Evidence map›Paper›PMID 36120383›Full record

ArticleFrontiers in radiology2022

Blunt splenic injury: Assessment of follow-up CT utility using quantitative volumetry.

David Dreizin, Theresa Yu, Kaitlynn Motley, Guang Li, Jonathan J Morrison, Yuanyuan Liang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. 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

6 authors at 1 institution in 1 country.

David DreizinTrauma and Emergency Radiology, Department of Diagnostic Radiology and Nuclear Medicine, School of Medicine, R Adams Cowley Shock Trauma Center, University of Maryland, Baltimore, MD, United States.ORCID 0000-0002-0176-0912
Theresa YuDepartment of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States.ORCID 0000-0003-0494-9400
Kaitlynn MotleyDepartment of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States.
Guang LiDepartment of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States.
Jonathan J MorrisonVascular Surgery, R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, MD, United States.
Yuanyuan LiangEpidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, United States.
University of Maryland, Baltimore · US

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

Purpose: Trials of non-operative management (NOM) have become the standard of care for blunt splenic injury (BSI) in hemodynamically stable patients. However, there is a lack of consensus regarding the utility of follow-up CT exams and relevant CT features. The purpose of this study is to determine imaging predictors of splenectomy on follow-up CT using quantitative volumetric measurements. Methods: Adult patients who underwent a trial of non-operative management (NOM) with follow-up CT performed for BSI between 2017 and 2019 were included ( Results: Factors significantly associated with splenectomy in bivariate analysis incorporated in multivariate logistic regression included final hemoperitoneum volume ( Conclusion: Follow-up CT provides clinically valuable information regarding the decision to perform splenectomy in BSI patients managed non-operatively. Hemoperitoneum volume and new or persistent pseudoaneurysm at follow-up are independent predictors of splenectomy.

Indexed as

abdominal traumablunt splenic injury (BSI)computed tomographyfollow-upquantitative CTspleentraumavolumetry

Identifiers

PMID36120383
PMCPMC9479763
OpenAlexW4286716254

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.