Evidence map›Paper›PMID 42433827›Full record

ReviewAnnals of medicine and surgery (2012)2026

Pillar pain after carpal tunnel release: an evidence-based review of pathophysiology, diagnostic strategies, and a structured clinical decision-making framework.

Aidin Arabzadeh, Seyyed Saeed Khabiri, Seyyed Hadi Kalantar, Omid Salkhori, Hadi Jahanbin, Rasool Poornasir, Alireza Talebi, Saba Zahedpour, Hamed Naghizadeh

Abstract readReview
In one paragraph

Review in Annals of medicine and surgery (2012), 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

9 authors.

Aidin ArabzadehJoint Reconstruction Research Center, Department of Orthopedics, Tehran University of Medical Sciences, Tehran, Iran.
Seyyed Saeed KhabiriJoint Reconstruction Research Center, Department of Orthopedics, Tehran University of Medical Sciences, Tehran, Iran.
Seyyed Hadi KalantarJoint Reconstruction Research Center, Department of Orthopedics, Tehran University of Medical Sciences, Tehran, Iran.
Omid SalkhoriJoint Reconstruction Research Center, Department of Orthopedics, Tehran University of Medical Sciences, Tehran, Iran.
Hadi JahanbinJoint Reconstruction Research Center, Department of Orthopedics, Tehran University of Medical Sciences, Tehran, Iran.
Rasool PoornasirJoint Reconstruction Research Center, Department of Orthopedics, Tehran University of Medical Sciences, Tehran, Iran.
Alireza TalebiJoint Reconstruction Research Center, Department of Orthopedics, Tehran University of Medical Sciences, Tehran, Iran.
Saba ZahedpourDepartment of Occupational Therapy, School of Rehabilitation Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Hamed NaghizadehJoint Reconstruction Research Center, Department of Orthopedics, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0009-0007-1691-5554

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pillar pain is a frequent, yet often overlooked, complication after carpal tunnel release (CTR). Although usually self-limiting, it can persist and interfere with recovery, hand function, and patient satisfaction. The pain typically localizes to the thenar and hypothenar regions and arises from a combination of inflammatory, biomechanical, and neurogenic factors. Diagnostic imaging and electrodiagnostic studies (EDS) mainly serve to rule out other conditions rather than confirm pillar pain directly. Conservative management through rehabilitation and individualized physical therapy remains the first-line approach, focusing on restoring mobility, strength, and comfort. If symptoms persist beyond 6 months despite these measures, surgical or interventional treatments may be considered. Chronic pillar pain may also be influenced by psychological and central sensitization mechanisms, highlighting the need for a holistic evaluation. Emerging technologies, particularly artificial intelligence and machine learning, show promise in improving risk stratification, intraoperative nerve preservation, and the prediction of postoperative outcomes. This review proposes a structured, stepwise management algorithm, guiding clinicians from early conservative care to advanced interventions when necessary. Future research should aim to validate predictive models, clarify neurogenic mechanisms, and establish standardized, evidence-based rehabilitation protocols to enhance recovery and optimize outcomes for patients experiencing pillar pain after CTR.

Indexed as

artificial intelligencecarpal tunnel releaseclinical decision-makingmachine learningmedian nervepillar painrehabilitation

Identifiers

PMID42433827
PMCPMC13354388

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.