Evidence map›Paper›PMID 29189631›Full record

ArticleTransplantation2018

Incidence and Risk Factors of Intracranial Hemorrhage in Liver Transplant Recipients.

Tom K Gallagher, Kathryn A Thomas, Daniela P Ladner, Daniel Ganger, Farzaneh A Sorond, Shyam Prabhakaran, Michael M Abecassis, Jonathan P Fryer, Eric M Liotta

Abstract read
In one paragraph

Article in Transplantation, 2018. 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.

  1. Article
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  4. Review
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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

9 authors.

Tom K GallagherNorthwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, IL.
Kathryn A ThomasNorthwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, IL.
Daniela P LadnerNorthwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, IL.
Daniel GangerNorthwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, IL.
Farzaneh A SorondDepartment of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL.
Shyam PrabhakaranDepartment of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL.
Michael M AbecassisNorthwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, IL.
Jonathan P FryerNorthwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, IL.
Eric M LiottaNorthwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, IL.

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Northwestern University Clinical and Translational Science Institute (NUCATS)KL2TR001424 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI SHARMA, LEENA · 2015 to 2023
$8.1M
NCATS NIH HHS KL2 TR001424NCATS NIH HHS UL1 TR001422NINDS NIH HHS L30 NS098427
6 · The paper itself

Abstract

backgroundIntracranial hemorrhage after liver transplantation is an infrequently reported complication but one which can have devastating consequences.

methodsWe performed a retrospective cross-sectional analysis of all liver transplants performed between January 2010 and June 2015 at a single high-volume institution using a prospectively maintained electronic database and query of the electronic medical record. Cases of intracranial hemorrhage were adjudicated as either spontaneous intraparenchymal hemorrhage(IPH) or extra-axial hemorrhage (EAH). Patients with confirmed intracranial hemorrhage were compared with all other liver transplant recipients. Risk factors were identified by univariate analysis and logistic regression models for IPH and EAH.

resultsThirty-one (5.2%) of 595 liver transplant recipients developed an intracranial hemorrhage within 12 months of transplantation, 15 IPH and 16 EAH. The majority of intracranial hemorrhages were diagnosed within 1 month of transplantation. Eight (26%) intracranial hemorrhage patients died during hospitalization. Fourteen (45%) intracranial hemorrhage patients died within 1 year of transplantation and 1-year mortality was greater than in patients without intracranial hemorrhage (11.2%, P < 0.01). Female sex (adjusted odds ratio [OR], 3.291; 95% confidence interval [CI], 1.092-9.924; P = 0.034), higher pretransplant bilirubin (adjusted OR, 1.037; 95% CI, 1.006-1.070; P = 0.020), and greater increase in pretransplant to posttransplant systolic blood pressure (adjusted OR, 1.029; 95% CI, 1.006-1.052; P = 0.012) were associated with posttransplant IPH. Lower pretransplant serum fibrinogen level (adjusted OR, 0.988; 95% CI, 0.979-0.998; P = 0.017) was associated with posttransplant EAH.

conclusionsPostoperative blood pressure control and pretransplant fibrinogen levels may be modifiable risk factors for preventing posttransplant intracranial hemorrhage.

Indexed as

AdultAgedBlood PressureFemaleHumansIncidenceIntracranial HemorrhagesLiver TransplantationMaleMiddle AgedRisk Factors

Identifiers

PMID29189631
PMCPMC5820203

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.