Evidence map›Paper›PMID 40029096›Full record

ArticleActa orthopaedica2025

Incidence, treatment, and mortality of ankle fractures: a Danish population-based cohort study.

Per H Gundtoft, Alma B Pedersen, Bjarke Viberg

Abstract read
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Article in Acta orthopaedica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–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

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Per H GundtoftOrthopedic Department, Aarhus University Hospital; Department of Orthopedic Surgery, Kolding Hospital, Denmark. pergun@rm.dk.ORCID 0000-0002-3688-6865
Alma B PedersenDepartment of Clinical Epidemiology, Aarhus University Hospital; Department of Clinical Medicine, Aarhus University, Denmark.ORCID 0000-0002-3288-9401
Bjarke VibergDepartment of Orthopedic Surgery, Kolding Hospital; Department of Orthopaedic Surgery and Traumatology, Odense University Hospital; Department of Clinical Research, University of Southern Denmark, Denmark.ORCID 0000-0001-5169-4282

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposePrevious studies have shown large variation in the incidence of ankle fractures. Nationwide data covering longer periods is necessary to gain knowledge of the current trends. The aim of this study was to describe the trends in incidence, treatment, and mortality of ankle fracture during a 20-year period.

methodsAnkle fractures in patients ≥ 18 years old were identified in the Danish National Patient Register using the validated diagnosis and surgical procedure codes for ankle fractures. Incidence rates per 100,000 and incidence rate ratio (IRR) are reported with 95% confidence intervals (CI).

resultsWe identified 155,740 ankle fractures. The overall mean incidence rate during the period 1997-2018 was 164 (CI 163-165) per 100,000 person-years, being 154 (CI 152-155) for men and 203 (CI 202-205) for women. The incidence rate increased from 155 (CI 131-179) during 1997-2006 to 173 (CI 147-199) during 2007-2018, corresponding to an IRR of 1.12 (CI 1.10-1.12). This increase was primarily driven by an increase in women, with an IRR of 1.21 (CI 1.20-1.23) and for patients above 50 years, with an IRR of 1.22 (CI 1.08-1.10). The proportion of patients surgically treated increased from 21% in 1997-2006 to 25% in 2007-2018. The 1-year mortality risk was higher for patients above 65 years with an ankle fracture compared with the general population of the same age, with an IRR of 1.47 (CI 1.42-1.53).

conclusionThe incidence of ankle fracture increased from 1997 to 2018, primarily due to an increased incidence in women and in the elderly population. The proportion of surgically treated patients increased from 21% to 26%. Excess mortality after ankle fracture in patients above 65 years was observed.

Indexed as

Ankle FracturesAdolescentAdultAgedAged, 80 and overCohort StudiesDenmarkFemaleHumansIncidenceMaleMiddle AgedRegistriesYoung Adult

Identifiers

PMID40029096
PMCPMC11868812

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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.