Evidence map›Paper›PMID 30930958›Full record

Observational studyWorld journal of emergency surgery : WJES2019

Prediction of arterial extravasation in pelvic fracture patients with stable hemodynamics using coagulation biomarkers.

Makoto Aoki, Takayuki Ogura, Shuichi Hagiwara, Mitsunobu Nakamura, Kiyohiro Oshima

Open access · goldAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in World journal of emergency surgery : WJES, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Unstable pelvic fractures in patients with hemodynamic instability: global treatment controversies.OTA international : the open access journal of orthopaedic trauma · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. 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.

Makoto Aoki1Department of Emergency Medicine, Gunma University Graduate School of Medicine, Gunma, Japan.ORCID 0000-0001-8239-8822
Takayuki OguraAdvanced Medical Emergency Department and Critical Care Center, Japan Red Cross Maebashi Hospital, Gunma, Japan.
Shuichi Hagiwara1Department of Emergency Medicine, Gunma University Graduate School of Medicine, Gunma, Japan.
Mitsunobu NakamuraAdvanced Medical Emergency Department and Critical Care Center, Japan Red Cross Maebashi Hospital, Gunma, Japan.
Kiyohiro Oshima1Department of Emergency Medicine, Gunma University Graduate School of Medicine, Gunma, Japan.
Gunma University · JPMaebashi Red Cross Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Determining the presence of an active arterial hemorrhage in the acute phase is important as a treatment strategy in patients with pelvic fracture. The purpose of this study was to evaluate whether coagulation biomarkers could predict arterial extravasation, especially in pelvic fracture patients with stable hemodynamics. Methods: We studied patients with a pelvic fracture who had a systolic blood pressure above 90 mmHg and lactate level less than 5.0 mmol/L on hospital arrival. Patients were divided into two groups: those with arterial extravasation on enhanced computed tomography (CT) or angiography (extravasation [+] group) and those without arterial extravasation (extravasation [-] group). Coagulation biomarkers measured on arrival were statistically compared between the two groups. Predictive ability of arterial extravasation using coagulation biomarkers was evaluated by receiver-operating characteristic analyses provided area under the receiver-operating characteristic curves (AUROC) and diagnostic indicators with optimal cutoff point including sensitivity, specificity, positive and negative predictive values, and diagnostic odds ratio (DOR). Results: Sixty patients were analyzed. Fibrin degradation products (FDP), D-dimer, prothrombin time-international normalized ratio (PT-INR), and the ratio of FDP to fibrinogen were significantly higher in the extravasation (+) group than in the extravasation (-) group (FDP, 242 μg/mL [145-355] vs. 96 μg/mL [58-153]; D-dimer, 81 μg/mL [41-140] vs. 39 μg/mL [21-75]; PT-INR, 1.09 [1.05-1.24] vs. 1.02 [0.98-1.08]; and ratio of FDP to fibrinogen, 1.06 [0.85-2.01] vs. 0.46 [0.25-0.74]). The highest AUROC was with a ratio of FDP to fibrinogen of 0.777 (95% confidence interval, 0.656-0.898), and the highest predictive ability in terms of DOR was with a ratio of FDP to fibrinogen (sensitivity, 0.76; specificity, 0.76; DOR 9.90). Conclusion: Coagulation biomarker could predict of arterial extravasation in pelvic fracture patients with stable hemodynamics.

Indexed as

Blood CoagulationAdultAgedAged, 80 and overArea Under CurveArteriesBiomarkersBlood PressureChi-Square DistributionComputed Tomography AngiographyFemaleFibrin Fibrinogen Degradation ProductsFibrinogenFractures, BoneHemodynamicsHemorrhageBiomarkersFibrin Fibrinogen Degradation Productsfibrin fragment DFibrinogenArterial extravasationCoagulopathyPelvic fractureTrauma

Identifiers

PMID30930958
PMCPMC6425576
OpenAlexW2941693138

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.