Evidence map›Paper›PMID 31748887›Full record

ArticleWorld journal of surgery2020

The FASILA Score: A Novel Bio-Clinical Score to Predict Massive Blood Transfusion in Patients with Abdominal Trauma.

Ayman El-Menyar, Husham Abdelrahman, Hassan Al-Thani, Ahammed Mekkodathil, Rajvir Singh, Sandro Rizoli

Open access · hybridAbstract read
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Article in World journal of surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Ayman El-MenyarDepartment of Surgery, Clinical Research, Trauma and Vascular Surgery, Hamad General Hospital, P.O Box 3050, Doha, Qatar. aymanco65@yahoo.com.
Husham AbdelrahmanDepartment of Surgery, Trauma Surgery, Hamad General Hospital, Doha, Qatar.
Hassan Al-ThaniDepartment of Surgery, Trauma Surgery, Hamad General Hospital, Doha, Qatar.
Ahammed MekkodathilDepartment of Surgery, Clinical Research, Trauma and Vascular Surgery, Hamad General Hospital, P.O Box 3050, Doha, Qatar.
Rajvir SinghDepartment of Surgery, Biostatistician, Hamad General Hospital, Doha, Qatar.
Sandro RizoliDepartment of Surgery, Trauma Surgery, Hamad General Hospital, Doha, Qatar.
Hamad General Hospital · QAWeill Cornell Medical College in Qatar · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly identification of patients who may need massive blood transfusion remains a major challenge in trauma care. This study proposed a novel and easy-to-calculate prediction score using clinical and point of care laboratory findings in patients with abdominal trauma (AT).

methodsPatients with AT admitted to a trauma center in Qatar between 2014 and 2017 were retrospectively analyzed. The FASILA score was proposed and calculated using focused assessment with sonography in trauma (0 = negative, 1 = positive), Shock Index (SI) (0 = 0.50-0.69, 1 = 0.70-0.79, 2 = 0.80-0.89, and 3 ≥ 0.90), and initial serum lactate (0 ≤ 2.0, 1 = 2.0-4.0, and 2 ≥ 4.0 mmol/l). Outcome variables included mortality, laparotomy, and massive blood transfusion (MT). FASILA was compared to other prediction scores using receiver operating characteristics and areas under the curves. Bootstrap procedure was employed for internal validation.

resultsIn 1199 patients with a mean age of 31 ± 13.5 years, MT, MT protocol (MTP) activation, exploratory laparotomy (ExLap), and hospital mortality were related linearly with the FASILA score, Injury Severity Score, and total length of hospital stay. Initial hemoglobin, Revised Trauma Score (RTS), and Trauma Injury Severity Score (TRISS) were inversely proportional. FASILA scores correlated significantly with the Assessment of Blood Consumption (ABC) (r = 0.65), Revised Assessment of Bleeding and Transfusion (RABT) (r = 0.63), SI (r = 0.72), RTS (r = - 0.34), and Glasgow Coma Scale (r = - 0.32) and outperformed other predictive systems (RABT, ABC, and SI) in predicting MT, MTP, ExLap, and mortality.

conclusionsThe novel FASILA score performs well in patients with abdominal trauma and offers advantages over other scores.

Indexed as

Blood TransfusionAbdominal InjuriesAdolescentAdultFemaleHospital MortalityHumansInjury Severity ScoreMaleMiddle AgedRetrospective StudiesYoung Adult

Identifiers

PMID31748887
PMCPMC7223809
OpenAlexW2991059191

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.