Evidence map›Paper›PMID 29024364›Full record

ArticleAmerican journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons2018

Healthcare utilization after liver transplantation is highly variable among both centers and recipients.

T Bittermann, R A Hubbard, M Serper, J D Lewis, S F Hohmann, L B VanWagner, D S Goldberg

Open access · bronzeAbstract read
In one paragraph

Article in American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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

7 authors at 2 institutions in 1 country.

T BittermannDivision of Gastroenterology & Hepatology, University of Pennsylvania, Philadelphia, PA, USA.
R A HubbardCenter for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA, USA.
M SerperDivision of Gastroenterology & Hepatology, University of Pennsylvania, Philadelphia, PA, USA.
J D LewisDivision of Gastroenterology & Hepatology, University of Pennsylvania, Philadelphia, PA, USA.
S F HohmannCenter for Advanced Analytics, Vizient, Chicago, IL, USA.
L B VanWagnerDivision of Gastroenterology & Hepatology and Department of Preventive Medicine, Northwestern University, Chicago, IL, USA.
D S GoldbergDivision of Gastroenterology & Hepatology, University of Pennsylvania, Philadelphia, PA, USA.
University of Pennsylvania · USNorthwestern University · US

Funding

CLINICAL EPIDEMIOLOGY TRAINING IN GASTROENTEROLOGYT32DK007740 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI James D Lewis · 1997 to 2026
$9.2M
Northwestern University Clinical and Translational Science Institute (NUCATS)KL2TR001424 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI SHARMA, LEENA · 2015 to 2023
$8.1M
Test-Treat strategy to prevent ulcerative colitis relapseK24DK078228 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI LEWIS, JAMES D · 2007 to 2016
$1.9M
A population-based cohort to study outcomes in end-stage liver disease patientsK08DK098272 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI GOLDBERG, DAVID SETH · 2013 to 2017
$786k
Implementation science to improve cardiovascular outcomes among liver transplant recipientsK23HL136891 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI VANWAGNER, LISA B · 2017 to 2020
$757k
Derivation and validation of a cardiac risk index in liver transplantationF32HL116151 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI VANWAGNER, LISA B · 2012 to 2013
$122k
NCATS NIH HHS KL2 TR001424NHLBI NIH HHS F32 HL116151NHLBI NIH HHS K23 HL136891NIDDK NIH HHS K08 DK098272NIDDK NIH HHS K24 DK078228NIDDK NIH HHS L30 DK110788NIDDK NIH HHS T32 DK007740
6 · The paper itself

Abstract

The relationship between healthcare utilization before and after liver transplantation (LT), and its association with center characteristics, is incompletely understood. This was a retrospective cohort study of 34 402 adult LTs between 2002 and 2013 using Vizient inpatient claims data linked to the United Network for Organ Sharing (UNOS) database. Multivariable mixed-effects linear regression models evaluated the association between hospitalization 90 days pre-LT and the number of days alive and out of the hospital (DAOH) 1 year post-LT. Of those patients alive at LT discharge, 24.7% spent ≥30 days hospitalized during the first year. Hospitalization in the 90 days pre-LT was inversely associated with DAOH (β = -3.4 DAOH/week hospitalized pre-LT; P = .002). Centers with >30% of their liver transplant recipients hospitalized ≥30 days in the first LT year were typically smaller volume and/or transplanting higher risk recipients (Model for End-Stage Liver Disease [MELD] score ≥35, inpatient or ventilated pre-LT). In conclusion, pre-LT hospitalization predicts 1-year post-LT hospitalization independent of MELD score at the patient-level, whereas center-specific post-LT healthcare utilization is associated with certain center behaviors and selection practices.

Indexed as

Patient Acceptance of Health CareEnd Stage Liver DiseaseFemaleFollow-Up StudiesHospitalizationHospitals, High-VolumeHospitals, Low-VolumeHumansLiver TransplantationMaleMiddle AgedPatient ReadmissionPrognosisRetrospective StudiesSeverity of Illness IndexTransplant Recipientsclinical decision-makingclinical research/practicecomorbiditieshealth services and outcomes researchhospital readmissionliver transplantation/hepatologypatient characteristicspatient survival

Identifiers

PMID29024364
PMCPMC5895535
OpenAlexW2763758260

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.