Evidence map›Paper›PMID 30698459›Full record

ArticleAnnals of the Royal College of Surgeons of England2019

Fracture admission trends in England over a ten-year period.

T Jennison, M Brinsden

Abstract read
In one paragraph

Article in Annals of the Royal College of Surgeons of England, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

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

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

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  19. The management of anticoagulated fragility femoral fracture patients.Hip international : the journal of clinical and experimental research on hip pathology and therapy · 2024
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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

2 authors.

T JennisonUniversity Hospitals Plymouth NHS Trust , UK.
M BrinsdenUniversity Hospitals Plymouth NHS Trust , UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFractures are a common reason for admission to hospital around the world. Varying incidences have been reported but these are mainly based on small studies from individual centres. The aim of our study was to analyse fracture admissions in England over a ten-year period.

methodsData were collated from the Hospital Episodes Statistics database. Since 2004, data have been collected for all admitted patients in England using the International Classification of Diseases codes for the primary diagnosis. Data were analysed for the ten-year period between 2004-2005 and 2013-2014.

resultsThere were 2,489,052 fracture admissions in England over the 10-year study period. The risk of admission for fracture was 47.84 per 10,000 population. The rate of fracture admission has remained stable. Hip fractures were the most common fracture requiring hospitalisation (n=641,263), followed by distal radius fractures (n=406,313), ankle fractures (n=332,617) and hand fractures (n=244,013). Hip fractures accounted for 58% of hospital bed days, ankle fractures for 10%, and femoral shaft fractures and subtrochanteric femoral fractures for 5% each. The number of bed days per year for hip fractures has reduced from 1,549,939 bed days in 2004-2005 to 1,319,642 in 2013-2014.

conclusionsThis study provides an updated picture of the incidence of fractures that required hospital admission over a ten-year period in England. It may be used as a platform from which the effect of modern patient treatment pathways can be monitored.

Indexed as

AdolescentAdultAgedDatabases, FactualEnglandFemaleFractures, BoneHospitalizationHospitalsHumansIncidenceMaleMiddle AgedSex DistributionYoung AdultFractureFracture incidenceHospital admission

Identifiers

PMID30698459
PMCPMC6400910

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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.