Evidence map›Paper›PMID 28258378›Full record

ArticleDigestive diseases and sciences2017

Symptom Domain Groups of the Patient-Reported Outcomes Measurement Information System Tools Independently Predict Hospitalizations and Re-hospitalizations in Cirrhosis.

Kavish R Patidar, Leroy R Thacker, James B Wade, Melanie B White, Edith A Gavis, Andrew Fagan, Richard K Sterling, Michael Fuchs, Mohammad S Siddiqui, Scott Matherly and 5 more

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Article in Digestive diseases and sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 28% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 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

15 authors at 2 institutions in 1 country.

Kavish R PatidarDivision of Gastroenterology, Hepatology and Nutrition, Virginia Commonwealth University and McGuire VA Medical Center, 1201 Broad Rock Boulevard, Richmond, VA, USA.
Leroy R ThackerDepartment of Biostatistics, Virginia Commonwealth University and McGuire VA Medical Center, Richmond, VA, USA.
James B WadeDepartment of Psychiatry, Virginia Commonwealth University and McGuire VA Medical Center, Richmond, VA, USA.
Melanie B WhiteDivision of Gastroenterology, Hepatology and Nutrition, Virginia Commonwealth University and McGuire VA Medical Center, 1201 Broad Rock Boulevard, Richmond, VA, USA.
Edith A GavisDivision of Gastroenterology, Hepatology and Nutrition, Virginia Commonwealth University and McGuire VA Medical Center, 1201 Broad Rock Boulevard, Richmond, VA, USA.
Andrew FaganDivision of Gastroenterology, Hepatology and Nutrition, Virginia Commonwealth University and McGuire VA Medical Center, 1201 Broad Rock Boulevard, Richmond, VA, USA.
Richard K SterlingDivision of Gastroenterology, Hepatology and Nutrition, Virginia Commonwealth University and McGuire VA Medical Center, 1201 Broad Rock Boulevard, Richmond, VA, USA.
Michael FuchsDivision of Gastroenterology, Hepatology and Nutrition, Virginia Commonwealth University and McGuire VA Medical Center, 1201 Broad Rock Boulevard, Richmond, VA, USA.
Mohammad S SiddiquiDivision of Gastroenterology, Hepatology and Nutrition, Virginia Commonwealth University and McGuire VA Medical Center, 1201 Broad Rock Boulevard, Richmond, VA, USA.
Scott MatherlyDivision of Gastroenterology, Hepatology and Nutrition, Virginia Commonwealth University and McGuire VA Medical Center, 1201 Broad Rock Boulevard, Richmond, VA, USA.
Richard T StravitzDivision of Gastroenterology, Hepatology and Nutrition, Virginia Commonwealth University and McGuire VA Medical Center, 1201 Broad Rock Boulevard, Richmond, VA, USA.
Arun J SanyalDivision of Gastroenterology, Hepatology and Nutrition, Virginia Commonwealth University and McGuire VA Medical Center, 1201 Broad Rock Boulevard, Richmond, VA, USA.
Puneet PuriDivision of Gastroenterology, Hepatology and Nutrition, Virginia Commonwealth University and McGuire VA Medical Center, 1201 Broad Rock Boulevard, Richmond, VA, USA.
Velimir A LuketicDivision of Gastroenterology, Hepatology and Nutrition, Virginia Commonwealth University and McGuire VA Medical Center, 1201 Broad Rock Boulevard, Richmond, VA, USA.
Jasmohan S BajajDivision of Gastroenterology, Hepatology and Nutrition, Virginia Commonwealth University and McGuire VA Medical Center, 1201 Broad Rock Boulevard, Richmond, VA, USA. jsbajaj@vcu.edu.
Virginia Commonwealth University · USHunter Holmes McGuire VA Medical Center · US

Funding

Studies on intestine-enriched transcription factor, IKFLR01DK058701 · NIDDK · UNIVERSITY OF CINCINNATI · PI COHEN, MITCHELL B · 2001 to 2005
$1.3M
NIDDK NIH HHS R01 DK058701
6 · The paper itself

Abstract

backgroundPatient-Reported Outcomes Measurement Information System (PROMIS) tools can identify health-related quality of life (HRQOL) domains that could differentially affect disease progression. Cirrhotics are highly prone to hospitalizations and re-hospitalizations, but the current clinical prognostic models may be insufficient, and thus studying the contribution of individual HRQOL domains could improve prognostication.

aimAnalyze the impact of individual HRQOL PROMIS domains in predicting time to all non-elective hospitalizations and re-hospitalizations in cirrhosis.

methodsOutpatient cirrhotics were administered PROMIS computerized tools. The first non-elective hospitalization and subsequent re-hospitalizations after enrollment were recorded. Individual PROMIS domains significantly contributing toward these outcomes were generated using principal component analysis. Factor analysis revealed three major PROMIS domain groups: daily function (fatigue, physical function, social roles/activities and sleep issues), mood (anxiety, anger, and depression), and pain (pain behavior/impact) accounted for 77% of the variability. Cox proportional hazards regression modeling was used for these groups to evaluate time to first hospitalization and re-hospitalization.

resultsA total of 286 patients [57 years, MELD 13, 67% men, 40% hepatic encephalopathy (HE)] were enrolled. Patients were followed at 6-month (mth) intervals for a median of 38 mths (IQR 22-47), during which 31% were hospitalized [median IQR mths 12.5 (3-27)] and 12% were re-hospitalized [10.5 mths (3-28)]. Time to first hospitalization was predicted by HE, HR 1.5 (CI 1.01-2.5, p = 0.04) and daily function PROMIS group HR 1.4 (CI 1.1-1.8, p = 0.01), independently. In contrast, the pain PROMIS group were predictive of the time to re-hospitalization HR 1.6 (CI 1.1-2.3, p = 0.03) as was HE, HR 2.1 (CI 1.1-4.3, p = 0.03).

conclusionsDaily function and pain HRQOL domain groups using PROMIS tools independently predict hospitalizations and re-hospitalizations in cirrhotic patients.

Indexed as

Diagnosis, Computer-AssistedHealth SurveysHospitalizationFemaleHealth Status IndicatorsHumansLiver CirrhosisMaleMiddle AgedQuality of LifeRisk FactorsCirrhosisHealthcare-related quality of lifeHepatic encephalopathyPatient-reported outcomesPatient-Reported Outcomes Measurement Information System

Identifiers

PMID28258378
OpenAlexW2592231115

What OpenQuestion holds

Textmetadata
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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.