Evidence map›Paper›PMID 31183352›Full record

ReviewWorld journal of clinical cases2019

Multiple rare causes of post-traumatic elbow stiffness in an adolescent patient: A case report and review of literature.

Bai-Qi Pan, Jun Huang, Jiang-Dong Ni, Ming-Ming Yan, Qin Xia

Open access · diamondAbstract readReview
In one paragraph

Review in World journal of clinical cases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

5 authors at 1 institution in 1 country.

Bai-Qi PanDepartment of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China.
Jun HuangDepartment of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China. 505447@csu.edu.cn.
Jiang-Dong NiDepartment of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China.
Ming-Ming YanDepartment of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China.
Qin XiaDepartment of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundJoint stiffness after elbow surgery is not a rare complication, and is always accompanied by deformity. The causes of joint stiffness are multiple in different patients, and divided into intrinsic and extrinsic causes. Herein, we report an unusual case of posttraumatic elbow stiffness due to multiple and rare causes. CASE SUMMARY: A 19-year-old male was hospitalized with the loss of motion of the left elbow for over ten years. Left limb computed tomography revealed left elbow stiffness with bony block and connection. The patient underwent surgery, and the etiology of joint stiffness was found to be a rare combination of common and uncommon causes. During an 18-mo follow-up period, the patient's left elbow had normal motion and he was symptom-free.

conclusionHowever, this case combined with multiple and rare causes highlights that the patient with scar physique is likely to be accompanied with more severe soft tissue, nerve contracture, and heterotypic ossification, even during recurrence.

Indexed as

Case reportContractureElbow stiffnessOpen surgeryPost-traumaticRadial nerveScarUlnar neuritis

Identifiers

PMID31183352
PMCPMC6547331
OpenAlexW2946145357

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.