Evidence map›Paper›PMID 35906542›Full record

ArticleInternational journal of emergency medicine2022

Isolated sternal fracture after low-energy trauma in a geriatric patient: a case report.

Joni J Sairanen, Otso Arponen

Open access · goldAbstract read
In one paragraph

Article in International journal of emergency medicine, 2022. 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 46% 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

2 authors at 2 institutions in 1 country.

Joni J SairanenEmergency Department, Tampere University Hospital, Tampere, Finland.
Otso ArponenDepartment of Radiology, Tampere University Hospital, Tampere, Finland. otso.arponen@tuni.fi.
Tampere University · FITampere University Hospital · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFalls are a common cause of emergency department (ED) visits for the older population. If osteoporosis is present, even falls from standing height can lead to unusual fractures normally associated with high-energy trauma. In this report, we analyze a rare case of an isolated sternal fracture with an unusual mechanism of injury. Our discussion aims to improve care for older adults with fall-related fractures. CASE PRESENTATION: An 86-year-old female presented in the ED of our hospital with a complaint of chest pain. She recalled a fall at home the previous day and described how her fist was impacted between the floor and her chest. A physical examination revealed local tenderness in the mid-chest. A lateral chest x-ray indicated a sternal fracture, and a chest computed tomography scan ruled out concomitant injuries. There were no acute changes on her electrocardiogram (ECG). Conservative outpatient treatment was started, and referrals were made with a recommendation to initiate fall prevention measures and osteoporosis screening in primary health care.

conclusionsGeriatric patients can present in the ED with a rare sternal fracture even after only a minor chest trauma. Appropriate imaging and an ECG are warranted to exclude life-threatening additional injuries. An in-depth physical examination and an understanding of the exact mechanism of injury are important to avoid missing fractures in unexpected locations. Modern ED physicians could have an important role in the secondary prevention of fall-related fractures for geriatric patients.

Indexed as

Case reportFallsOsteoporosisSternal fractureTrauma imaging

Identifiers

PMID35906542
PMCPMC9338590
OpenAlexW4288714696

What OpenQuestion holds

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LicenceCC BY
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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.