Evidence map›Paper›PMID 28623255›Full record

ArticleScientific reports2017

Quantitative modelling of hip fracture trends in 14 European countries: testing variations of a shared reversal over time.

Raquel Lucas, Ana Martins, Milton Severo, Poliana Silva, Teresa Monjardino, Ana Rita Gaio, Cyrus Cooper, Henrique Barros

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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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

12 citing papers in PubMed.

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  12. Identification and management of patients at increased risk of osteoporotic fracture: outcomes of an ESCEO expert consensus meeting.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2017
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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.

Raquel LucasEPIUnit - Institute of Public Health, University of Porto, Porto, Portugal. rlucas@med.up.pt.
Ana MartinsEPIUnit - Institute of Public Health, University of Porto, Porto, Portugal.
Milton SeveroEPIUnit - Institute of Public Health, University of Porto, Porto, Portugal.
Poliana SilvaEPIUnit - Institute of Public Health, University of Porto, Porto, Portugal.
Teresa MonjardinoEPIUnit - Institute of Public Health, University of Porto, Porto, Portugal.ORCID 0000-0003-4944-3366
Ana Rita GaioDepartment of Mathematics, Faculty of Sciences, University of Porto and Centre of Mathematics of the University of Porto, Porto, Portugal.
Cyrus CooperMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK.
Henrique BarrosEPIUnit - Institute of Public Health, University of Porto, Porto, Portugal.

Funding

Medical Research Council G0400491Medical Research Council MC_U147585819Medical Research Council MC_U147585824Medical Research Council MC_U147585827Medical Research Council MC_UP_A620_1014Medical Research Council MC_UU_12011/1
6 · The paper itself

Abstract

Qualitative similarities between hip fracture trends in different countries suggests variations of the same epidemic. We tested a single statistical shape to describe time trends in Europe, while allowing for country-level variability. Using data from 14 countries, we modelled incidence rates over time using linear mixed-effects models, including the fixed effects of calendar year and age. Random effects were tested to quantify country-level variability in background rates, timing of trend reversal and tempo of reversal. Mixture models were applied to identify clusters of countries defined by common behavioural features. A quadratic function of time, with random effects for background rates and timing of trend reversal, adjusted well to the observed data. Predicted trend reversal occurred on average in 1999 in women (peak incidence about 600 per 100 000) and 2000 in men (about 300 per 100 000). Mixture modelling of country-level effects suggested three clusters for women and two for men. In both sexes, Scandinavia showed higher rates but earlier trend reversals, whereas later trend reversals but lower peak incidences were found in Southern Europe and most of Central Europe. Our finding of a similar overall reversal pattern suggests that different countries show variations of a shared hip fracture epidemic.

Indexed as

Models, BiologicalSex CharacteristicsEuropeFemaleHip FracturesHumansIncidenceMale

Identifiers

PMID28623255
PMCPMC5473829

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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.