Evidence map›Paper›PMID 25822373›Full record

ArticlePloS one2015

Hip fracture in the elderly: a re-analysis of the EPIDOS study with causal Bayesian networks.

Pascal Caillet, Sarah Klemm, Michel Ducher, Alexandre Aussem, Anne-Marie Schott

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 35 citations in OpenAlex.

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  6. Handgrip strength as a predictor of 1‑year mortality after hip fracture surgery in the Colombian Andes Mountains.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
    Article
  7. Article
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  9. What Do Older Canadians Think They Need to Walk Well?Physiotherapy Canada. Physiotherapie Canada · 2023
    Article
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  11. Prognostic factors of in-hospital complications after hip fracture surgery: a scoping review.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2019
    Article
  12. Article
  13. Networking analysis on superior vena cava arrhythmogenicity in atrial fibrillation.International journal of cardiology. Heart & vasculature · 2019
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  14. Article
  15. Gait speed and one-leg standing time each add to the predictive ability of FRAX.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

5 authors at 4 institutions in 1 country.

Pascal CailletHospices Civils de Lyon, Pôle Information Médicale Evaluation Recherche, Lyon, France; Université de Lyon, Université Lyon 1, Lyon, France; INSERM U1033, Lyon, France.
Sarah KlemmLIRIS UMR 5205 CNRS, Data Mining & Machine Learning (DM2L) Team, Université Claude Bernard Lyon 1, Bâtiment Nautibus, Villeurbanne, France.
Michel DucherHospices Civils de Lyon, Groupement Hospitalier de Gériatrie, Francheville, France.
Alexandre AussemLIRIS UMR 5205 CNRS, Data Mining & Machine Learning (DM2L) Team, Université Claude Bernard Lyon 1, Bâtiment Nautibus, Villeurbanne, France.
Anne-Marie SchottHospices Civils de Lyon, Pôle Information Médicale Evaluation Recherche, Lyon, France; Université de Lyon, Université Lyon 1, Lyon, France; INSERM U1033, Lyon, France.
Centre National de la Recherche Scientifique · FRHospices Civils de Lyon · FRInserm · FRUniversité Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesHip fractures commonly result in permanent disability, institutionalization or death in elderly. Existing hip-fracture predicting tools are underused in clinical practice, partly due to their lack of intuitive interpretation. By use of a graphical layer, Bayesian network models could increase the attractiveness of fracture prediction tools. Our aim was to study the potential contribution of a causal Bayesian network in this clinical setting. A logistic regression was performed as a standard control approach to check the robustness of the causal Bayesian network approach.

settingEPIDOS is a multicenter study, conducted in an ambulatory care setting in five French cities between 1992 and 1996 and updated in 2010. The study included 7598 women aged 75 years or older, in which fractures were assessed quarterly during 4 years. A causal Bayesian network and a logistic regression were performed on EPIDOS data to describe major variables involved in hip fractures occurrences.

resultsBoth models had similar association estimations and predictive performances. They detected gait speed and mineral bone density as variables the most involved in the fracture process. The causal Bayesian network showed that gait speed and bone mineral density were directly connected to fracture and seem to mediate the influence of all the other variables included in our model. The logistic regression approach detected multiple interactions involving psychotropic drug use, age and bone mineral density.

conclusionBoth approaches retrieved similar variables as predictors of hip fractures. However, Bayesian network highlighted the whole web of relation between the variables involved in the analysis, suggesting a possible mechanism leading to hip fracture. According to the latter results, intervention focusing concomitantly on gait speed and bone mineral density may be necessary for an optimal prevention of hip fracture occurrence in elderly people.

Indexed as

AgedAged, 80 and overAlgorithmsBayes TheoremBone DensityCohort StudiesFemaleFranceGaitHip FracturesHumansLogistic ModelsPsychotropic DrugsRisk FactorsPsychotropic Drugs

Identifiers

PMID25822373
PMCPMC4378915
OpenAlexW1976696506

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.