Evidence map›Paper›PMID 28666053›Full record

ArticleResearch in nursing & health2017

Background and design of the symptom burden in end-stage liver disease patient-caregiver dyad study.

Lissi Hansen, Karen S Lyons, Nathan F Dieckmann, Michael F Chang, Shirin Hiatt, Emma Solanki, Christopher S Lee

Abstract read
In one paragraph

Article in Research in nursing & health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

14 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Longitudinal changes in physical and psychological outcomes in spousal vs. non-spousal caregivers for patients with end-stage liver disease.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  4. Article
  5. Article
  6. Symptom Classes in Decompensated Liver Disease.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2022
    Article
  7. Article
  8. Review
  9. Review
  10. Physical and Mental Quality of Life in Patients With End-Stage Liver Disease and Their Informal Caregivers.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2021
    Article
  11. Approaches to Assessing Burden in Caregivers of Patients with Cirrhosis.Journal of clinical and translational hepatology · 2020
    Article
  12. Review
  13. Article
  14. 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.

Lissi HansenSchool of Nursing, Oregon Health and Science University, Portland, Oregon.ORCID 0000-0003-3207-4736
Karen S LyonsSchool of Nursing, Oregon Health and Science University, Portland, Oregon.
Nathan F DieckmannSchool of Nursing, Oregon Health and Science University, Portland, Oregon.
Michael F ChangGastroenterology and Hepatology, VA Portland Healthcare System, Portland, Oregon.
Shirin HiattSchool of Nursing, Oregon Health and Science University, Portland, Oregon.
Emma SolankiSchool of Nursing, Oregon Health and Science University, Portland, Oregon.
Christopher S LeeSchool of Nursing, Oregon Health and Science University, Portland, Oregon.
Oregon Health & Science University · USVA Portland Health Care System · US

Funding

Symptom burden in End-Stage Liver Disease patient-caregiver dyadsR01NR016017 · NINR · OREGON HEALTH & SCIENCE UNIVERSITY · PI HANSEN, LISSI · 2016 to 2020
$1.9M
NINR NIH HHS R01 NR016017
6 · The paper itself

Abstract

Over half a million Americans are affected by cirrhosis, the cause of end-stage liver disease (ESLD). Little is known about how symptom burden changes over time in adults with ESLD and their informal caregivers, which limits our ability to develop palliative care interventions that can optimize symptom management and quality of life in different patient-caregiver dyads. The purpose of this article is to describe the background and design of a prospective, longitudinal descriptive study, "Symptom Burden in End-Stage Liver Disease Patient-Caregiver Dyads," which is currently in progress. The study is designed to (i) identify trajectories of change in physical and psychological symptom burden in adults with ESLD; (ii) identify trajectories of change in physical and psychological symptom burden in caregivers of adults with ESLD; and (iii) determine predictors of types of patient-caregiver dyads that would benefit from tailored palliative care interventions. We aim for a final sample of 200 patients and 200 caregivers who will be followed over 12 months. Integrated multilevel and latent growth mixture modeling will be used to identify trajectories of change in symptom burden, linking those changes to clinical events, and quality of life outcomes and characterizing types of patient-caregiver dyads based on patient-, caregiver-, and dyad-level factors. Challenges we have encountered include unexpected attrition of study participants, participants not returning their baseline questionnaires, and hiring and training of research staff. The study will lay the foundation for future research and innovation in ESLD, end-of-life and palliative care, and caregiving.

Indexed as

AdultAgedAged, 80 and overCaregiversEnd Stage Liver DiseaseFemaleHumansLiver CirrhosisLongitudinal StudiesMaleMiddle AgedNursing ResearchPalliative CarePatientsProspective StudiesQuality of Lifecaregiversliver cirrhosispalliative carequality of liferesearch protocol

Identifiers

PMID28666053
PMCPMC5597485
OpenAlexW2727074384

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.