Evidence map›Paper›PMID 42324201›Full record

ArticleMuscle & nerve2026

Determinants of the Maximal Nerve Cross-Sectional Area and Its Role in the Separation of Entrapment and Compression Ulnar Neuropathies at the Elbow.

Simon Podnar

Abstract read
In one paragraph

Article in Muscle & nerve, 2026. 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

1 author.

Simon PodnarInstitute of Clinical Neurophysiology, Division of Neurology, University Medical Centre Ljubljana, Ljubljana, Slovenia.ORCID https://orcid.org/0000-0003-2541-0172

Funding

Javna Agencija za Znanstvenoraziskovalno in Inovacijsko Dejavnost Republike Slovenije P3-0338
6 · The paper itself

Abstract

INTRODUCTION/

aimsNerve cross-sectional area (CSA) is the most robust and sensitive ultrasonographic indicator of nerve pathology. The study aimed to identify predictors of maximal CSA (CSA

methodsIn a group of prospectively recruited UNE patients, 11 demographic, clinical, and electrodiagnostic features were recorded. CSA

resultsWe studied 130 patients (94 men), aged 27-88 years (median 62 years). The only significant predictor of CSA DISCUSSION: In UNE, the main determinant of CSA

Indexed as

Cubital Tunnel SyndromeElbowUlnar NerveUlnar Nerve Compression SyndromesUlnar NeuropathiesAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedNerve Conduction StudiesNeural ConductionProspective StudiesROC Curvenerve compressionnerve cross‐sectional areanerve entrapmentulnar neuropathy at the elbowultrasonography

Identifiers

PMID42324201
PMCPMC13471758

What OpenQuestion holds

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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.