Evidence map›Paper›PMID 35694557›Full record

ArticleKidney international reports2022

Depressive Symptoms at Kidney Transplant Evaluation and Access to the Kidney Transplant Waitlist.

Xiaomeng Chen, Nadia M Chu, Pragyashree Sharma Basyal, Wasurut Vihokrut, Deidra Crews, Daniel C Brennan, Sarah R Andrews, Tracy D Vannorsdall, Dorry L Segev, Mara A McAdams-DeMarco

Abstract read
In one paragraph

Article in Kidney international reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Observational
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. A cross-sectional study on assessing depression among hemodialysis patients.Journal of advanced pharmaceutical technology & research
    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

10 authors.

Xiaomeng ChenDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Nadia M ChuDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Pragyashree Sharma BasyalDivision of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Wasurut VihokrutDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Deidra CrewsDivision of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Daniel C BrennanDivision of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Sarah R AndrewsDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Tracy D VannorsdallDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Dorry L SegevDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Mara A McAdams-DeMarcoDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Funding

Kidney transplantation in older, frail and cognitively impaired adults with ESRD: Balancing utility vs. justiceR01AG055781 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MCADAMS DEMARCO, MARA A. · 2017 to 2021
$4.2M
Hemodialysis-based interventions to preserve cognitive functionR01DK114074 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MCADAMS DEMARCO, MARA A. · 2018 to 2022
$3.9M
Patient Oriented Research in Solid Organ TransplantationK24AI144954 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SEGEV, DORRY L. · 2020 to 2024
$956k
Frailty, Post-Transplant Delirium, and Neurocognitive Underpinnings of AlzheimersK01AG064040 · NIA · JOHNS HOPKINS UNIVERSITY · PI CHU, NADIA MIKHAIL · 2020 to 2022
$390k
NIAID NIH HHS K24 AI144954NIA NIH HHS K01 AG064040NIA NIH HHS R01 AG055781NIDDK NIH HHS R01 DK114074
6 · The paper itself

Abstract

Introduction: Depressive symptoms, even without a clinical diagnosis of depression, are common in kidney failure patients and may be a barrier to completing the complex process of kidney transplant (KT) evaluation. We assessed depressive symptom burden and association between depressive symptoms and access to KT waitlist by age. Methods: In a prospective cohort of 3728 KT patients (aged 18-88 years), the Center for Epidemiologic Studies-Depression (CES-D) scale was used to measure depressive symptoms at evaluation. Depressive symptom severity was defined as follows: none: 0; minimal: 1 to 15; mild: 16 to 20; moderate: 21 to 25; severe: 26 to 60. Hazard ratios (HRs) of active listing within 1 year after evaluation were estimated using Cox proportional hazards models, adjusted for clinical and social factors. Results: At evaluation, 85.8% of the patients reported at least minimal depressive symptoms; the proportion was lower among older patients: 18 to 29 years = 92.0%; 30 to 39 years = 88.3%; 40 to 49 years = 87.2%; 50 to 59 years = 87.0%; 60 to 69 years = 83.4%; and ≥70 years = 82.0%. Chance of active listing decreased with more severe depressive symptoms (log-rank, Conclusion: Older candidates were less likely to report depressive symptoms at KT evaluation. Regardless of age, candidates who did report depressive symptoms, and even minimal symptoms, had a lower chance of listing. Transplant centers should routinely screen patients for depressive symptoms and refer the affected patients to mental health services to improve access to KT.

Indexed as

agedepressive symptomsend-stage kidney diseasekidney transplantationwaitlisting

Identifiers

PMID35694557
PMCPMC9174041

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.