Evidence map›Paper›PMID 38972677›Full record

ReviewHand clinics2024

Advances in Imaging of Compressive Neuropathies.

Elizabeth A Graesser, Matthew S Parsons, Christopher J Dy, David M Brogan

Abstract readReview
In one paragraph

Review in Hand clinics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Advances in Imaging of Traumatic Nerve Injuries.The Journal of the American Academy of Orthopaedic Surgeons · 2025
    Review
  3. Review
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.

Elizabeth A GraesserDepartment of Orthopaedic Surgery, Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, St Louis, MO 63110, USA.
Matthew S ParsonsDivision of Diagnostic Radiology, Section of Neuroradiology, Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, 510 South Kingshighway Boulevard, St Louis, MO 63110, USA.
Christopher J DyDivision of Hand and Microsurgery, Department of Orthopaedic Surgery, Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, St Louis, MO 63110, USA.
David M BroganDivision of Hand and Microsurgery, Department of Orthopaedic Surgery, Washington University School of Medicine in St. Louis, 660 South Euclid Avenue, St Louis, MO 63110, USA. Electronic address: brogand@wustl.edu.

Funding

Identification and Imaging of Skeletal Muscle Response to Graded Nerve CrushK08AR080260 · NIAMS · WASHINGTON UNIVERSITY · PI BROGAN, DAVID MICAH · 2022 to 2025
$624k
NIAMS NIH HHS K08 AR080260
6 · The paper itself

Abstract

Ultrasound and magnetic resonance neurography are useful modalities to aid in the assessment of compressive neuropathies, although they are still limited in their resolution of nerve microstructure and their capacity to monitor postoperative nerve recovery. Optical coherence tomography, a preclinical imaging modality, is promising in its ability to better identify structural and potential physiologic changes to peripheral nerves, but requires additional testing and research prior to widespread clinical implementation. Further advances in nerve imaging may elucidate the ability to visualize the zone of nerve injury intraoperatively, monitor the progression of nerve regeneration, and localize problems during nerve recovery.

Indexed as

Magnetic Resonance ImagingNerve Compression SyndromesTomography, Optical CoherenceHumansUltrasonographyCompressive neuropathyMagnetic resonance neurographyNerve imagingPeripheral nerveUltrasound

Identifiers

PMID38972677
PMCPMC12145196

What OpenQuestion holds

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LicenceTDM
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.