Evidence map›Paper›PMID 30393768›Full record

ArticleRomanian journal of anaesthesia and intensive care2018

Rotational thromboelastometry (ROTEM) 24 hours post liver transplantation predicts early allograft dysfunction.

Dana Tomescu, Mihai Popescu, Simona Olimpia Dima

Open access · diamondAbstract read
In one paragraph

Article in Romanian journal of anaesthesia and intensive care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 6 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

3 authors at 1 institution in 1 country.

Dana TomescuFundeni Clinical Institute, Department of Anaesthesia and Critical Care, Bucharest, Romania.
Mihai PopescuFundeni Clinical Institute, Department of Anaesthesia and Critical Care, Bucharest, Romania.
Simona Olimpia DimaFundeni Clinical Institute, "Dan Setlacec" Center for General Surgery and Liver Transplantation, Bucharest, Romania.
Institutul Clinic Fundeni · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early allograft dysfunction (EAD) represents one of the most common and serious complications after liver transplantation (LT).

methodsOne hundred sixty-four patients who underwent LT were prospectively included in the present study. Patient demographics, intraoperative blood loss and transfusion were recorded at the time of LT. Lactate levels were recorded during surgery and daily for the first 3 postoperative days. Standard and derived rotational thromboelastometry (ROTEM) parameters were recorded 24 hours after LT. EAD was diagnosed according to Nanashima criteria and post anaesthesia care unit length of stay was recorded.

resultsForty-seven patients (28.6%) developed EAD. Intraoperative blood loss (p = 0.01), packed red blood cells (p = 0.04) and fresh frozen plasma (p = 0.01) transfusion represented intraoperative risk factors for EAD. Lactate levels were significantly higher in patients with EAD at all time points. Patients with EAD demonstrated an increased clot formation time and decreased maximum clot firmness in both intrinsically (p < 0.01) and extrinsically (p < 0.01) activated assay, a decreased thrombin potential index (p < 0.01), area under the curve (p < 0.01) and clot elasticity (p < 0.01) on ROTEM assay.

conclusionOur results show that both standard and derived ROTEM parameters may indicate early signs of graft failure and can aid in the diagnosis of EAD.

Indexed as

coagulationearly allograft dysfunctionliver transplantationrotational thromboelastometry

Identifiers

PMID30393768
PMCPMC6211610
OpenAlexW3024969572

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.