Evidence map›Paper›PMID 42889763›Full record

ArticleFrontiers in radiology2026

Prognostic value of oedema findings on head CT in traumatic brain injury following road traffic accidents.

Diyou Chen, Wei Ma, Li Zhan, Hui Zhao, Kunlin Xiong

Abstract read
In one paragraph

Article in Frontiers in radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Diyou Chen *Department of Radiology, Daping Hospital, Army Medical University, Chongqing, China.
Wei Ma *Department of Wound Infection and Drug, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital, Army Medical University, Chongqing, China.
Li ZhanDepartment of Radiology, Daping Hospital, Army Medical University, Chongqing, China.
Hui ZhaoInstitute for Traffic Medicine, Daping Hospital, Army Medical University, Chongqing, China.
Kunlin XiongDepartment of Radiology, Daping Hospital, Army Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Existing CT-based prognostic models for traumatic brain injury (TBI) are not tailored to specific injury mechanisms and lack sensitivity to cerebral oedema changes. This study aimed to develop an assessment method for cerebral oedema and compare it with conventional CT scoring systems in predicting long-term outcomes in patients with TBI following road traffic accidents (RTAs). Methods: A retrospective analysis was conducted on 227 patients with TBI following RTAs admitted to a single center (2019.1-2023.12). A clinical prognostic model (IMPACT) was defined, comprising age, motor score, and pupillary light reflex. The A5 (+1) CT classification was defined based on the involvement of cerebral lobes by oedema and the resulting mass effect. The Marshall CT classification, Rotterdam CT score, Helsinki CT score, and A5 (+1) CT classification were added to the IMPACT model to assess their value in predicting outcomes using area under the curve (AUC). Results: The AUC for A5 (+1) CT classification reached 0.849, surpassing Marshall CT classification (0.720, Discussion: The A5 (+1) CT classification outperforms conventional CT scoring systems in assessing long-term outcomes for patients with TBI following RTAs. Its inclusion in the IMPACT model enhances predictive performance.

Indexed as

cerebral oedemact scorefunctional prognosisroad traffic accidentstraumatic brain injury

Identifiers

PMID42889763
PMCPMC13671023

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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.