Evidence map›Paper›PMID 34423133›Full record

ArticleTrauma surgery & acute care open2021

What are the strongest indicators of intracerebral hemorrhage in mild traumatic brain injury?

Panu Teeratakulpisarn, Phati Angkasith, Thanakorn Wannakul, Parichat Tanmit, Supatcha Prasertcharoensuk, Chaiyut Thanapaisal, Narongchai Wongkonkitsin, Amnat Kitkhuandee, Wattana Sukeepaisarnjaroen, Warinthorn Phuttharak and 1 more

Open access · goldAbstract read
In one paragraph

Article in Trauma surgery & acute care open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
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

11 authors at 1 institution in 1 country.

Panu TeeratakulpisarnDepartment of Surgery, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Phati AngkasithDepartment of Surgery, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Thanakorn WannakulDepartment of Surgery, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Parichat TanmitDepartment of Surgery, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Supatcha PrasertcharoensukDepartment of Surgery, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Chaiyut ThanapaisalDepartment of Surgery, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Narongchai WongkonkitsinDepartment of Surgery, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Amnat KitkhuandeeDepartment of Surgery, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Wattana SukeepaisarnjaroenDepartment of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Warinthorn PhuttharakDepartment of Radiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Kittisak SawanyawisuthDepartment of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.ORCID 0000-0003-3570-8474
Khon Kaen University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough there are eight factors known to indicate a high risk of intracranial hemorrhage (ICH) in mild traumatic brain injury (TBI), identification of the strongest of these factors may optimize the utility of brain CT in clinical practice. This study aimed to evaluate the predictors of ICH based on baseline characteristics/mode of injury, indications for brain CT, and a combination of both to determine the strongest indicator.

methodsThis was a descriptive, retrospective, analytical study. The inclusion criteria were diagnosis of mild TBI, high risk of ICH, and having undergone a CT scan of the brain. The outcome of the study was any type of ICH. Stepwise logistic regression analysis was used to find the strongest predictors according to three models: (1) injury pattern and baseline characteristics, (2) indications for CT scan of the brain, and (3) a combination of models 1 and 2.

resultsThere were 100 patients determined to be at risk of ICH based on indications for CT of the brain in patients with acute head injury. Of these, 24 (24.00%) had ICH. Model 1 found that injury due to motor vehicle crash was a significant predictor of ICH, with an adjusted OR (95% CI) of 11.53 (3.05 to 43.58). Models 2 and 3 showed Glasgow Coma Scale (GCS) score of 13 to 14 after 2 hours of observation and open skull or base of skull fracture to be independent predictors, with adjusted OR (95% CI) of 11.77 (1.32 to 104.96) and 5.88 (1.08 to 31.99) according to model 2. DISCUSSION: Open skull or base of skull fracture and GCS score of 13 to 14 after 2 hours of observation were the two strongest predictors of ICH in mild TBI. LEVEL OF EVIDENCE: III.

Indexed as

epidural hematomahead injuryintracerebral hemorrhagesubdural hematoma

Identifiers

PMID34423133
PMCPMC8340271
OpenAlexW3190301624

What OpenQuestion holds

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LicenceCC BY-NC
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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.