Evidence map›Paper›PMID 39970158›Full record

SynthesisPloS one2025

Potential blood biomarkers that can be used as prognosticators of spontaneous intracerebral hemorrhage: A systematic review and meta-analysis.

Aloysius Bagus Sasongko, Petra Octavian Perdana Wahjoepramono, Danny Halim, Jenifer Kiem Aviani, Achmad Adam, Yeo Tseng Tsai, Eka Julianta Wahjoepramono, Julius July, Tri Hanggono Achmad

Erratum issuedAbstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Aloysius Bagus SasongkoDepartment of Neurosurgery, Faculty of Medicine, Pelita Harapan University / Siloam Hospitals, Tangerang, Banten, Indonesia.
Petra Octavian Perdana WahjoepramonoDepartment of Neurosurgery, Faculty of Medicine, Pelita Harapan University / Siloam Hospitals, Tangerang, Banten, Indonesia.
Danny HalimDepartment of Neurosurgery, Faculty of Medicine, Universitas Padjadjaran / Dr. Hasan Sadikin General Hospital, Bandung, West Java, Indonesia.
Jenifer Kiem AvianiResearch Centre for Medical Genetics, Faculty of Medicine, Universitas Padjadjaran, Bandung, West Java, Indonesia.ORCID 0000-0002-1907-9885
Achmad AdamDepartment of Neurosurgery, Faculty of Medicine, Universitas Padjadjaran / Dr. Hasan Sadikin General Hospital, Bandung, West Java, Indonesia.
Yeo Tseng TsaiDivision of Neurosurgery, Department of Surgery, National University Hospital, Singapore, Singapore.
Eka Julianta WahjoepramonoDepartment of Neurosurgery, Faculty of Medicine, Pelita Harapan University / Siloam Hospitals, Tangerang, Banten, Indonesia.
Julius JulyDepartment of Neurosurgery, Faculty of Medicine, Pelita Harapan University / Siloam Hospitals, Tangerang, Banten, Indonesia.
Tri Hanggono AchmadResearch Centre for Medical Genetics, Faculty of Medicine, Universitas Padjadjaran, Bandung, West Java, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPredicting nontraumatic spontaneous intracerebral hemorrhage (SICH) patient prognosis has been commonly practiced, particularly when providing informed consent and considering surgical treatment. Biomarkers might provide more real-time evaluation of SICH patients' condition than clinical prognostic scoring systems. This study aimed to evaluate the reliability of blood biomarkers in predicting prognosis in SICH patients by systematic review and meta-analysis.

methodsStudies that evaluated the association of blood biomarker(s) with mortality and/or functional outcome in SICH patients up to October 11, 2024, were identified through PubMed, Google Scholars, Scopus databases, and reference lists. Studies that satisfied the inclusion criteria were included in the meta-analyses. Good functional outcome was defined by patient's Glasgow Outcome Scale (GOS) ≥ 4 or modified Rankin scale mRS ≤ 2. Blood biomarkers were classified into the following categories: angiogenic factors, growth factors, inflammatory biomarkers, coagulation parameters, blood counts, and others. Individual meta-analysis was performed for every evaluation endpoint:7 days, 30 days, 3 months, 6 months, and 1 year. Meta-analyses were performed using Random Effect Mean-Difference with a 95% Confidence Interval for continuous data and visualized as forest plots in RevMan version 5.3 software. Cochrane Tool to Assess Risk of Bias in Cohort Studies was used to assess potential risk of bias of the included studies. GRADE Profiler was used to assess quality of evidence.

resultsSeventy-seven studies fulfilled the inclusion criteria. Surviving SICH patients have significantly lower C-reactive protein (CRP), D-dimer, copeptin, S100β, white blood cell (WBC), monocyte, and glucose than non-surviving patients. SICH patients with good functional outcome have lower D-dimer, Interleukin 6 (IL-6), tumor necrosis factor α (TNF-α), WBC count, neutrophil count, monocyte count, copeptin and significantly higher lymphocyte counts and calcium levels. Out of all blood biomarkers that were evaluated, only S100β and copeptin had very high effect size and high certainty of evidence.

conclusionIt is interesting to notice that many blood biomarkers significantly associated with SICH patients' outcomes are related to inflammatory responses. This suggests that modulation of inflammation might be essential to improve SICH patients' prognosis. We confidently concluded that S100β and copeptin are the most reliable blood biomarkers that can be used as prognosticators in SICH patients. On other biomarkers, in addition to heterogeneities and inconsistencies, several factors might affect the conclusions of current meta-analysis; thus, future studies to increase the certainties of evidence and effect size on other biomarkers are crucial.

Indexed as

BiomarkersCerebral HemorrhageHumansPrognosisBiomarkers

Identifiers

PMID39970158
PMCPMC11838903

What OpenQuestion holds

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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.