Evidence map›Paper›PMID 32300734›Full record

ArticleEClinicalMedicine2020

Clinical risk assessment model to predict venous thromboembolism risk after immobilization for lower-limb trauma.

Banne Nemeth, Delphine Douillet, Saskia le Cessie, Andrea Penaloza, Thomas Moumneh, Pierre-Marie Roy, Suzanne Cannegieter

Open access · goldAbstract read
In one paragraph

Article in EClinicalMedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Internal Validation of a Risk Scoring System for Venous Thromboembolism After Total hip or Knee Arthroplasty.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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 at 3 institutions in 3 countries.

Banne NemethDepartment of Clinical Epidemiology, Leiden University Medical Center, The Netherlands.
Delphine DouilletDepartment of Emergency Medicine, Angers University Hospital, MITOVASC Institute, University of Angers, Angers, France.
Saskia le CessieDepartment of Clinical Epidemiology, Leiden University Medical Center, The Netherlands.
Andrea PenalozaDepartment of Emergency Medicine, Cliniques Universitaires Saint Luc, Université Catholique de Louvain, Brussels, Belgium.
Thomas MoumnehDepartment of Emergency Medicine, Angers University Hospital, MITOVASC Institute, University of Angers, Angers, France.
Pierre-Marie RoyDepartment of Emergency Medicine, Angers University Hospital, MITOVASC Institute, University of Angers, Angers, France.
Suzanne CannegieterDepartment of Clinical Epidemiology, Leiden University Medical Center, The Netherlands.
Leiden University Medical Center · NLUniversité d'Angers · FRCliniques Universitaires Saint-Luc · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with lower-limb trauma requiring immobilization have an increased risk of venous thromboembolism (VTE). While thromboprophylaxis for all patients seems not effective, targeted thromboprophylaxis in high risk patients may be an appropriate alternative. Therefore, we aimed to develop and validate a risk assessment model for VTE risk: the TRiP(cast) score (Thrombosis Risk Prediction following cast immobilization).

methodsIn this prediction model study, for development, data were used from the MEGA study (case-control study into the etiology of VTE) and for validation, data from the POT-CAST trial (randomized trial on the effectiveness of thromboprophylaxis following cast immobilization) were used. Model discrimination was calculated by estimating the Area Under the Curve (AUC). For model calibration, observed and predicted risks were assessed.

findingsThe TRiP(cast) score includes 14 items; one item for trauma severity (or type), one for type of immobilization and 12 items related to patients' characteristics. Validation analyses showed an AUC of 0.74 (95%CI 0.61-0.87) in the complete dataset (

interpretationThe TRiP(cast) score provides a helpful tool in daily clinical practice to accurately stratify patients in high versus low-risk categories in order to guide thromboprophylaxis prescribing. To accommodate implementation in clinical practice a mobile phone application has been developed.

fundingZonMW VIMP grant:17110200011.

Indexed as

ImmobilizationPredictionRiskRisk assessment modelTraumaVenous thromboembolism

Identifiers

PMID32300734
PMCPMC7152815
OpenAlexW3004442118

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.