Evidence map›Paper›PMID 39091090›Full record

ArticleRenal failure2024

Using latent variables to improve the management of depression among hemodialysis patients.

Douglas D Gunzler, Jacqueline Dolata, Maria Figueroa, Kelley Kauffman, Julie Pencak, Martha Sajatovic, Ashwini R Sehgal

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Renal failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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.

Douglas D GunzlerCenter for Health Care Research and Policy, Population Health and Equity Research Institute, The MetroHealth System, Cleveland, OH, USA.
Jacqueline DolataCenter for Health Care Research and Policy, Population Health and Equity Research Institute, The MetroHealth System, Cleveland, OH, USA.
Maria FigueroaCenter for Health Equity, Engagement, Education and Research, Population Health and Equity Research Institute, The MetroHealth System, Cleveland, OH, USA.
Kelley KauffmanCenter for Health Equity, Engagement, Education and Research, Population Health and Equity Research Institute, The MetroHealth System, Cleveland, OH, USA.
Julie PencakCenter for Health Equity, Engagement, Education and Research, Population Health and Equity Research Institute, The MetroHealth System, Cleveland, OH, USA.
Martha SajatovicSchool of Medicine, Case Western Reserve University, Cleveland, OH, USA.
Ashwini R SehgalSchool of Medicine, Case Western Reserve University, Cleveland, OH, USA.

Funding

Using Latent Variables And Directly Observed Treatment To Improve The Diagnosis And Management of Depression Among Hemodialysis PatientsR01DK112905 · NIDDK · CASE WESTERN RESERVE UNIVERSITY · PI GUNZLER, DOUGLAS D, SEHGAL, ASHWINI · 2018 to 2022
$2.1M
NIDDK NIH HHS R01 DK112905
6 · The paper itself

Abstract

backgroundScreening for depression can be challenging among hemodialysis patients due to the overlap of depressive symptoms with dialysis or kidney disease related symptoms. The aim of this study was to understand these overlapping symptoms and develop a depression screening tool for better clinical assessment of depressive symptoms in dialysis patients.

methodsWe surveyed 1,085 dialysis patients between March 1, 2018 and February 28, 2023 at 15 dialysis facilities in Northeast Ohio with the 9-item patient health questionnaire (PHQ-9) and kidney disease quality of life (KDQOL) instrument. To evaluate overlap across questionnaire items, we used structural equation modeling (SEM). We predicted and transformed factor scores to create a hemodialysis-adjusted PHQ-9 (hdPHQ-9). In exploratory analysis (

resultsOur study sample included a high percentage of Black patients (74.6%) and 157 (14.5%) survey participants screened positive for depression (PHQ-9 ≥ 10). The magnitude of overlap was small for (respectively, PHQ-9 item with KDQOL

conclusionThere is little overlap between depressive symptoms and dialysis or kidney disease symptoms. The PHQ-9 was found to be an appropriate depression screening instrument for dialysis patients.

Indexed as

DepressionQuality of LifeRenal DialysisAdultAgedFemaleHumansKidney Failure, ChronicMaleMass ScreeningMiddle AgedOhioSurveys and Questionnairesdepression screeningdifferential item functioningHemodialysismultiple indicator multiple cause modelingstructural equation modeling

Identifiers

PMID39091090
PMCPMC11299459

What OpenQuestion holds

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LicenceCC BY
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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.