Evidence map›Paper›PMID 24932450›Full record

ReviewMuscles, ligaments and tendons journal2014

Tendon structure, disease, and imaging.

Jeffrey H Weinreb, Chirag Sheth, John Apostolakos, Mary-Beth McCarthy, Benjamin Barden, Mark P Cote, Augustus D Mazzocca

Open access · greenAbstract readReview
In one paragraph

Review in Muscles, ligaments and tendons journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
8.8field-weighted citation impact, top 2% of its field
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

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
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  11. Article
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  14. Article
  15. Review
  16. Achilles Tendinopathy Pathogenesis and Management: A Narrative Review.International journal of environmental research and public health · 2023
    Review
  17. Article
  18. Review
  19. Achilles Tendon Repair after Tenorraphy Imaging and the Doughnut Metaphor.International journal of environmental research and public health · 2023
    Article
  20. 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

7 authors at 1 institution in 1 country.

Jeffrey H WeinrebDepartment of Orthopaedic Surgery, UCONN Health Center, Farmington, USA.
Chirag ShethDepartment of Orthopaedic Surgery, UCONN Health Center, Farmington, USA.
John ApostolakosDepartment of Orthopaedic Surgery, UCONN Health Center, Farmington, USA.
Mary-Beth McCarthyDepartment of Orthopaedic Surgery, UCONN Health Center, Farmington, USA.
Benjamin BardenDepartment of Orthopaedic Surgery, UCONN Health Center, Farmington, USA.
Mark P CoteDepartment of Orthopaedic Surgery, UCONN Health Center, Farmington, USA.
Augustus D MazzoccaDepartment of Orthopaedic Surgery, UCONN Health Center, Farmington, USA.
UConn Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tendon imaging plays a critical role in evaluating tendon diseases and injuries including mechanical, degenerative, and overuse disease, inflammatory enthesitis, as well as partial and full thickness tears. Ultrasound and magnetic resonance imaging (MRI), each with unique benefits and limitations, are commonly utilized to assist in diagnosing these diseases and conditions. This review delineates important structural properties of tendon and biochemical changes occurring in tendon pathology. This review also examines commonly injured tendons including tendons of the elbow, tendons of the rotator cuff of the shoulder, hip abductor tendons, patellar tendons, and the Achilles tendon to help clinicians better recognize tendon disease. Finally, this paper introduces several emerging imaging techniques including T2 mapping, ultra-short echo time MRI, and sonoelastography as ways in which tendon imaging and evaluation may be improved.

Indexed as

imagingMagnetic Resonance Imagingtendinopathyultrasound

Identifiers

PMID24932450
PMCPMC4049653
OpenAlexW1504834989

What OpenQuestion holds

Textmetadata
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.