Evidence map›Paper›PMID 41356985›Full record

ArticleCureus2025

Retrospective Epidemiological Study of Achilles Tendon Ruptures.

Edmond F Iradukunda, Abdul Hadi Kafagi, Mustafa Farooqi, Anand Pillai

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

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

4 authors.

Edmond F IradukundaFaculty of Biology, Medicine and Health, University of Manchester, Manchester, GBR.
Abdul Hadi KafagiTrauma and Orthopaedics, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, GBR.
Mustafa FarooqiTrauma and Orthopaedics, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, GBR.
Anand PillaiTrauma and Orthopaedics, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whilst the epidemiology of Achilles tendon ruptures (ATRs) is well known in the context of other countries, not many epidemiological studies have been conducted in the UK, demonstrating the lack of recent, reliable data relevant to our population context. The approach taken was retrospective data collection of ATRs and relevant history from participants' electronic patient records (EPR), followed by a telephone interview to confirm and investigate data points not included in patient notes. From a sample of 88 participants, 76% were male, and the median age was 44. The most prevalent activity and mechanism of injury was playing football (39%), and accelerating from a stationary position (30%). ATRs were predominantly sports-related (67%), and the incidence of sports-related ATRs and total ATRs was greatest during summer (34%), followed by spring (30%). The median (IQR) age of participants with sports-related ATRs was 40.0 (35.0 - 45.5) years, compared to 65.5 (54.0 - 73.5) years for non-sports-related ATRs. In this sample, ATRs most commonly occur in middle-aged men in a sporting context during the spring and summer seasons. Non-sports-related ATR incidence is greater in older age groups. These results are consistent with both local British studies and international studies, but limitations to this study highlight the need for further research with a similar methodology and greater scale, which would aid in identifying high-risk groups that could benefit from tailored injury prevention strategies.

Indexed as

achilles tendon ruptureepidemiologypreventionretrospective audittrauma and sports injury

Identifiers

PMID41356985
PMCPMC12675312

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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.