Evidence map›Paper›PMID 26486129›Full record

ArticleDer Unfallchirurg2015

[Identification, diagnostics and guideline conform therapy of osteoporosis (DVO) in trauma patients : a treatment algorithm].

C Neuerburg, R Schmidmaier, S Schilling, C Kammerlander, W Böcker, W Mutschler, U Stumpf

Abstract read
PubMed Publisher
In one paragraph

Article in Der Unfallchirurg, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Incidence of fractures in patients with type 1 diabetes mellitus-a retrospective study with 4420 patients.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2020
    Article
  4. Article
  5. Article
  6. Review
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 at 1 institution in 2 countries.

C NeuerburgKlinik für Allgemeine, Unfall-, Hand- und Plastische Chirurgie, Osteologisches Schwerpunktzentrum (DVO), Klinikum der Ludwig-Maximilians-Universität München, Campus Innenstadt, Nußbaumstr. 20, 80336, München, Deutschland. carl.neuerburg@med.uni-muenchen.de.
R SchmidmaierMedizinische Klinik und Poliklinik IV, Osteologisches Schwerpunktzentrum (DVO), Klinikum der LMU München, München, Deutschland.
S SchillingKlinik für Allgemeine, Unfall-, Hand- und Plastische Chirurgie, Osteologisches Schwerpunktzentrum (DVO), Klinikum der Ludwig-Maximilians-Universität München, Campus Innenstadt, Nußbaumstr. 20, 80336, München, Deutschland.
C KammerlanderKlinik für Allgemeine, Unfall-, Hand- und Plastische Chirurgie, Osteologisches Schwerpunktzentrum (DVO), Klinikum der Ludwig-Maximilians-Universität München, Campus Innenstadt, Nußbaumstr. 20, 80336, München, Deutschland.
W BöckerKlinik für Allgemeine, Unfall-, Hand- und Plastische Chirurgie, Osteologisches Schwerpunktzentrum (DVO), Klinikum der Ludwig-Maximilians-Universität München, Campus Innenstadt, Nußbaumstr. 20, 80336, München, Deutschland.
W MutschlerKlinik für Allgemeine, Unfall-, Hand- und Plastische Chirurgie, Osteologisches Schwerpunktzentrum (DVO), Klinikum der Ludwig-Maximilians-Universität München, Campus Innenstadt, Nußbaumstr. 20, 80336, München, Deutschland.
U StumpfKlinik für Allgemeine, Unfall-, Hand- und Plastische Chirurgie, Osteologisches Schwerpunktzentrum (DVO), Klinikum der Ludwig-Maximilians-Universität München, Campus Innenstadt, Nußbaumstr. 20, 80336, München, Deutschland.
Ludwig-Maximilians-Universität München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoporosis-associated fractures are of increasing importance in trauma surgery. The implementation of systematic diagnostics and treatment of osteoporosis during hospitalization, however, remains insufficient; therefore, a specific algorithm for the diagnosis and treatment of osteoporosis in trauma surgery patients was developed based on the German Osteology Society (Dachverband Osteologie, DVO) guidelines for osteoporosis from 2014. In a first step, the individual patient age and risk profile for osteoporosis are identified considering specific fractures indicative of osteoporosis. For these patients a questionnaire is completed which detects specific risk factors. In addition, the physical activity, risk of falls, dietary habits and the individual medication are collated as these can have a decisive influence on the subsequent therapy decisions. Prior to a specific treatment, laboratory osteoporosis tests, bone densitometry by dual energy X-ray absorptiometry (DXA) and if needed X-rays of the spine are carried out. For proximal femoral fractures the treatment of osteoporosis could already be indicated. With pre-existing glucocorticoid therapy, a history of previous fractures or other risk factors according to the risk questionnaire, the threshold of treatment has to be adjusted according to the table of T-scores detected by DXA. The treatment algorithm for diagnostics and treatment of osteoporosis in hospitalized trauma surgery patients can systematically and efficiently improve the identification of patients at risk. Thus, further fractures associated with osteoporosis or failure of internal fixation could be reduced in future. A prospective validation of the algorithm has already be initiated.

Indexed as

AlgorithmsPractice Guidelines as TopicClinical Decision-MakingGermanyGuideline AdherenceHumansOsteoporosisOsteoporotic FracturesRisk AssessmentFemoral fractureFragility fractureOsteoporosisTreatment algorithmT values

Identifiers

PMID26486129
OpenAlexW1755902854

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.