Evidence map›Paper›PMID 38768051›Full record

ArticleJournal of the American Academy of Orthopaedic Surgeons. Global research & reviews2024

Fractures in Patients With Diabetes Mellitus: Findings From a 20-year Registry at a Single Level 1 Trauma Center.

Matthew T Hoffa, Ryan J Furdock, Tyler J Moon, Abigail Bacharach, Isabella M Heimke, Heather A Vallier

Abstract read
In one paragraph

Article in Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Matthew T HoffaFrom the MetroHealth Medical Center, Case Western Reserve University, Cleveland, OH.
Ryan J Furdock
Tyler J Moon
Abigail Bacharach
Isabella M Heimke
Heather A VallierORCID 0000-0003-3881-6518

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDiabetes mellitus (DM) is a risk factor of infection. Although DM has been associated with worse functional outcomes after acetabular fracture, literature regarding the effect of DM on surgical site infection and other early complications is lacking.

methodsA 20-year registry from a level 1 trauma center was queried to identify 134 patients with DM and 345 nondiabetic patients with acetabular fractures.

resultsThe diabetic patient population was older (57.2 versus 43.2; P < 0.001) and had higher average body mass index (33.6 versus 29.5; P < 0.001). Eighty-three patients with DM and 270 nondiabetics were treated surgically (62% versus 78%; P < 0.001). Diabetic patients who were younger (54.6 versus 61.4; P = 0.01) with fewer comorbidities (1.7 versus 2.2; P = 0.04) were more frequently managed surgically. On univariate analysis, patients with DM more commonly developed any early infection (28.4% versus 21%; P = 0.049) but were no more likely to develop surgical site infection, or other postoperative complications. Older patient age, length of stay, baseline pulmonary disease, and concurrent abdominal injury were independent predictors of postoperative infection other than surgical site infection. Diabetics that developed infection had more comorbidities (2.4 versus 1.5; P < 0.001) and higher Injury Severity Score (24.1 versus 15.8; P = 0.003), and were more frequently insulin-dependent (72.7% versus 41%; P = 0.01). DISCUSSION: Independent of management strategy, diabetic patients were more likely to develop an infection after acetabular fracture. Insulin dependence was associated with postoperative infection on univariate analysis. Optimal selection of surgical candidates among patients with DM may limit postoperative infections.

Indexed as

AcetabulumFractures, BoneRegistriesSurgical Wound InfectionTrauma CentersAdultAgedDiabetes ComplicationsDiabetes MellitusFemaleHumansMaleMiddle AgedRetrospective StudiesRisk Factors

Identifiers

PMID38768051
PMCPMC11068150

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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.