Evidence map›Paper›PMID 35885448›Full record

ReviewDiagnostics (Basel, Switzerland)2022

High-Resolution Ultrasound of the Forefoot and Common Pathologies.

Xiangmei Chen, Guangjin Zhou, Heng Xue, Run Wang, Stephen Bird, Desheng Sun, Ligang Cui

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Accuracy of Key Sonographic Markers for Juxta-Articular Fractures: A Prospective Study Using Explainable Machine Learning.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2026
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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 3 institutions in 1 country.

Xiangmei ChenDepartment of Ultrasound, Peking University Shenzhen Hospital, Shenzhen 518036, China.
Guangjin ZhouDepartment of Radiology, Peking University Third Hospital, Beijing 100191, China.
Heng XueDepartment of Ultrasound, Peking University Third Hospital, Beijing 100191, China.
Run WangDepartment of Ultrasound, Peking University Shenzhen Hospital, Shenzhen 518036, China.
Stephen BirdBenson Radiology, Wayville 5034, Australia.
Desheng SunDepartment of Ultrasound, Peking University Shenzhen Hospital, Shenzhen 518036, China.
Ligang CuiDepartment of Ultrasound, Peking University Third Hospital, Beijing 100191, China.
Peking University Shenzhen Hospital · CNPeking University Third Hospital · CNPeking University · CN

Funding

National Natural Science Foundation of China 81871363Shenzhen Municipal Health Commission SZXJ2018083
6 · The paper itself

Abstract

Forefoot pain is common in clinical practice. Careful history taking and routine physical examination are initially performed for diagnosis, but imaging can confirm the clinical suspicion and play a key role in management. Ultrasound (US) can provide a visualization of the fine anatomy of the forefoot and is a useful method for evaluating various lesions causing forefoot pain. In this review, we provide the detailed anatomical structures of the forefoot and their normal appearances on US. We also focus on the most common pathologies affecting the forefoot, including plantar plate tear, sesamoiditis, bone fracture, synovitis, tenosynovitis, bursitis, Morton's neuromas, and foreign bodies.

Indexed as

bone fracturebursitisforefoot ultrasoundforeign bodiesMorton’s neuromasplantar plate tearsesamoiditissynovitistenosynovitis

Identifiers

PMID35885448
PMCPMC9322853
OpenAlexW4283457199

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.