Evidence map›Paper›PMID 31721653›Full record

ArticleRadiographics : a review publication of the Radiological Society of North America, Inc

Commentary on "Multidetector CT in Vascular Injuries Resulting from Pelvic Fractures".

David Dreizin

Abstract readComment
In one paragraph

Article in Radiographics : a review publication of the Radiological Society of North America, Inc. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. An Interpretable Approach to Automated Severity Scoring in Pelvic Trauma.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

David DreizinDepartment of Diagnostic Radiology and Nuclear Medicine, R. Adams Cowley Shock Trauma Center, University of Maryland School of Medicine Baltimore, Maryland.ORCID 0000-0002-0176-0912

Funding

Machine learning-based segmentation and risk modeling for real-time prediction of major arterial bleeding after pelvic fracturesK08EB027141 · NIBIB · UNIVERSITY OF MARYLAND BALTIMORE · PI DREIZIN, DAVID · 2019 to 2022
$745k
NIBIB NIH HHS K08 EB027141
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Fractures, BonePelvic BonesVascular System InjuriesHumansMultidetector Computed TomographyRadiologists

Identifiers

PMID31721653
PMCPMC6884065

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.