Evidence map›Paper›PMID 32010476›Full record

ArticleGeriatric orthopaedic surgery & rehabilitation2020

Elevated 1-Year Mortality Rate in Males Sustaining Low-Energy Proximal Femur Fractures and Subgroup Analysis Utilizing Age-Adjusted Charlson Comorbidity Index.

Kyle A Schultz, Benjamin A Westcott, Kimberly R Barber, Todd A Sandrock

Open access · goldAbstract read
In one paragraph

Article in Geriatric orthopaedic surgery & rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 25 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Kyle A SchultzDepartment of Orthopedics, Ascension Genesys Hospital, Grand Blanc, MI, USA.ORCID https://orcid.org/0000-0002-1195-8228
Benjamin A WestcottDepartment of Orthopedics, Ascension Genesys Hospital, Grand Blanc, MI, USA.
Kimberly R BarberDepartment of Clinical & Academic Research, Ascension Genesys Hospital, Grand Blanc, MI, USA.
Todd A SandrockDepartment of Orthopedics, Ascension Genesys Hospital, Grand Blanc, MI, USA.
Genesys (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLow-energy proximal femur fractures are common in the aging population and the ability to identify patients at increased mortality risk provides surgeons information to improve informed decision-making with patients and families. We evaluated for gender differences in 1-year mortality after sustaining low-energy proximal femur fractures with subgroup analysis to identify the impact of fracture location, age, and comorbidities on mortality. MATERIALS AND

methodsPatients ≥40 years of age sustaining a low-energy proximal femur fracture identified at our institution between January 1, 2014, and December 31, 2017.

resultsWomen presented with low-energy proximal femur fractures at a rate of almost 3:1 to men at our institution ( DISCUSSION: Men presenting with low-energy femur fractures are at an increased mortality risk compared to women. On average, men present with an overall worse health status as identified by ACCI, which could predispose these patients not only to fractures themselves but also impair their ability to recover from injury.

conclusionMen are at an increased 1-year mortality risk after sustaining proximal femur fractures.

Indexed as

age-adjusted Charlson comorbidity indexfragility fracturesgeriatric traumahip fracture mortalityosteoporosisproximal femur fractures

Identifiers

PMID32010476
PMCPMC6971960
OpenAlexW3002849968

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.