Evidence map›Paper›PMID 28744600›Full record

ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2017

Excess of all-cause mortality after a fracture in type 2 diabetic patients: a population-based cohort study.

D Martinez-Laguna, X Nogues, B Abrahamsen, C Reyes, C Carbonell-Abella, A Diez-Perez, D Prieto-Alhambra

Abstract readMulticenter Study
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, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Review
  9. Bone Health in Patients With Type 2 Diabetes.Journal of the Endocrine Society · 2024
    Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Type 2 Diabetes Mellitus and Vertebral Fracture Risk.Current osteoporosis reports · 2021
    Review
  16. Article
  17. Article
  18. Article
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

7 authors.

D Martinez-LagunaGREMPAL Research Group, Idiap Jordi Gol Primary Care Research Institute, CIBERFES ISCIII, Universitat Autonoma de Barcelona, Barcelona, Spain.
X NoguesInternal Medicine Department IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
B AbrahamsenDepartment of Medicine, Holbæk Hospital, Holbæk, Denmark.
C ReyesGREMPAL Research Group, Idiap Jordi Gol Primary Care Research Institute, CIBERFES ISCIII, Universitat Autonoma de Barcelona, Barcelona, Spain.
C Carbonell-AbellaGREMPAL Research Group, Idiap Jordi Gol Primary Care Research Institute, CIBERFES ISCIII, Universitat Autonoma de Barcelona, Barcelona, Spain.
A Diez-PerezInternal Medicine Department IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
D Prieto-AlhambraGREMPAL Research Group, Idiap Jordi Gol Primary Care Research Institute, CIBERFES ISCIII, Universitat Autonoma de Barcelona, Barcelona, Spain. Daniel.prietoalhambra@ndorms.ox.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-fracture mortality in type 2 diabetes mellitus (T2DM) patients has been poorly studied. We report an absolute and relative excess all-cause mortality following a fracture in these patients compared to non-diabetic patients.

introductionT2DM and osteoporotic fractures are independently associated with a reduced lifespan, but it is unknown if T2DM confers an excess post-fracture mortality compared to non-diabetic fracture patients. We report post-fracture all-cause mortality according to T2DM status.

methodsThis is a population-based cohort study using data from the SIDIAP database. All ≥50 years old T2DM patients registered in SIDIAP in 2006-2013 and two diabetes-free controls matched on age, gender, and primary care center were selected. Study outcome was all-cause mortality following incident fractures. Participants were followed from date of any fracture (AF), hip fracture (HF), and clinical vertebral fracture (VF) until the earliest of death or censoring. Cox regression was used to calculate mortality according to T2DM status after adjustment for age, gender, body mass index, smoking, alcohol intake, and previous ischemic heart and cerebrovascular disease.

resultsWe identified 166,106 T2DM patients and 332,212 non-diabetic, of which 11,066 and 21,564, respectively, sustained a fracture and were then included. Post-fracture mortality rates (1000 person-years) were (in T2DM vs non-diabetics) 62.7 vs 49.5 after AF, 130.7 vs 112.7 after HF, and 54.9 vs 46.2 after VF. Adjusted HR (95% CI) for post-AF, post-HF, and post-VF mortality was 1.30 (1.23-1.37), 1.28 (1.20-1.38), and 1.20 (1.06-1.35), respectively, for T2DM compared to non-diabetics.

conclusionsT2DM patients have a 30% increased post-fracture mortality compared to non-diabetics and a remarkable excess in absolute mortality risk. More research is needed on the causes underlying such excess risk, and on the effectiveness of measures to reduce post-fracture morbi-mortality in T2DM subjects.

Indexed as

AgedAged, 80 and overCohort StudiesDatabases, FactualDiabetes Mellitus, Type 2FemaleHip FracturesHumansKaplan-Meier EstimateMaleMiddle AgedOsteoporotic FracturesRisk AssessmentSpainSpinal FracturesTime FactorsEpidemiologyGeneral population studiesMortalityOsteoporotic fractureType 2 diabetes mellitus

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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.