Evidence map›Paper›PMID 29773204›Full record

ArticleSleep medicine2018

Intracerebral hemorrhage and sleep-disordered breathing.

Lynda D Lisabeth, Richard V Scheer, Chengwei Li, Erin Case, Ronald D Chervin, Darin B Zahuranec, Lewis B Morgenstern, Nelda M Garcia, Susan Tower, Devin L Brown

Open access · greenAbstract read
In one paragraph

Article in Sleep medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

9 citing papers in PubMed, 14 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

10 authors at 2 institutions in 1 country.

Lynda D LisabethDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA; Stroke Program, University of Michigan, Ann Arbor, MI, USA. Electronic address: llisabet@umich.edu.
Richard V ScheerStroke Program, University of Michigan, Ann Arbor, MI, USA.
Chengwei LiDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA.
Erin CaseDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA.
Ronald D ChervinSleep Disorders Center, University of Michigan, Ann Arbor, MI, USA.
Darin B ZahuranecStroke Program, University of Michigan, Ann Arbor, MI, USA.
Lewis B MorgensternDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA; Stroke Program, University of Michigan, Ann Arbor, MI, USA.
Nelda M GarciaStroke Program, University of Michigan, Ann Arbor, MI, USA.
Susan TowerCHRISTUS Spohn Hospital, Corpus Christi, TX, USA.
Devin L BrownStroke Program, University of Michigan, Ann Arbor, MI, USA.
University of Michigan–Ann Arbor · USCHRISTUS Spohn Hospital Corpus Christi - Memorial · US

Funding

STROKE SURVEILLANCE IN A BIETHNIC COMMUNITYR01NS038916 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI LISABETH, LYNDA D, MORGENSTERN, LEWIS B · 1999 to 2023
$20.9M
University of Michigan Regional Coordinating Stroke CenterU24NS107214 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DEVIN L BROWN, PHILLIP SCOTT · 2018 to 2026
$2.7M
Sleep apnea health disparities in Mexican American stroke patientsR01NS070941 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROWN, DEVIN L, LISABETH, LYNDA D · 2011 to 2015
$2.6M
University of Michigan Regional Coordinating Stroke CenterU10NS086526 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROWN, DEVIN L, SCOTT, PHILLIP · 2013 to 2017
$1.7M
The epidemiology of sleep apnea in a bi-ethnic stroke populationR01HL098065 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROWN, DEVIN L, LISABETH, LYNDA D · 2010 to 2013
$1.5M
NHLBI NIH HHS R01 HL098065NINDS NIH HHS R01 NS038916NINDS NIH HHS R01 NS070941NINDS NIH HHS U10 NS086526NINDS NIH HHS U24 NS107214
6 · The paper itself

Abstract

OBJECTIVE/

backgroundLimited data are available on sleep-disordered breathing (SDB) following intracerebral hemorrhage (ICH). Our aim was to characterize the objective measures of post-ICH SDB and questionnaire-reported pre-ICH sleep characteristics, overall and by ethnicity. PATIENTS/

methodsParticipants with ICH who were enrolled in the population-based Brain Attack Surveillance in Corpus Christi project (2010-2016) reported their pre-ICH sleep duration and completed the Berlin Questionnaire to characterize pre-ICH risk of SDB. A subsample was screened for SDB (respiratory event index ≥10) using ApneaLink Plus portable monitoring. Ethnic differences in post-ICH SDB or questionnaire-reported pre-ICH sleep characteristics were assessed using a log binomial model or a linear regression model or a Fisher's exact test.

resultsICH cases (n = 298) were enrolled (median age = 68 years, 67% Mexican American). Among 62 cases with complete ApneaLink data, median time to post-ICH SDB screening was 11 days (IQR: 6, 19). Post-ICH SDB prevalence was 46.8% (95% CI: 34.4-59.2), and this rate did not differ by ethnicity (p = 1.0). Berlin Questionnaires for 109 of the 298 ICH cases (36.6% (95% CI: 31.1-42.0)) suggested a high risk for pre-ICH SDB, and the median pre-ICH sleep duration was eight hours (IQR: 6, 8). After adjusting for confounders, there was no difference in ethnicity in high risk for pre-ICH SDB or pre-ICH sleep duration.

conclusionsNearly half of the patients had objective confirmation of SDB after ICH, and more than one-third had questionnaire evidence of high risk for pre-ICH SDB. Opportunities to address SDB may be common both before and after ICH.

Indexed as

AgedCerebral HemorrhageFemaleHumansMalePrevalenceSleep Apnea SyndromesSurveys and QuestionnairesTexasIntracerebral hemorrhageSleepSleep apneaSleep disorders

Identifiers

PMID29773204
PMCPMC6082385
OpenAlexW2794750550

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.