Evidence map›Paper›PMID 26138599›Full record

ArticleHealth and quality of life outcomes2015

Quantifying the importance of disease burden on perceived general health and depressive symptoms in patients within the Mayo Clinic Biobank.

Euijung Ryu, Paul Y Takahashi, Janet E Olson, Matthew A Hathcock, Paul J Novotny, Jyotishman Pathak, Suzette J Bielinski, James R Cerhan, Jeff A Sloan

Open access · goldAbstract read
In one paragraph

Article in Health and quality of life outcomes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
8.7field-weighted citation impact, top 3% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
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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

9 authors at 1 institution in 1 country.

Euijung RyuDepartment of Health Sciences Research, Rochester, MN, USA. ryu.euijung@mayo.edu.
Paul Y TakahashiDepartment of Medicine, Mayo Clinic, Rochester, MN, USA. takahashi.paul@mayo.edu.
Janet E OlsonDepartment of Health Sciences Research, Rochester, MN, USA. olsonj@mayo.edu.
Matthew A HathcockDepartment of Health Sciences Research, Rochester, MN, USA. hathcock.matthew@mayo.edu.
Paul J NovotnyDepartment of Health Sciences Research, Rochester, MN, USA. novotny@mayo.edu.
Jyotishman PathakDepartment of Health Sciences Research, Rochester, MN, USA. pathak.jyotishman@mayo.edu.
Suzette J BielinskiDepartment of Health Sciences Research, Rochester, MN, USA. bielinski.suzette@mayo.edu.
James R CerhanDepartment of Health Sciences Research, Rochester, MN, USA. cerhan.james@mayo.edu.
Jeff A SloanDepartment of Health Sciences Research, Rochester, MN, USA. jsloan@mayo.edu.
Mayo Clinic in Arizona · US

Funding

National Infrastructure for Standardized and Portable EHR Phenotyping AlgorithmsR01GM105688 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI LUO, YUAN, PATHAK, JYOTISHMAN · 2013 to 2020
$5.7M
Modeling Social Behavior for Healthcare Utilization in DepressionR01MH105384 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI PATHAK, JYOTISHMAN, SHETH, AMIT P · 2015 to 2018
$2.1M
NIGMS NIH HHS R01 GM105688NIMH NIH HHS R01 MH105384
6 · The paper itself

Abstract

backgroundDeficits in health-related quality of life (HRQOL) may be associated with worse patient experiences, outcomes and even survival. While there exists evidence to identify risk factors associated with deficits in HRQOL among patients with individual medical conditions such as cancer, it is less well established in more general populations without attention to specific illnesses. This study used patients with a wide range of medical conditions to identify contributors with the greatest influence on HRQOL deficits.

methodsSelf-perceived general health and depressive symptoms were assessed using data from 21,736 Mayo Clinic Biobank (MCB) participants. Each domain was dichotomized into categories related to poor health: deficit (poor/fair for general health and ≥3 for PHQ-2 depressive symptoms) or non-deficit. Logistic regression models were used to test the association of commonly collected demographic characteristics and disease burden with each HRQOL domain, adjusting for age and gender. Gradient boosting machine (GBM) models were applied to quantify the relative influence of contributors on each HRQOL domain.

resultsThe prevalence of participants with a deficit was 9.5 % for perception of general health and 4.6 % for depressive symptoms. For both groups, disease burden had the strongest influence for deficit in HRQOL (63 % for general health and 42 % for depressive symptoms). For depressive symptoms, age was equally influential. The prevalence of a deficit in general health increased slightly with age for males, but remained stable across age for females. Deficit in depressive symptoms was inversely associated with age. For both HRQOL domains, risk of a deficit was associated with higher disease burden, lower levels of education, no alcohol consumption, smoking, and obesity. Subjects with deficits were less likely to report that they were currently working for pay than those without a deficit; this association was stronger among males than females.

conclusionsComorbid health burden has the strongest influence on deficits in self-perceived general health, while demographic factors show relatively minimal impact. For depressive symptoms, both age and comorbid health burden were equally important, with decreasing deficits in depressive symptoms with increasing age. For interpreting patient-reported metrics and comparison, one must account for comorbid health burden.

Indexed as

Severity of Illness IndexAdultAgedChronic DiseaseComorbidityDepressionFemaleHumansLogistic ModelsMaleMiddle AgedPrevalenceQuality of LifeRisk FactorsSickness Impact ProfileSurveys and Questionnaires

Identifiers

PMID26138599
PMCPMC4490595
OpenAlexW2162317278

What OpenQuestion holds

Textmetadata
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.