action PotentialsElbowMuscle, SkeletalUlnar NerveUlnar NeuropathiesAdultAgedElectromyographyFemaleHand StrengthHumansMaleMiddle AgedMuscle StrengthPredictive Value of TestsPreoperative Periodcompound muscle action potentialcubital tunnel syndromeulnar nerveulnar neuropathies

Identifiers

PMID41013905
PMCPMC12599592

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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.