Evidence map›Paper›PMID 32166439›Full record

Observational studyRheumatology international2020

Longitudinal associations between depressive symptoms and clinical factors in ankylosing spondylitis patients: analysis from an observational cohort.

Mark C Hwang, Min Jae Lee, Lianne S Gensler, Michael M Ward, Matthew A Brown, Seth Eisen, Thomas J Learch, Amirali Tahanan, Mohammad H Rahbar, Mariko L Ishimori and 2 more

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Rheumatology international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

12 authors.

Mark C HwangDivision of Rheumatology, Department of Internal Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, 6431 Fannin MSB 5.270, Houston, TX, 77030, USA. Mark.C.Hwang@uth.tmc.edu.ORCID http://orcid.org/0000-0003-2160-1481
Min Jae LeeDivision of Clinical and Translational Sciences, Department of Internal Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.ORCID http://orcid.org/0000-0002-4329-506X
Lianne S GenslerDivision of Rheumatology, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-6314-5336
Michael M WardNational Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health Bethesda, Bethesda, MD, USA.
Matthew A BrownInstitute of Health and Biomedical Innovation, Queensland University of Technology, Translational Research Institute, Princess Alexandra Hospital, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0003-0538-8211
Seth EisenDepartment of Medicine, Division of Rheumatology, Washington University at St. Louis, St. Louis, MO, USA.
Thomas J LearchDivision of Rheumatology, Cedars Sinai Medical Center, Los Angeles, CA, USA.
Amirali TahananDivision of Clinical and Translational Sciences, Department of Internal Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.
Mohammad H RahbarDivision of Clinical and Translational Sciences, Department of Internal Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.
Mariko L IshimoriDivision of Rheumatology, Cedars Sinai Medical Center, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-0421-8854
Michael H WeismanDivision of Rheumatology, Cedars Sinai Medical Center, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0001-5568-388X
John D ReveilleDivision of Rheumatology, Department of Internal Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, 6431 Fannin MSB 5.270, Houston, TX, 77030, USA.ORCID http://orcid.org/0000-0001-5950-0913

Funding

Convalescent Plasma to Limit Coronavirus Associated ComplicationsUL1TR003167 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KARP, DANIEL D, MCPHERSON, DAVID D · 2019 to 2023
$45.3M
The Genetic Basis of AS SusceptibilityP01AR052915 · NIAMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI REVEILLE, JOHN DUFFIN · 2006 to 2016
$10.9M
Institutional Career Development CoreKL2TR003168 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MILLER, CHARLES C · 2019 to 2023
$4.9M
NCATS NIH HHS 1KL2-TR-003168-01NCATS NIH HHS KL2 TR003168NCATS NIH HHS UL1 TR003167 01NIAMS NIH HHS P01-052915-06
6 · The paper itself

Abstract

objectivesAlthough cross-sectional studies have shown that ankylosing spondylitis-specific factors correlate with depressive symptom severity, the association of these factors over time is unresolved. We examined the demographic and clinical factors associated with longitudinal depressive symptom severity in AS patients.

methodsWe analyzed sociodemographic, clinical, behavioral and medication data from 991 patients from the Prospective Study of Outcomes in Ankylosing spondylitis cohort, and measured depression severity with the Center for Epidemiological Studies Depression (CES-D) Scale administered at approximately 6-month visit intervals. Multivariable longitudinal negative binomial regression models were conducted using generalized estimating equation modeling to assess the demographic, clinical, and medication-related factors associated with depression severity by CES-D scores over time.

resultsThe median baseline CES-D score (possible range 0-60) was 10.0 (interquartile range = 5, 17). In longitudinal multivariable analyses, higher CES-D scores were associated with longitudinal smoking, greater functional impairment, greater disease activity, self-reported depression, and poor global health scores. Marital status (e.g., being married) was associated with lower CES-D. Adjusted mean CES-D scores in our model decreased over time, with a significant interaction between time and gender observed.

conclusionThis study identified longitudinal clinical factors such as greater disease activity, greater functional impairment, and poor global health to be associated with longitudinal depression severity. These factors are potentially modifiable and may help manage depressive symptoms in AS.

Indexed as

Activities of Daily LivingAdultAnalgesics, OpioidAntidepressive AgentsAnti-Inflammatory Agents, Non-SteroidalCohort StudiesDepressionFemaleHumansLongitudinal StudiesMaleMiddle AgedNeuromuscular AgentsSeverity of Illness IndexSpondylitis, AnkylosingTumor Necrosis Factor InhibitorsAnalgesics, OpioidAntidepressive AgentsAnti-Inflammatory Agents, Non-SteroidalNeuromuscular AgentsTumor Necrosis Factor InhibitorsAnkylosing spondylitisComorbiditiesDepressionPharmacologic therapy

Identifiers

PMID32166439

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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.