Evidence map›Paper›PMID 42730880›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2026

A hematoma location-based nomogram for individualized prediction of thalamic pain after spontaneous thalamic hemorrhage.

Xi Zhang, Shang Gao, Yingjie Shen, Tianyang Hou, Jie Zhang, Jingyang Feng, Qian Zhang, Yu Gu, Hongsheng Liang

Abstract read
PubMed Publisher
In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 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

9 authors.

Xi Zhang *Department of Neurosurgery, Huludao Center Hospital, No. 15 Lianshan Street, Lianshan District, Huludao, Liaoning Province, 125001, P.R. China.
Shang Gao *NHC Key Laboratory of Cell Transplantation, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Yingjie ShenNHC Key Laboratory of Cell Transplantation, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Tianyang HouDepartment of Neurosurgery, Huludao Center Hospital, No. 15 Lianshan Street, Lianshan District, Huludao, Liaoning Province, 125001, P.R. China.
Jie ZhangNHC Key Laboratory of Cell Transplantation, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Jingyang FengNHC Key Laboratory of Cell Transplantation, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Qian ZhangDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Yu GuDepartment of Neurosurgery, Huludao Center Hospital, No. 15 Lianshan Street, Lianshan District, Huludao, Liaoning Province, 125001, P.R. China. 576835799@qq.com.
Hongsheng LiangNHC Key Laboratory of Cell Transplantation, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China. lianghongsheng@hrbmu.edu.cn.ORCID http://orcid.org/0009-0008-8735-7059

Funding

National Natural Science Foundation of China No. 82271340Natural Science Foundation of Heilongjiang Province PL2024H060Outstanding Youth Funding of Harbin Medical University No. HYD2020JQ0016
6 · The paper itself

Abstract

objectiveTo identify predictors of thalamic pain (TP) within 6 months after spontaneous thalamic hemorrhage (STH), develop and internally validate a prediction model, and explore the association between hematoma location and pain severity.

methodsWe retrospectively analyzed 410 patients with STH (training, n = 287; validation, n = 123). Predictors were selected using LASSO and multivariable logistic regression to construct a nomogram. Discrimination, calibration, and net benefit were assessed using AUC, calibration curves, and decision curve analysis. Interaction and subgroup analyses assessed whether the association between hematoma location and TP varied with modified Graeb score (mGS). Among patients with TP, differences in maximum NRS scores across hematoma locations and the correlation between initial hematoma volume and maximum NRS score were examined.

resultsTP occurred in 27.87% of the training cohort and 38.21% of the validation cohort. The nomogram, incorporating hematoma location, mGS score, and body temperature, showed AUCs of 0.852 and 0.870 in the training and validation cohorts, respectively, with good calibration and favorable net benefit. The association between hematoma location and TP appeared more pronounced at lower mGS scores. Among 127 patients with TP, maximum NRS scores differed significantly across hematoma locations (P < 0.001), with lateral bleed showing the highest pain intensity. Initial hematoma volume was not correlated with maximum NRS score (ρ = 0.030, P = 0.736).

conclusionThe nomogram estimates TP risk after STH. Hematoma location may be particularly informative at lower mGS scores and is associated with pain severity, supporting risk stratification using routine clinical and CT features.

Indexed as

Cerebral HemorrhageHematomaNomogramsPainThalamic DiseasesThalamusAgedFemaleHumansMaleMiddle AgedPain MeasurementRetrospective StudiesClinical characteristicsHematoma locationNomogramPrediction modelSpontaneous thalamic hemorrhageThalamic pain

Identifiers

PMID42730880

What OpenQuestion holds

Textmetadata
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.