Evidence map›Paper›PMID 36178488›Full record

ArticleAnnals of hematology2022

Clinical characteristics and prognostic factors in intracranial hemorrhage patients with hematological diseases.

Jia-Yuan Zhang, Ying Li, Yue-Shen Ma, Xiu-Juan Sun, Yong-Ze Liu, Yan-Ke Yin, Bo Hu, Ming-Huan Su, Qiu-Ling Li, Ying-Chang Mi and 1 more

Abstract read
In one paragraph

Article in Annals of hematology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

11 authors.

Jia-Yuan Zhang *Department of Emergency, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
Ying Li *Department of Radiology, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
Yue-Shen MaDepartment of Biostatistics, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
Xiu-Juan SunDepartment of Emergency, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
Yong-Ze LiuDepartment of Emergency, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
Yan-Ke YinDepartment of Emergency, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
Bo HuDepartment of Emergency, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
Ming-Huan SuDepartment of Emergency, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
Qiu-Ling LiDepartment of Emergency, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
Ying-Chang MiDepartment of Emergency, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
Da-Peng LiDepartment of Emergency, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China. lidapeng@ihcams.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clinical characteristics and prognosis of intracranial hemorrhage (ICH) in patients with hematological diseases remain controversial. This study aimed to describe the clinical characteristics and explore the prognostic factors in such patients. A total of 238 ICH patients with a hematological disease were recruited from the Institute of Hematology and Blood Diseases Hospital, China, from January 2015 to April 2020. The Cox proportional hazards model was used to identify the prognostic factors for 30-day mortality in ICH patients with a hematological disease. There were 123 cases of acute leukemia (AL), 20 of myelodysplasia/myeloproliferative neoplasm, 35 of aplastic anemia (AA), 29 of immune thrombocytopenia (ITP), 19 of congenital/acquired coagulation factor deficiency, and 12 of other hematological diseases. Furthermore, 121 patients presented with a multi-site hemorrhage (MSH), 58 with a single-site hemorrhage in the brain parenchyma (PCH), 23 with a subarachnoid hemorrhage, 33 with a subdural hemorrhage (SH), and three with an epidural hemorrhage. The Cox proportional hazards model indicated association of SH (vs PCH, hazard ratio [HR]: 0.230; 95% confidence interval [CI]: 0.053-0.996; P = 0.049), low white blood cells (≤ 100 × 10

Indexed as

Anemia, AplasticHematologic DiseasesLeukemia, Myeloid, AcuteThrombocytopeniaCerebral HemorrhageHematoma, SubduralHumansIntracranial HemorrhagesPrognosisRisk FactorsClinical characteristicsHematological diseasesIntracranial hemorrhagePrognosis

Identifiers

PMID36178488
PMCPMC9646537

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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.