Evidence map›Paper›PMID 35775673›Full record

ArticleUlusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES2022

Prognostic value of lactate to hematocrit ratio score in patients with severe thoracoabdominal trauma.

Bülent Demir, Muhammed İkbal Şaşmaz, Ekim Saglam Gurmen, Adnan Bilge

Abstract read
In one paragraph

Article in Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES, 2022. 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
–field-weighted citation impact
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.

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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

4 authors.

Bülent DemirDepartment of Emergency Medicine, Manisa Celal Bayar University Faculty of Medicine, Manisa-Türkiye.
Muhammed İkbal ŞaşmazDepartment of Emergency Medicine, Manisa Celal Bayar University Faculty of Medicine, Manisa-Türkiye.
Ekim Saglam GurmenDepartment of Emergency Medicine, Manisa Celal Bayar University Faculty of Medicine, Manisa-Türkiye.
Adnan BilgeDepartment of Emergency Medicine, Manisa Celal Bayar University Faculty of Medicine, Manisa-Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSignificant portion of trauma-related deaths occur in the 1st h; therefore, rapid diagnosis and adequate resuscita-tion in trauma patients are essential preventing mortality. In this study, we aimed to evaluate the role of lactate-to-hematocrite ratio (LHR) score for predicting mortality in patients with severe thoracoabdominal trauma.

methodsIn this retrospective, cross-sectional study, we evaluated patients who applied to the emergency room between January 1, 2016, and December 31, 2019, due to multiple trauma. We measured the blood gas analysis values and LHR score of patients with severe thoracoabdominal trauma included in the study and investigated the effectiveness of the LHR score in predicting mortality.

results106 patients with severe thoracoabdominal trauma were included in the study. The 30-day mortality rate of the patients was 42.5% (n=45). Considering the 30-day mortality rates, the initial hematocrit, lactate, base deficit, and LHR score were statistically different between patients who died and survived. When the cutoff value for the LHR score was taken as 0.187 on the ROC curve to distinguish mortality, the sensitivity was found to be 77.8%, specificity to be 90.2%.

conclusionLHR score is an effective parameter with high sensitivity and specificity in predicting mortality in patients with severe thoracoabdominal trauma.

Indexed as

Lactic AcidCross-Sectional StudiesHematocritHumansPrognosisRetrospective StudiesLactic Acid

Identifiers

PMID35775673
PMCPMC10493832

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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.