Evidence map›Paper›PMID 32140738›Full record

ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2020

Hip fractures and characteristics of living area: a fine-scale spatial analysis in France.

R Héquette-Ruz, J-B Beuscart, G Ficheur, E Chazard, E Guillaume, J Paccou, F Puisieux, M Genin

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Higher latitude and lower solar radiation influence on hip fracture admissions in Chilean older population.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2021
    Article
  3. Regional and gender-specific analyses give new perspectives for secular trend in hip fracture incidence.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2021
    Observational
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 3 institutions in 1 country.

R Héquette-RuzCHU Lille, Geriatrics department, F-59000, Lille, France.
J-B BeuscartCHU Lille, Geriatrics department, F-59000, Lille, France. jean-baptiste.beuscart@univ-lille.fr.ORCID http://orcid.org/0000-0002-0734-8371
G FicheurUniv. Lille, ULR 2694 - METRICS : Évaluation des technologies de santé et des pratiques médicales, F-59000, Lille, France.
E ChazardUniv. Lille, ULR 2694 - METRICS : Évaluation des technologies de santé et des pratiques médicales, F-59000, Lille, France.
E GuillaumeU1086 INSERM, Université Caen Normandie-UFR Santé, Caen, France.
J PaccouMABLab UR 4490, Department of Rheumatology, Univ. Lille, CHU Lille, 59000, Lille, France.
F PuisieuxCHU Lille, Geriatrics department, F-59000, Lille, France.
M GeninUniv. Lille, ULR 2694 - METRICS : Évaluation des technologies de santé et des pratiques médicales, F-59000, Lille, France.
Université de Lille · FRCentre Hospitalier Universitaire de Lille · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the association between hip fracture incidence and living area characteristics in France. The spatial distribution of hip fracture incidence was heterogeneous and there was a significant relationship between social deprivation, urbanization, health access, and hip fracture risk.

introductionSeveral studies have shown great disparities in spatial repartition of hip fractures (HF). The aim of the study was to analyze the association between HF incidence and characteristics of the living area.

methodsAll patients aged 50 or older, living in France, who were hospitalized for HF between 2012 and 2014 were included, using the French national hospital discharge database. Standardized incidence ratio (SIR) was calculated for each spatial unit and adjusted on age and sex. An ecological regression was performed to analyze the association between HF standardized incidence and ecological variables. We adjusted the model for neighborhood spatial structure. We used three variables to characterize the living areas: a deprivation index (French-EDI); healthcare access (French standardized index); land use (percentage of artificialized surfaces).

resultsA total of 236,328 HF were recorded in the French hospital national database, leading to an annual HF incidence of 333/100,000. The spatial analysis revealed geographical variations of HF incidence with SIR varying from 0.67 (0.52; 0.85) to 1.45 (1.23; 1.70). There was a significant association between HF incidence rates and (1) French-EDI (trend p = 0.0023); (2) general practitioner and nurse accessibility (trend p = 0.0232 and p = 0.0129, respectively); (3) percentage of artificialized surfaces (p < 0.0001).

conclusionThe characteristics of the living area are associated with significant differences in the risk of hip fracture of older people.

Indexed as

Hip FracturesAgedAged, 80 and overFranceHumansIncidenceMiddle AgedResidence CharacteristicsSpatial AnalysisEcological factorsElderlyHip fractureSpatial regression

Identifiers

PMID32140738
OpenAlexW3009751404

What OpenQuestion holds

Textmetadata
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.