Evidence map›Paper›PMID 24129669›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2015

Joint models for predicting transplant-related mortality from quality of life data.

Norma Terrin, Angie Mae Rodday, Susan K Parsons

Abstract read
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Flexible modeling of longitudinal health-related quality of life data accounting for informative dropout in a cancer clinical trial.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    Trial
  4. Trial
  5. Article
  6. Association of eGFR and mortality with use of a joint model: results of a nationwide study in Iceland.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2023
    Article
  7. Health-related quality of life predicts length of hospital stay and survival rates for pediatric patients receiving allogeneic hematopoietic cell transplantation.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    Article
  8. Article
  9. Review
  10. Everyday life following hematopoietic stem cell transplantation: decline in physical symptoms within the first month and change-related predictors.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2018
    Article
  11. Introduction to special section: quantitative methods.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2015
    Article
  12. Article
  13. Predicting Health Care Utilization for Children With Respiratory Insufficiency Using Parent-Proxy Ratings of Children's Health-Related Quality of Life.Journal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & Practitioners
    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

3 authors.

Norma TerrinInstitute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington Street, Box # 063, Boston, MA, 02111, USA, nterrin@tuftsmedicalcenter.org.
Angie Mae Rodday
Susan K Parsons

Funding

Tufts Clinical and Translation Science Institute (UL1)UL1TR000073 · NCATS · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2012 to 2013
$5.5M
Innovative Statistical Methods for the Integration of Functional and Clinical OutR21CA152628 · NCI · TUFTS MEDICAL CENTER · PI PARSONS, SUSAN KENYON, TERRIN, NORMA C · 2010 to 2011
$375k
NCATS NIH HHS UL1 TR000073NCI NIH HHS R21 CA152628
6 · The paper itself

Abstract

purposeTo test whether longitudinally measured health-related quality of life (HRQL) predicts transplant-related mortality (TRM) in pediatric hematopoietic stem cell transplant (HSCT).

methodsThe predictors of interest were emotional functioning, physical functioning, role functioning, and global HRQL, as rated by the parent about the child up to 6 times over 12 months of follow-up and measured by the Child Health Ratings Inventories. We used joint models, specifically shared parameter models, with time to TRM as the outcome of interest and other causes of mortality as a competing risk, via the JM software package in R. Choosing shared parameter models instead of standard survival models, such as Cox models with time-dependent covariates, enabled us to address measurement error in the HRQL trajectories and appropriately handle missing data. The nonlinear trajectories for each HRQL domain were modeled by random spline functions. The survival submodels were adjusted for baseline patient, family, and transplant characteristics.

resultsHazard ratios per one-half standard deviation difference in emotional, physical, and role functioning, and global HRQL were 0.61 (95 % CI 0.46-0.81; p < 0.001), 0.70 (0.51-0.96; p = 0.03), 0.54 (0.34-0.85; p = 0.007), and 0.57 (0.41-0.79; p < 0.001), respectively.

conclusionsHRQL trajectories were predictive of TRM in pediatric HSCT, even after adjusting the survival outcome for baseline characteristics.

Indexed as

Health StatusAdolescentAdultChildChild, PreschoolEmotionsHematopoietic Stem Cell TransplantationHumansMaleModels, StatisticalParentsQuality of LifeTreatment Outcome

Identifiers

PMID24129669
PMCPMC3989470

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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.