Evidence map›Paper›PMID 32285345›Full record

Observational studyQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2020

Trends and predictors of multidimensional health-related quality of life after living donor kidney transplantation.

John D Peipert, Juan Carlos Caicedo, John J Friedewald, Michael M I Abecassis, David Cella, Daniela P Ladner, Zeeshan Butt

Erratum issuedAbstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 19% 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, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

John D PeipertDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, 625 Michigan Ave, 21st Floor, Chicago, IL, 60611, USA. john.peipert@northwestern.edu.
Juan Carlos CaicedoNorthwestern University Transplant Outcomes Research Collaborative, Comprehensive Transplant Center, Feinberg School of Medicine, Chicago, IL, USA.
John J FriedewaldNorthwestern University Transplant Outcomes Research Collaborative, Comprehensive Transplant Center, Feinberg School of Medicine, Chicago, IL, USA.
Michael M I AbecassisNorthwestern University Transplant Outcomes Research Collaborative, Comprehensive Transplant Center, Feinberg School of Medicine, Chicago, IL, USA.
David CellaDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, 625 Michigan Ave, 21st Floor, Chicago, IL, 60611, USA.
Daniela P LadnerDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, 625 Michigan Ave, 21st Floor, Chicago, IL, 60611, USA.
Zeeshan ButtDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, 625 Michigan Ave, 21st Floor, Chicago, IL, 60611, USA.
Northwestern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLiving donor kidney transplant (LDKT) imparts the best graft and patient survival for most end-stage kidney disease (ESKD) patients. Yet, there remains variation in post-LDKT health-related quality of life (HRQOL). Improved understanding of post-LDKT HRQOL can help identify patients for interventions to maximize the benefit of LDKT.

methodsFor 477 LDKT recipients transplanted between 11/2007 and 08/2016, we assessed physical, mental, social, and kidney-targeted HRQOL pre-LDKT, as well as 3 and 12 months post-operatively using the SF-36, Kidney Disease Quality of Life-Short Form (KDQOL-SF), and the Functional Assessment of Cancer Therapy-Kidney Symptom Index 19 item version (FKSI-19). We then examined trajectories of each HRQOL domain using latent growth curve models (LGCMs). We also examined associations between decline in HRQOL from 3 months to 12 months post-LDKT and death censored graft failure (DCGF) using Cox regression.

resultsLarge magnitude effects (d > 0.80) were observed from pre- to post-LDKT change on the SF-36 Vitality scale (d = 0.81) and the KDQOL-SF Burden of Kidney Disease (d = 1.05). Older age and smaller pre- to post-LDKT decreases in serum creatinine were associated with smaller improvements on many HRQOL scales across all domains in LGCMs. Higher DCGF rates were associated with worse physical [e.g., SF-36 PCS

conclusionClinical HRQOL monitoring may help identify patients who are most likely to have failing grafts and who would benefit from post-LDKT intervention.

Indexed as

Health StatusAdultAgedAged, 80 and overFemaleFollow-Up StudiesHumansKidneyKidney Failure, ChronicKidney TransplantationLiving DonorsMaleMiddle AgedPostoperative PeriodPsychometricsQuality of LifeHealth-related quality of lifeKidney transplantLiving donorSurvival

Identifiers

PMID32285345
OpenAlexW3015547897

What OpenQuestion holds

Textmetadata
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.