Evidence map›Paper›PMID 32899086›Full record

ArticleMedicine2020

Bilateral posterior fracture-dislocation of the shoulders: Two rare case reports and literature review.

Junwei Wu, Lianxin Li, Fengrui Wang, Shun Lu, Fanxiao Liu, Honglei Jia, Yongliang Yang, Fu Wang, Zhenhai Hao, Shihong Xu and 1 more

Abstract readCase Reports
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

11 authors.

Junwei WuDepartment of Orthopaedics, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324 JingWu Road, 250021, Jinan, Shandong, PR China.
Lianxin Li
Fengrui Wang
Shun Lu
Fanxiao Liu
Honglei Jia
Yongliang Yang
Fu Wang
Zhenhai Hao
Shihong Xu
Bomin Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleBilateral posterior fracture-dislocation of the shoulders occurs rarely and the diagnosis is often challenging. This injury is often missed or delayed on initial presentation, leading to continuous pain, disability, and rising medical costs. Timely diagnosis and proper treatment are very important to restore shoulder function. PATIENT CONCERNS: Here we report 2 rare cases. Case 1 was a 53-year-old physical worker with severe pain and limited shoulder movement after an unexpected fall. Case 2 was a 55-year-old man with pain in upper limbs and shoulders after an electric shock. DIAGNOSIS: Both of them were diagnosed as bilateral posterior fracture-dislocation of the shoulders by computed tomography (CT) scan.

interventionAfter systematic preoperative evaluation, both of them were treated with open reduction and internal fixation. OUTCOMES: After 16 months follow-up, case 1 was pain-free in both shoulders. He had returned to full activity and was satisfied with his level of function. At 24 months follow-up, both shoulders of case 2 were painless and stable with acceptable range of motion and he was able to carry out daily activities. LESSONS: Our case reports highlight that bilateral posterior fracture-dislocation of the shoulders is easy to be missed; one way to prevent missing diagnosis is to suspect cases with pain and limited external rotation, especially those with a history of seizures, electric shock, or severe trauma; appropriate history inquiry, physical examination, proper shoulder images are the key to correct diagnosis.

Indexed as

Fracture Fixation, InternalHumansMaleMiddle AgedOpen Fracture ReductionShoulder FracturesTomography, X-Ray Computed

Identifiers

PMID32899086
PMCPMC7478794

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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.