Evidence map›Paper›PMID 29546065›Full record

SynthesisBioMed research international2018

Heterogeneity Signs on Noncontrast Computed Tomography Predict Hematoma Expansion after Intracerebral Hemorrhage: A Meta-Analysis.

Danfeng Zhang, Jigang Chen, Qiang Xue, Bingying Du, Ya Li, Tao Chen, Ying Jiang, Lijun Hou, Yan Dong, Junyu Wang

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in BioMed research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Risk Factors of Chronic Subdural Hematoma Recurrence: A Systematic Review.Medical journal of the Islamic Republic of Iran · 2025
    Review
  5. Review
  6. Article
  7. Article
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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

10 authors.

Danfeng ZhangDepartment of Neurosurgery, Changzheng Hospital, Second Military Medical University, Shanghai 200003, China.ORCID 0000-0003-2444-9227
Jigang ChenDepartment of Neurosurgery, Changzheng Hospital, Second Military Medical University, Shanghai 200003, China.
Qiang XueDepartment of Neurosurgery, Changzheng Hospital, Second Military Medical University, Shanghai 200003, China.ORCID 0000-0001-7220-4975
Bingying DuDepartment of Neurology, Changhai Hospital, Second Millitary Medical University, Shanghai, China.ORCID 0000-0003-3124-780X
Ya LiDepartment of Neurosurgery, Changzheng Hospital, Second Military Medical University, Shanghai 200003, China.ORCID 0000-0003-3881-2031
Tao ChenForce 71571, PLA, China.ORCID 0000-0001-9148-7704
Ying JiangDepartment of Neurosurgery, Changzheng Hospital, Second Military Medical University, Shanghai 200003, China.
Lijun HouDepartment of Neurosurgery, Changzheng Hospital, Second Military Medical University, Shanghai 200003, China.ORCID 0000-0001-9877-1599
Yan DongDepartment of Neurosurgery, Changzheng Hospital, Second Military Medical University, Shanghai 200003, China.ORCID 0000-0002-6231-1942
Junyu WangDepartment of Neurosurgery, Changzheng Hospital, Second Military Medical University, Shanghai 200003, China.ORCID 0000-0001-5096-9598

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeHematoma expansion (HE) is related to clinical deterioration after intracerebral hemorrhage (ICH) and noncontrast computed tomography (NCCT) signs are indicated as predictors for HE but with inconsistent conclusions. We aim to clarify the correlations of NCCT heterogeneity signs with HE by meta-analysis of related studies.

methodsPubMed, Embase, and Cochrane library were searched for eligible studies exploring the relationships between NCCT heterogeneity signs (hypodensity, mixed density, swirl sign, blend sign, and black hole sign) and HE. Poor outcome and mortality were considered as secondary outcomes. Odds ratio (OR) and its 95% confidence intervals (CIs) were selected as the effect size and combined using random effects model.

resultsFourteen studies were included, involving 3240 participants and 435 HEs. The summary results suggested statistically significant correlations of heterogeneity signs with HE (OR, 5.17; 95% CI, 3.72-7.19,

conclusionsOur findings suggested that hematoma heterogeneity signs on NCCT were positively associated with the increased risk of HE, poor outcome, and mortality rate in ICH.

Indexed as

PrognosisAgedCerebral HemorrhageDisease ProgressionFemaleHematomaHumansMaleMiddle AgedPubMedRisk FactorsTomography, X-Ray Computed

Identifiers

PMID29546065
PMCPMC5818889

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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.