Evidence map›Paper›PMID 29282615›Full record

ArticleJapanese journal of radiology2018

Predictors of active arterial hemorrhage on angiography in pelvic fracture patients.

Ying-Chieh Lai, Cheng-Hsien Wu, Huan-Wu Chen, Li-Jen Wang, Yon-Cheong Wong

Abstract read
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In one paragraph

Article in Japanese journal of radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
1.7field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 3 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Commentary on "Multidetector CT in Vascular Injuries Resulting from Pelvic Fractures".Radiographics : a review publication of the Radiological Society of North America, Inc
    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

5 authors at 2 institutions in 1 country.

Ying-Chieh LaiDivision of Emergency and Critical Care Radiology, Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Chang Gung University, 5, Fu-Hsing Street, Gueishan, Taoyuan, 333, Taiwan.
Cheng-Hsien WuDivision of Emergency and Critical Care Radiology, Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Chang Gung University, 5, Fu-Hsing Street, Gueishan, Taoyuan, 333, Taiwan.
Huan-Wu ChenDivision of Emergency and Critical Care Radiology, Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Chang Gung University, 5, Fu-Hsing Street, Gueishan, Taoyuan, 333, Taiwan.
Li-Jen WangDivision of Emergency and Critical Care Radiology, Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Chang Gung University, 5, Fu-Hsing Street, Gueishan, Taoyuan, 333, Taiwan.
Yon-Cheong WongDivision of Emergency and Critical Care Radiology, Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Chang Gung University, 5, Fu-Hsing Street, Gueishan, Taoyuan, 333, Taiwan. ycwong@cgmh.org.tw.
Chang Gung Memorial Hospital · TWChang Gung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine predictors of active angiographic hemorrhage in pelvic fracture patients. MATERIALS AND

methodsThis retrospective study included 66 trauma patients who had major hemorrhages due to pelvic fractures, and who underwent pelvic angiography between January 2012 and December 2014. The study population comprised 31 males and 35 females (mean age 44.2 ± 20.7 years). The main outcome was active hemorrhage on pelvic angiography. Clinical and imaging variables including demographics, hemodynamic parameters, injury severity, types of pelvic fracture, laboratory data, blood transfusions and CT findings were analyzed. Multivariate logistic regression was used to identify predictors of active angiographic hemorrhage.

resultsOf the 66 study patients included, 41 patients had active angiographic hemorrhage. These patients had more blood transfusions, higher activated partial thromboplastin times and higher rates of contrast extravasation on CT (p < 0.05). Three independent predictors of active angiographic hemorrhage were identified, including contrast extravasation on CT (OR: 74.6, p < 0.001), more than 8 units of RBC transfusions (OR: 12.5, p = 0.018) and ISS ≥ 16 (OR: 11.1, p = 0.029).

conclusionContrast extravasation on CT, high volume RBC transfusions and ISS ≥ 16 can help us to select pelvic fracture patients for angiography more precisely.

Indexed as

AdultComputed Tomography AngiographyFemaleFractures, BoneHemorrhageHumansMaleMiddle AgedPelvic BonesRetrospective StudiesRisk FactorsAngiographyEmbolizationExtravasationPelvic fracturePredictor

Identifiers

PMID29282615
OpenAlexW2780967209

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.