Evidence map›Paper›PMID 24775970›Full record

ArticleBMC surgery2014

An outcome prediction model for exsanguinating patients with blunt abdominal trauma after damage control laparotomy: a retrospective study.

Shang-Yu Wang, Chien-Hung Liao, Chih-Yuan Fu, Shih-Ching Kang, Chun-Hsiang Ouyang, I-Ming Kuo, Jr-Rung Lin, Yu-Pao Hsu, Chun-Nan Yeh, Shao-Wei Chen

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in BMC surgery, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Trial
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  4. Diagnostic options for blunt abdominal trauma.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2022
    Review
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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

10 authors at 3 institutions in 2 countries.

Shang-Yu Wang
Chien-Hung Liao
Chih-Yuan Fu
Shih-Ching KangDepartment of Trauma and Emergency Surgery, Chang Gung Memorial Hospital, Chang Gung University, 5, Fu-Hsing Street, Kwei Shan Township, Taoyuan, Taiwan. shangyu100@yahoo.com.tw.
Chun-Hsiang Ouyang
I-Ming Kuo
Jr-Rung Lin
Yu-Pao Hsu
Chun-Nan Yeh
Shao-Wei Chen
Chang Gung Memorial Hospital · TWChang Gung University · TWMemorial Hospital of South Bend · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe present a series of patients with blunt abdominal trauma who underwent damage control laparotomy (DCL) and introduce a nomogram that we created to predict survival among these patients.

methodsThis was a retrospective study. From January 2002 to June 2012, 91 patients underwent DCL for hemorrhagic shock. We excluded patients with the following characteristics: a penetrating abdominal injury, age younger than 18 or older than 65 years, a severe or life-threatening brain injury (Abbreviated Injury Scale [AIS] ≥ 4), emergency department (ED) arrival more than 6 hours after injury, pregnancy, end-stage renal disease, or cirrhosis. In addition, we excluded patients who underwent DCL after ICU admission or later in the course of hospitalization.

resultsThe overall mortality rate was 61.5%: 35 patients survived and 56 died. We identified independent survival predictors, which included a preoperative Glasgow Coma Scale (GCS) score < 8 and a base excess (BE) value < -13.9 mEq/L. We created a nomogram for outcome prediction that included four variables: preoperative GCS, initial BE, preoperative diastolic pressure, and preoperative cardiopulmonary cerebral resuscitation (CPCR).

conclusionsDCL is a life-saving procedure performed in critical patients, and devastating clinical outcomes can be expected under such dire circumstances as blunt abdominal trauma with exsanguination. The nomogram presented here may provide ED physicians and trauma surgeons with a tool for early stratification and risk evaluation in critical, exsanguinating patients.

Indexed as

Decision Support TechniquesLaparotomyNomogramsAbdominal InjuriesAdolescentAdultAgedFemaleHumansKaplan-Meier EstimateLogistic ModelsMaleMiddle AgedRetrospective StudiesRisk AssessmentROC Curve

Identifiers

PMID24775970
PMCPMC4009036
OpenAlexW1989320276

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.