Evidence map›Paper›PMID 42351289›Full record

ArticleAnnals of clinical and translational neurology2026

Integrating Time-Adjusted Imaging Instability Into Functional Outcome Prediction After Intracerebral Hemorrhage: Development and Validation of the HAGIV Score.

Lei Song, Ren Ke, Anqi Chen, Yufei Fu, Hang Zhou, Rujia Wang, Liwei Zou, Yongqiang Yu, Ming Yuan, Xiaoming Qiu and 1 more

Abstract read
In one paragraph

Article in Annals of clinical and translational neurology, 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
–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

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

11 authors.

Lei SongDepartment of Cerebrovascular Diseases, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Ren KeDepartment of Radiology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, China.
Anqi ChenDepartment of Radiology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, Hubei, China.
Yufei FuDepartment of Radiology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, Hubei, China.
Hang ZhouDepartment of Radiology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, China.
Rujia WangDepartment of Radiology, Tangshan Gongren Hospital, Tangshan, Hebei, China.
Liwei ZouDepartment of Radiology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Yongqiang YuDepartment of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.ORCID https://orcid.org/0000-0001-8977-2215
Ming YuanOffice of Medical Research, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, Hubei, China.
Xiaoming QiuDepartment of Radiology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, Hubei, China.
Mengzhou XueDepartment of Cerebrovascular Diseases, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.ORCID https://orcid.org/0000-0002-4427-7285

Funding

Health Commission of Hubei Province Scientific Research Project WJ2025Q071Hubei Provincial Natural Science Foundation of China 2023AFD017Hubei Provincial Natural Science Foundation of China 2024AFB431Hubei Provincial Natural Science Foundation of China 2024AFD004National Natural Science Foundation of China U25A2065
6 · The paper itself

Abstract

objectiveEarly risk stratification may support clinical decision-making in spontaneous intracerebral hemorrhage (ICH). We aimed to develop and internally validate HAGIV, a score integrating frequency of imaging markers (FIM), a time-adjusted non-contrast computed tomography (CT) metric of hematoma expansion, with established predictors for 90-day functional outcome in supratentorial ICH.

methodsThis prespecified prognostic modeling study used a multicenter retrospective cohort of consecutive supratentorial ICH patients with baseline non-contrast CT within 6 h of onset (January 2018-August 2022). The HAGIV score was constructed by assigning integer points according to regression coefficients from multivariable logistic regression. Discrimination for poor functional outcome (modified Rankin Scale score 3-6) was assessed using area under the curve (AUC) and compared with established ICH prognostic scores.

resultsHAGIV incorporated baseline hematoma volume (H), age (A), Glasgow Coma Scale score (G), frequency of imaging markers (I), and presence of intraventricular hemorrhage (V). In the derivation cohort, HAGIV achieved an AUC of 0.86, significantly outperforming the ICH (0.81), MICH (0.81), Outcome (0.72), and Landseed ICH (0.79) scores (all p < 0.001, DeLong's test). This superiority was confirmed in the validation cohort, where HAGIV maintained an AUC of 0.84 compared with 0.76, 0.78, 0.75, and 0.75, respectively.

interpretationIn this predominantly small-to-moderate, supratentorial ICH cohort, HAGIV integrated FIM with established prognostic variables and improved discrimination for 90-day outcome. It may support interpretable early risk stratification for counseling and trial design, but prospective external validation is required before broader clinical implementation.

Indexed as

computed tomographyHAGIV scoreintracerebral hemorrhageprognosisstroke

Identifiers

PMID42351289
PMCPMC13394952

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.