Evidence map›Paper›PMID 31367841›Full record

ArticleDer Unfallchirurg2019

[Perioperative management of trauma surgery patients treated with direct oral anticoagulants].

Larissa Henze, Axel Sckell, Alexander März, Christian Junghanß

Abstract read
PubMed Publisher
In one paragraph

Article in Der Unfallchirurg, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 1 country.

Larissa HenzeZentrum für Innere Medizin, Medizinische Klinik III, Klinik für Hämatologie, Onkologie, Palliativmedizin, Universitätsmedizin Rostock, Ernst-Heydemann-Str. 6, 18057, Rostock, Deutschland. onkologie@med.uni-rostock.de.
Axel SckellAbteilung für Unfall‑, Hand- und Wiederherstellungschirurgie, Chirurgische Klinik und Poliklinik, Universitätsmedizin Rostock, 18057, Rostock, Deutschland.
Alexander MärzKlinik und Poliklinik für Anästhesiologie und Intensivtherapie, Universitätsmedizin Rostock, 18057, Rostock, Deutschland.
Christian JunghanßZentrum für Innere Medizin, Medizinische Klinik III, Klinik für Hämatologie, Onkologie, Palliativmedizin, Universitätsmedizin Rostock, Ernst-Heydemann-Str. 6, 18057, Rostock, Deutschland.
Universitätsmedizin Rostock · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the population gets older the prevalence of atrial fibrillation and venous thromboembolism also increases. Therefore, more patients require anticoagulation and currently direct oral anticoagulants (DOAC), such as dabigatran etexilate, apixaban, rivaroxaban and edoxaban are preferred to vitamin K antagonists (VKA), mainly because of the more favorable risk-benefit profile with respect to bleeding. Older patients in particular frequently present at the accident and emergency department due to falls and an increased risk of fractures. The perioperative management of these patients who are treated with DOACs is a challenge in the clinical routine and needs special consideration. This article discusses these issues in an interdisciplinary approach and develops strategies for the perioperative management of patients treated with DOACs and undergoing trauma or orthopedic surgery.

Indexed as

Administration, OralAntithrombinsAtrial FibrillationHumansPerioperative CareSurgical Procedures, OperativeVenous ThromboembolismWounds and InjuriesAntithrombinsBleedingDabigatran etexilateFactor Xa inhibitorsThromboembolismTrauma

Identifiers

PMID31367841
OpenAlexW2964812771

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.