Evidence map›Paper›PMID 27980860›Full record

ArticleJournal of transplantation2016

Pretransplant Factors and Associations with Postoperative Respiratory Failure, ICU Length of Stay, and Short-Term Survival after Liver Transplantation in a High MELD Population.

Mark R Pedersen, Myunghan Choi, Jeffrey A Brink, Anil B Seetharam

Open access · goldAbstract read
In one paragraph

Article in Journal of transplantation, 2016. 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
1.9field-weighted citation impact, top 13% 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, 18 citations in OpenAlex.

  1. Observational
  2. Article
  3. Observational
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

4 authors at 2 institutions in 1 country.

Mark R PedersenDepartment of Internal Medicine, Banner University Medical Center, University of Arizona College of Medicine, Phoenix, AZ, USA.
Myunghan ChoiArizona State University College of Nursing and Health Care Innovation, Phoenix, AZ, USA.
Jeffrey A BrinkArizona Transplant Associates, Phoenix, AZ, USA; Banner Transplant and Advanced Liver Disease Center, University of Arizona College of Medicine, Phoenix, AZ, USA.
Anil B SeetharamBanner Transplant and Advanced Liver Disease Center, University of Arizona College of Medicine, Phoenix, AZ, USA; Division of Gastroenterology, Banner University Medical Center, University of Arizona College of Medicine, Phoenix, AZ, USA.ORCID 0000-0001-7090-3035
University of Arizona · USArizona State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Changes in distribution policies have increased median MELD at transplant with recipients requiring increasing intensive care perioperatively. We aimed to evaluate association of preoperative variables with postoperative respiratory failure (PRF)/increased intensive care unit length of stay (ICU LOS)/short-term survival in a high MELD cohort undergoing liver transplant (LT). Retrospective analysis identified cases of PRF and increased ICU LOS with recipient, donor, and surgical variables examined. Variables were entered into regression with end points of PRF and ICU LOS > 3 days. 164 recipients were examined: 41 (25.0%) experienced PRF and 74 (45.1%) prolonged ICU LOS. Significant predictors of PRF with univariate analysis: BMI > 30, pretransplant MELD, preoperative respiratory failure, LVEF < 50%, FVC < 80%, intraoperative transfusion > 6 units, warm ischemic time > 4 minutes, and cold ischemic time > 240 minutes. On multivariate analysis, only pretransplant MELD predicted PRF (OR 1.14,

Identifiers

PMID27980860
PMCPMC5131244
OpenAlexW2550476296

What OpenQuestion holds

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LicenceCC BY
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.