Evidence map›Paper›PMID 29996842›Full record

ArticleBMC musculoskeletal disorders2018

Deep vein thrombosis following the treatment of lower limb pathologic bone fractures - a comparative study.

Mihail-Lazar Mioc, Radu Prejbeanu, Dinu Vermesan, Horia Haragus, Marius Niculescu, Daniel Laurentiu Pop, Andrei Dan Balanescu, Daniel Malita, Bogdan Deleanu

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC musculoskeletal disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Fatal heart disease in patients with bone and soft tissue sarcoma.Frontiers in cardiovascular medicine · 2022
    Article
  4. Article
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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

9 authors at 2 institutions in 1 country.

Mihail-Lazar MiocTimisoara Emergency Clinical County Hospital, Liviu Rebreanu Bvd, No 156, 300723, Timisoara, Romania.
Radu Prejbeanu"Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Square, No 2, 300041, Timisoara, Romania.
Dinu Vermesan"Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Square, No 2, 300041, Timisoara, Romania.
Horia Haragus"Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Square, No 2, 300041, Timisoara, Romania.
Marius Niculescu"Titu Maiorescu" University, Dambovnicului Str, No 22, District 4, Bucharest, Romania.
Daniel Laurentiu PopTimisoara Emergency Clinical County Hospital, Liviu Rebreanu Bvd, No 156, 300723, Timisoara, Romania.
Andrei Dan BalanescuTimisoara Emergency Clinical County Hospital, Liviu Rebreanu Bvd, No 156, 300723, Timisoara, Romania.
Daniel Malita"Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Square, No 2, 300041, Timisoara, Romania. d.malita@gmail.com.
Bogdan Deleanu"Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Square, No 2, 300041, Timisoara, Romania.
Victor Babeș University of Medicine and Pharmacy Timișoara · ROTitu Maiorescu University · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeep vein thrombosis is a well-known complication of fracture occurrence, lower limb surgery and periods of prolonged immobilisation. Its incidence can be increased even more in specific cases with metastatic bone disease and adjuvant treatment. There is a small amount of literature that addresses the incidence of DVT by comparing osteosynthesis and arthroplasty as surgical treatments. Current recommended anticoagulation protocols might be inadequate for specific groups of cancer patients undergoing osteosynthesis or arthroplasty.

methodsThe study was designed and performed in a retrospective manner and carried out on patients that presented at our Emergency Clinical County Hospital between 01.01.2008-31.12.2016. The patients' evolution was followed for a standard of 2 months. All our deep vein thrombosis events were diagnosed via venous duplex imaging. The studied lot (n = 85) was paired with a control group (n = 170) with similar baseline characteristics.

resultsOur lot was comprised of 85 patients that underwent 85 surgeries, on both of our hospital's Orthopaedic and Traumatology wards. When performing the student t-test and calculating OR (odds ratio) and RR (risk ratio) we encountered 11 cases of DVT in our studied group and 12 cases of DVT in our control group (p < 0.04). We found statistical significance when correlating DVT with type of implant (prosthesis), the presence of metastases over primary tumour and the choice of implant (prosthesis over intramedullary nail). There was no statistical significance found when correlating DVT events with the type of anticoagulation and the amount of blood transfusion units required.

conclusionPatients who undergo surgical treatment for lower limb pathological fracture due to malignancy are at increased risk of DVT or death due to PE under current general thromboprophylaxis regimens. The risk is higher for the immediate postoperative period (10 days). The risk is increased by metastasis, arthroplasty and adjuvant therapy (radiotherapy, chemotherapy), and we think that a more aggressive prophylactic protocol should be used.

Indexed as

AdultAgedAged, 80 and overBone NeoplasmsEmergency Service, HospitalFemaleFemoral Neck FracturesFractures, SpontaneousHumansLower ExtremityMaleMiddle AgedPostoperative ComplicationsRetrospective StudiesTibial FracturesTreatment OutcomeAnticoagulation protocolDeep vein thrombosisMusculoskeletal tumourPathologic bone fracture

Identifiers

PMID29996842
PMCPMC6042243
OpenAlexW2881693458

What OpenQuestion holds

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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.