Evidence map›Paper›PMID 37789953›Full record

ArticleFrontiers in radiology2023

Hematocrit and lactate trends help predict outcomes in trauma independent of CT and other clinical parameters.

Pedro V Staziaki, Muhammad M Qureshi, Aaron Maybury, Neha R Gangasani, Christina A LeBedis, Gustavo A Mercier, Stephan W Anderson

Open access · goldAbstract read
In one paragraph

Article in Frontiers in radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 2 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

7 authors at 2 institutions in 1 country.

Pedro V StaziakiDepartment of Radiology, The University of Vermont Medical Center, Larner College of Medicine at the University of Vermont, Burlington, VT, United States.
Muhammad M QureshiDepartment of Radiology, Boston Medical Center, Boston University School of Medicine, Boston, MA, United States.
Aaron MayburyDepartment of Radiology, Boston Medical Center, Boston University School of Medicine, Boston, MA, United States.
Neha R GangasaniDepartment of Radiology, Boston Medical Center, Boston University School of Medicine, Boston, MA, United States.
Christina A LeBedisDepartment of Radiology, Boston Medical Center, Boston University School of Medicine, Boston, MA, United States.
Gustavo A MercierDepartment of Radiology, Boston Medical Center, Boston University School of Medicine, Boston, MA, United States.
Stephan W AndersonDepartment of Radiology, Boston Medical Center, Boston University School of Medicine, Boston, MA, United States.
Boston Medical Center · USBoston University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hematocrit and lactate have an established role in trauma as indicators of bleeding and cell death, respectively. The wide availability of CT imaging and clinical data poses the question of how these can be used in combination to predict outcomes. Purpose: To assess the utility of hematocrit or lactate trends in predicting intensive care unit (ICU) admission and hospital length of stay (LOS) in patients with torso trauma combined with clinical parameters and injury findings on CT. Materials and Methods: This was a single-center retrospective study of adults with torso trauma in one year. Trends were defined as a unit change per hour. CT findings and clinical parameters were explanatory variables. Outcomes were ICU admission and hospital LOS. Multivariate logistic and negative binomial regression models were used to calculate the odds ratio (OR) and incident rate ratio (IRR). Results: Among 840 patients, 561 (72% males, age 39 ± 18) were included, and 168 patients (30%) were admitted to the ICU. Decreasing hematocrit trend [OR 2.54 (1.41-4.58), Conclusion: Hematocrit and lactate trends may be helpful in predicting ICU admission and LOS in torso trauma independent of organ injuries on CT, age, or admission clinical parameters.

Indexed as

computed tomographyhematocritintensive care unitlength of staytrauma

Identifiers

PMID37789953
PMCPMC10544960
OpenAlexW4386849792

What OpenQuestion holds

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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.