Evidence map›Paper›PMID 36443745›Full record

ArticleBMC neurology2022

The prognostic value of the Charlson comorbidity index in aged patients with intracerebral hemorrhage.

Tianjie Zhang, Ruiqi Chen, Dingke Wen, Xing Wang, Lu Ma

Open access · goldAbstract read
In one paragraph

Article in BMC neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 22% of its field
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

7 citing papers in PubMed, 9 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Tianjie Zhang *West China School of medicine, West China Hospital of Sichuan University, Sichuan Province, Chengdu, 610041, China.
Ruiqi Chen *Department of Neurosurgery, West China Hospital of Sichuan University, Chengdu, 610041, Sichuan Province, China.
Dingke WenDepartment of Neurosurgery, West China Hospital of Sichuan University, Chengdu, 610041, Sichuan Province, China.
Xing WangWest China School of medicine, West China Hospital of Sichuan University, Sichuan Province, Chengdu, 610041, China.
Lu MaDepartment of Neurosurgery, West China Hospital of Sichuan University, Chengdu, 610041, Sichuan Province, China. alex80350305@163.com.
West China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComorbidities are common in aged intracerebral hemorrhage patients. The purpose of this study was to assess whether the Charlson Comorbidity Index (CCI) was associated with in-hospital death and short-term functional outcome in elderly patients (age ≥ 70) with intracerebral hemorrhage (ICH).

methodsThis was a retrospective cohort of aged ICH patients (≥70 years old) admitted within 24 hours of ICH onset. The CCI was derived using hospital discharge ICD-9 CM codes and patient history obtained from standardized case report forms. Multivariable logistic regression was used to determine the independent effect of the CCI score on clinical outcomes.

resultsIn this cohort of 248 aged ICH patients, comorbid conditions were common, with CCI scores ranging from 2 to 12. Logistic regression showed that the CCI score was independently predictive of 1-month functional outcome (OR = 1.642, P < 0.001) and in-hospital death (OR = 1.480, P = 0.003). Neither ICH volume nor the presence of IVH was an independent predictive factor for 1-month functional outcome or in-hospital mortality (P < 0.05).

conclusionComorbid medical conditions as assessed by the CCI independently influence short-term outcomes in aged ICH patients. The characteristics of the hematoma itself, such as ICH volume and the presence of IVH, seem to have a reduced effect on it.

Indexed as

Cerebral HemorrhageHematomaAgedHospital MortalityHumansPrognosisRetrospective StudiesCharlson comorbidity indexComorbidityIntracerebral hemorrhageOld patientsStroke outcome

Identifiers

PMID36443745
PMCPMC9703725
OpenAlexW4310222823

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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.