Evidence map›Paper›PMID 36090502›Full record

ArticleKidney international reports2022

Physical Resilience Phenotype Trajectories in Incident Hemodialysis: Characterization and Mortality Risk Assessment.

Melissa D Hladek, Jiafeng Zhu, Deidra C Crews, Mara A McAdams-DeMarco, Brian Buta, Ravi Varadhan, Tariq Shafi, Jeremy D Walston, Karen Bandeen-Roche

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Observational
  2. Review
  3. Article
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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.

Melissa D HladekJohns Hopkins School of Nursing, Baltimore, Maryland, USA.
Jiafeng ZhuDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Deidra C CrewsDivision of Nephrology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Mara A McAdams-DeMarcoDepartment of Surgery, New York University Grossman School of Medicine, New York, New York, USA.
Brian ButaDivision of Geriatric Medicine and Gerontology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Ravi VaradhanDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Tariq ShafiDivision of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, USA.
Jeremy D WalstonDivision of Geriatric Medicine and Gerontology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Karen Bandeen-RocheJohns Hopkins School of Nursing, Baltimore, Maryland, USA.

Funding

ConProject-001UH3AG056933 · NIA · JOHNS HOPKINS UNIVERSITY · PI BANDEEN-ROCHE, KAREN J., VARADHAN, RAVI · 2019 to 2021
$7.0M
Characterizing Resiliencies to Physical Stressors in Older Adults: A Dynamical Physiological Systems ApproachUH2AG056933 · NIA · JOHNS HOPKINS UNIVERSITY · PI BANDEEN-ROCHE, KAREN J., VARADHAN, RAVI · 2017 to 2018
$3.5M
NIA NIH HHS UH2 AG056933NIA NIH HHS UH3 AG056933
6 · The paper itself

Abstract

Introduction: Although life-saving, the physiologic stress of hemodialysis initiation contributes to physical impairment in some patients. Mortality risk assessment following hemodialysis initiation is underdeveloped and does not account for change over time. Measures of physical resilience, the ability of a physiologic state to overcome physiologic stressors, may help identify patients at higher mortality risk and inform clinical management. Methods: We created 3 resilience categories (improving, stable, and declining) for trajectories of 4 phenotypes (physical function [PF], mental health [MH], vitality [VT], and general health [GH]) using SF-36 data collected the first year after hemodialysis initiation in the Choices for Healthy Outcomes in Caring for ESKD (CHOICE) study on 394 adults aged more than 55 years. Using mixed effects and Cox proportional hazard modeling, we assessed mortality following the first year on dialysis by resilience categories for each phenotype, adjusting for baseline phenotype and other confounders defined Results: Based on global Wald tests, statistically significant associations of PF ( Conclusion: Decreased resilience in PF and VT was independently associated with mortality. Phenotypic trajectories provide added value to baseline markers and patient characteristics when evaluating mortality. Hence, resilience measures hold promise for targeting population health interventions to the highest risk patients.

Indexed as

dynamical systemsend-stage kidney diseasehealth-related quality of liferisk prediction

Identifiers

PMID36090502
PMCPMC9459128

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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.