Evidence map›Paper›PMID 24682669›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2014

Improving the mapping of condition-specific health-related quality of life onto SF-6D score.

Yingsi Yang, M Y Wong, Cindy L K Lam, Carlos K H Wong

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02038283 (A Study on Health-related Quality of Life of Patients With Colorectal Neoplasm and Cost-Effectiveness Analysis of Colorectal Cancer Screening in Hong Kong), which is not on this map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 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.

NCT02038283 completednot on this map

A Study on Health-related Quality of Life of Patients With Colorectal Neoplasm and Cost-Effectiveness Analysis of Colorectal Cancer Screening in Hong Kong

TypeobservationalSponsorThe University of Hong KongRan2009 to 2012Enrolled587ConditionsColorectal Neoplasms
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  4. Article
  5. Article
  6. Review
  7. Observational
  8. Preferred reporting items for studies mapping onto preference-based outcome measures: the MAPS statement.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2016
    Article
  9. Article
  10. Article
  11. Article
  12. Article
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  14. Mapping the disease-specific LupusQoL to the SF-6D.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2015
    Article
  15. Article
  16. Observational
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

4 authors.

Yingsi YangDepartment of Mathematics, The Hong Kong University of Science and Technology, Hong Kong, China.
M Y Wong
Cindy L K Lam
Carlos K H Wong

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study sought to improve the predicative performance and goodness-of-fit of mapping models, as part of indirect valuation, by introducing cubic spline smoothing to map a group of health-related quality of life (HRQOL) measures onto a preference-based measure.

methodsThis study was a secondary analysis of a cross-sectional health survey data assessing the HRQOL for patients with colorectal neoplasms. Mapping functions of condition-specific functional assessment of cancer therapy-colorectal (FACT-C) onto preference-based SF-6D measure were developed using a dataset of 553 Chinese subjects with different stages of colorectal neoplasm. The missing values of FACT-C were imputed using multiple imputation. Then three widely applicable models (ordinary least square (OLS), Tobit and two-part models) were employed for the mapping function after applying the cubic spline smoothing on the data. For the evaluation of the effectiveness of cubic spline smoothing and multiple imputation, the goodness-of-fit and prediction performance of each model were compared.

resultsAnalyses showed that the models fitted with transformed data from cubic spline smoothing offered better performance in goodness-of-fit and prediction than the models fitted with the original data. The values of [Formula: see text] were improved by over 10%, and the root mean square error and the mean absolute error were both reduced. The best goodness-of-fit and performance were achieved by OLS model using transformed data from cubic spline smoothing.

conclusionsCubic spline smoothing and multiple imputation were recommended for the mapping of HRQOL measures onto the preference-based measure. Among the three mapping models, the simple-to-use OLS model had the best performance.

Indexed as

Health StatusQuality of LifeColorectal NeoplasmsCross-Sectional StudiesFemaleHumansLeast-Squares AnalysisMaleMiddle AgedModels, StatisticalPsychometricsRegression Analysis

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Registered trials

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.