Evidence map›Paper›PMID 35725609›Full record

ArticleHealth and quality of life outcomes2022

Mapping the Minnesota Living with Heart Failure Questionnaire (MLHFQ) to SF-6Dv2 in Chinese patients with heart failure.

Jianni Cong, Yanbo Zhu, Jinhang Du, Lin Lin, Yuan He, Qian Zhang, Tan Ooh Chye, Xiaoying Lv, Wenqiong Liu, Xinrui Wu and 4 more

Abstract read
In one paragraph

Article in Health and quality of life outcomes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Pooled it
  2. Pooled it
  3. Effects of an autonomy-supportive intervention programme (ASIP) on self-care, quality of life, and mental health in heart failure patients: a randomized controlled trial.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
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

14 authors.

Jianni CongSchool of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 102488, China.
Yanbo ZhuSchool of Management, Beijing University of Chinese Medicine, Beijing, 102488, China. yanbo0722@sina.com.ORCID http://orcid.org/0000-0003-4108-2025
Jinhang DuCardiology Department of Integrated Traditional Chinese and Western Medicine, China-Japan Friendship Hospital, Beijing, 100029, China.
Lin LinDepartment of Personnel, China-Japan Friendship Hospital, Beijing, 100029, China.
Yuan HeUniversity of Paris Saclay, 91190, Saint-Aubin, France.
Qian ZhangSchool of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 102488, China.
Tan Ooh ChyeSchool of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 102488, China.
Xiaoying LvSchool of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 102488, China.
Wenqiong LiuSchool of Management, Beijing University of Chinese Medicine, Beijing, 102488, China.
Xinrui WuSchool of Management, Beijing University of Chinese Medicine, Beijing, 102488, China.
Fanghui MaSchool of Management, Beijing University of Chinese Medicine, Beijing, 102488, China.
Xinyuan ZhaoSchool of Management, Beijing University of Chinese Medicine, Beijing, 102488, China.
Yuqiong LiSchool of Management, Beijing University of Chinese Medicine, Beijing, 102488, China.
Liqun LongSchool of Management, Beijing University of Chinese Medicine, Beijing, 102488, China.

Funding

national natural science foundation of china 30873256
6 · The paper itself

Abstract

purposeMapping the Minnesota Living with Heart Failure Questionnaire (MLHFQ) to SF-6Dv2 in Chinese patients with chronic heart failure, and to obtain the health utility value for health economic assessment.

methodsFour statistical algorithms, including ordinary least square method (OLS), Tobit model, robust MM estimator (MM) and censored least absolute deviations (CLAD), were used to establish the alternative model. Models were validated by using a tenfold cross-validation technique. The mean absolute error (MAE) and root mean square error (RMSE) were used to evaluate the prediction performance of the model. The Spearman correlation coefficient and Intraclass Correlation Coefficients (ICC) were used to examine the relationship between the predicted and observed SF-6Dv2 values.

resultsA total of 195 patients with chronic heart failure were recruited from 3 general hospitals in Beijing. The MLHFQ summary score and domain scores of the study sample were negatively correlated with SF-6Dv2 health utility value. The OLS regression model established based on the MLHFQ domain scores was the optimal fitting model and the predicted value was highly positively correlated with the observed value.

conclusionThe MLHFQ can be mapped to SF-6Dv2 by OLS, which can be used for health economic assessment of cardiovascular diseases such as chronic heart failure.

Indexed as

Heart FailureQuality of LifeChinaChronic DiseaseHumansLeast-Squares AnalysisSurveys and QuestionnairesHeart failureMappingMLHFQSF-6Dv2Utility

Identifiers

PMID35725609
PMCPMC9208129

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.