Evidence map›Paper›PMID 29628951›Full record

ReviewInterventional neurology2018

Clinical and Radiographic Predictors of Intracerebral Hemorrhage Outcome.

Fawaz Al-Mufti, Ahmad M Thabet, Tarundeep Singh, Mohammad El-Ghanem, Krishna Amuluru, Chirag D Gandhi

Registry-linked trialAbstract readReview
In one paragraph

Review in Interventional neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04167644 (Proper Timing of Control of Hypertension and Outcome in Acute Spontaneous Intracerebral Hemorrhage.), which is not on this map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 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.

NCT04167644 completednot on this map

Proper Timing of Control of Hypertension and Outcome in Acute Spontaneous Intracerebral Hemorrhage.

TypeobservationalSponsorMansoura University HospitalRan2018 to 2019Enrolled150ConditionsIntra Cerebral Hemorrhage, HypertensionArmsModified Rankin Scale (mRS)
3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Intracranial hemorrhage in coronavirus disease 2019 (COVID-19) patients.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021
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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

6 authors.

Fawaz Al-MuftiDepartment of Neurology, Neurosurgery, and Radiology, Rutgers University-Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.
Ahmad M ThabetDepartment of Neurology, Neurosurgery, and Radiology, Rutgers University-Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.
Tarundeep SinghDepartment of Neurology, Neurosurgery, and Radiology, Rutgers University-Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.
Mohammad El-GhanemDepartment of Neurology, Neurosurgery, and Radiology, Rutgers University-Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.
Krishna AmuluruDepartment of Neurosurgery, Rutgers University-New Jersey Medical School, Newark, New Jersey, USA.
Chirag D GandhiWestchester Medical Center, New York College of Medicine, Valhalla, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntracerebral hemorrhage (ICH) represents 10-15% of all stroke cases in the US annually. Fewer than 40% of these patients ever reach long-term functional independence, and mortality rate is roughly 40% at 1 month. Due to the high morbidity and mortality rates after ICH, early detection of high-risk patients would be beneficial in directing the management course and goals of care. This review aims to discuss relevant clinical and radiographic characteristics that can serve as predictors of poor prognosis and examine their efficacy in predicting patient outcomes after ICH. SUMMARY: A literature review was conducted on various clinical and radiographic factors. They were examined for their predictive value in relation to ICH outcome. Studies that focused on each of these factors were included, and their results analyzed for trends with regard to incidence, patient outcome, and mortality rate. KEY MESSAGE: In this review, we examined clinical and radiographic characteristics that have been found to be significantly associated to a varying degree with poor outcome. Clinical and radiographic predictors of poor patient outcome are invaluable when it comes to identifying high-risk patients and triaging accordingly as well as guiding decision-making.

Indexed as

Intracerebral hemorrhageOutcomePoor prognosisPredictors

Identifiers

PMID29628951
PMCPMC5881146

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.