Evidence map›Paper›PMID 33094049›Full record

ArticleCureus2020

Management Strategies and Outcomes of Hemorrhagic Traumatic Brain Injury on Oral Anticoagulants.

Evan M Krueger, Megan M Finneran, Michelle Smith

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

3 authors at 1 institution in 1 country.

Evan M KruegerDepartment of Neurosurgery, Carle Foundation Hospital, Normal, USA.
Megan M FinneranDepartment of Neurosurgery, Carle Foundation Hospital, Normal, USA.
Michelle SmithDepartment of Trauma, OSF Healthcare, Bloomington, USA.
Carle Foundation Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTraumatic brain injury (TBI) is common, and the frequency of patients taking oral anticoagulants is increasing. However the optimal initial triage, management, and long term care plans of hemorrhagic TBI patients taking oral anticoagulants is not clear.

objectivesTo determine the usage pattern of reversal agents for hemorrhagic TBI patients taking oral anticoagulants, and examine their characteristics and outcomes as compared to hemorrhagic TBI patients not taking these medications.

methodsThis was a single-center, retrospective, observational study. Included were adults with trauma categorization and traumatic intracranial hemorrhage (ICH) between April 1, 2017 and December 31, 2019. Patient age, type of ICH, initial Glasgow Coma Scale (GCS) score, oral anticoagulant prescribed pre-injury, anticoagulation reversal agent given, and hospital discharge disposition were recorded.

resultsFor the entire sample size (n=111), the mean age and GCS were 71.6 years old and 13.8, respectively. Compared to patients not taking oral anticoagulants, patients taking oral anticoagulants were older (76.7 years old versus 69.1;

conclusionsThis limited data set did not show improved outcomes by giving reversal agents to hemorrhagic TBI patients taking oral anticoagulants. However, until more robust data is available, judicious use of reversal agents in this high-risk patient population should remain common practice.

Indexed as

anticoagulationantiplateletintracranial hemorrhagetraumatic brain injury

Identifiers

PMID33094049
PMCPMC7571597
OpenAlexW3087294465

What OpenQuestion holds

Textmetadata
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.