Evidence map›Paper›PMID 37323164›Full record

ReviewTherapeutic advances in endocrinology and metabolism2023

Fractures and dislocations of the foot and ankle in people with diabetes: a literature review.

Matthew J Johnson, Suganthi Kandasamy, Katherine M Raspovic, Kshitij Manchanda, George Tye Liu, Michael D VanPelt, Lawrence A Lavery, Dane K Wukich

Open access · goldAbstract readReview
In one paragraph

Review in Therapeutic advances in endocrinology and metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.2field-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, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Burning Issues/Hot Topics: The Charcot Foot.Journal of clinical medicine · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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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

8 authors at 1 institution in 1 country.

Matthew J JohnsonDepartment of Orthopaedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Suganthi KandasamyDepartment of Orthopaedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Katherine M RaspovicDepartment of Orthopaedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Kshitij ManchandaDepartment of Orthopaedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
George Tye LiuDepartment of Orthopaedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Michael D VanPeltDepartment of Orthopaedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Lawrence A LaveryDepartment of Orthopaedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Dane K WukichProfessor and Chair, Department of Orthopaedic Surgery, University of Texas Southwestern Medical Center, 1801 Inwood Road, Suite WA 4.312, Dallas, TX 75391, USA.ORCID https://orcid.org/0000-0002-3637-6208
The University of Texas Southwestern Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes (DM) increases fracture risk, and bone quality depends on type diabetes type, duration, and other comorbidities. Diabetes is associated with a 32% increased relative risk (RR) of total fractures and 24% increased RR of ankle fractures compared with patients without DM. Type 2 DM is associated with a 37% increased RR of foot fractures compared with patients without DM. The incidence of ankle fractures in the general population is 169/100,000 per year, while foot fractures occur less frequently, with an incidence of 142/100,000 per year. Biomechanical properties of bone are negatively impacted by stiff collagen, contributing to the increased risk of fragility fractures in patients with DM. Systemic elevation of proinflammatory cytokines, such as tumor necrosis factor-alpha (TNFα), interleukin-1β (IL-1β), and interleukin 6 (IL-6), impact bone healing in patients with DM. Fractures in patients with DM, can be associated with poorly regulated levels of RANKL (receptor activator of nuclear transcription factor kappa-b ligand) leading to prolonged osteoclastogenesis, and net bone resorption. One of the most salient factors in treating fractures and dislocations of the foot and ankle is to recognize the difference between patients with uncomplicated and complicated DM. Complicated diabetes is defined as 'end organ damage', and for the purposes of this review, includes patients with neuropathy, peripheral artery disease (PAD) and/or chronic renal disease. Uncomplicated diabetes is not associated with 'end organ damage'. Foot and ankle fractures in patients with complicated DM pose challenges, and surgery is associated with increased risks of impaired wound healing, delayed fracture healing, malunion, infection, surgical site infection, and revision surgery. While patients with uncomplicated DM can be treated like patients without DM, patients with complicated DM require close follow-up and robust fixation methods should be considered to withstand the anticipated prolonged healing period. The aims of this review are as follows: (1) to review pertinent aspects of DM bone physiology and fracture healing, (2) to review the recent literature on treatment of foot and ankle fractures in patients with complicated DM, and (3) to provide treatment protocols based on the recent published evidence.

Indexed as

anklebonecomplicationsdiabetesfootfractureinflammationsurgery

Identifiers

PMID37323164
PMCPMC10265356
OpenAlexW4379260274

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.